Electric cart control system for power management

Abstract

A control system for an electric delivery vehicle is disclosed. A sensor detects an operating parameter associated with the electric delivery vehicle as the electric delivery vehicle moves along a roadway. An electric delivery vehicle control unit detects an electric delivery vehicle control input associated with operation of the electric delivery vehicle. An operating parameter controller automatically adjusts operation of the electric delivery vehicle to maintain operation of the electric delivery vehicle within an operating threshold based on the detected travel parameter and the electric delivery vehicle control input as the electric delivery vehicle moves along the roadway. The operating threshold is an operation of the electric delivery vehicle maintained with an overall electric power storage of the electric delivery vehicle such that the electric delivery vehicle is capable of performing a route by consuming electric power stored in an overall electric power storage device of the electric delivery vehicle.

Description

[0001] Cross-reference to related applications

[0002] This application is a U.S. non-provisional application claiming the benefit of U.S. Provisional Application No. 62 / 959,548, filed January 10, 2020, the entire contents of which are incorporated herein by reference. Technical Field

[0003] The present invention generally relates to electric delivery vehicles, and more specifically, to an electronic control system for power management of electric delivery vehicles. Background Technology

[0004] The conventional electric delivery vehicle control system for electric delivery vehicles operating on roads allows the driver to operate the vehicle upon request without any intervention. Whenever the driver requests acceleration, they press the accelerator; whenever the driver requests braking, they press the brake, regardless of the vehicle's power consumption. Drivers of electric delivery vehicles typically execute delivery routes that require multiple stops along the route to complete each required delivery, resulting in numerous sudden accelerations and brakings throughout the daily delivery route, executed without any type of intervention.

[0005] However, two different drivers can operate the same electric delivery vehicle and move it along the same route on the same road, exposed to the same operating conditions, and travel the same distance. The first driver can operate the electric delivery vehicle with significantly less power consumption than the second driver. Despite the same driving environment, the first driver can operate the electric delivery vehicle differently from the second driver, thus significantly saving more power consumption simply by comparing how the first driver operates the electric delivery vehicle compared to the second driver.

[0006] When a driver moves an electric delivery vehicle along a road, any adjustments made by the driver regarding how to operate the vehicle are generally simply a matter of the driver's natural intelligence. The first driver can significantly reduce power consumption compared to a second driver simply by making decisions that are actually performed by the first driver. For example, the first driver applies the brakes significantly less often than the second driver, the first driver coasts to a stop while the second driver applies a sudden stop, and the first driver accelerates rapidly while overtaking and then cruises to coasting speed while the second driver accelerates slowly and overtakes. Such decisions are made manually by the first driver and significantly reduce power consumption compared to the second driver's decisions. Therefore, any additional reduction in power consumption is generally achieved through the driver's manual decision-making process, and those decisions are not automatically executed by a conventional electric delivery vehicle control system. Attached Figure Description

[0007] Embodiments of the invention are described with reference to the accompanying drawings. In the drawings, the same reference numerals denote the same or functionally similar elements. Furthermore, the leftmost numeral of the reference numerals generally indicates the drawing in which the reference numeral first appears.

[0008] Figure 1 A block diagram of an electric delivery vehicle control system is shown, which can manage the electricity consumed and / or stored by the electric delivery vehicle when it is running on the road.

[0009] Figure 2 This illustrates the configuration of road segments where the geometry of the road changes as the road's slope varies;

[0010] Figure 3 A block diagram of an electric delivery vehicle control system is shown, which automatically maintains the operation of the electric delivery vehicle within operating thresholds to ensure that the power consumed by the electric delivery vehicle remains within the total power storage of the electric delivery vehicle.

[0011] Figure 4 An electric delivery vehicle monitoring configuration is shown. When the electric delivery vehicle executes a delivery route, the electric delivery vehicle monitoring configuration can monitor the operating parameters generated by the execution of the first delivery route.

[0012] Figure 5 An electric delivery vehicle monitoring configuration is shown. When the electric delivery vehicle is executing a route, the monitoring configuration can monitor battery management inputs (status of charge) and operating parameters (vehicle speed); and

[0013] Figure 6An electric delivery vehicle monitoring configuration is shown. When the electric delivery vehicle is in operation, the monitoring configuration can display a number of different operating parameters to the user via a user interface, including battery management inputs. Detailed Implementation

[0014] The following detailed description, with reference to the accompanying drawings, illustrates exemplary embodiments consistent with the present invention. Exemplary embodiments described in the detailed description, using designations such as "an exemplary embodiment," "exemplary embodiment," or "example exemplary embodiment," may include specific features, structures, or characteristics, but each exemplary embodiment need not necessarily include such specific features, structures, or characteristics. Furthermore, such phrases do not necessarily refer to the same exemplary embodiment. Moreover, when a specific feature, structure, or characteristic is described in conjunction with an exemplary embodiment, whether explicitly described or not, implementing such a feature, structure, or characteristic in conjunction with other exemplary embodiments is within the knowledge of those skilled in the art.

[0015] The exemplary embodiments described herein are provided for illustrative purposes and are not intended to be limiting. Other exemplary embodiments are possible, and modifications may be made to the exemplary embodiments within the spirit and scope of the invention. Therefore, the detailed description is not intended to limit the invention. Rather, the scope of the invention is defined only by the appended claims and their equivalents.

[0016] Embodiments of the present invention can be implemented in hardware, firmware, software, or any combination thereof. Embodiments of the present invention can also be implemented as instructions applied by a machine-readable medium, which can be read and executed by one or more processors. The machine-readable medium can include any mechanism for storing or transmitting information in a machine-readable (e.g., computing device) form. For example, the machine-readable medium can include read-only memory (“ROM”), random access memory (“RAM”), disk storage media, optical storage media, flash memory devices, electro-optical, acoustic, or other forms of propagation signals (e.g., carrier waves, infrared signals, digital signals, etc.). Further firmware, software programs, and instructions can be described herein as performing certain actions. However, it should be understood that such descriptions are merely for convenience, and such actions are actually caused by the computing device, processor, controller, or other means executing the firmware, software, programs, instructions, etc.

[0017] For the purposes of this discussion, each of the various components discussed can be considered a module, and the term "module" should be understood to include at least one software, firmware, and hardware (e.g., one or more circuits, microchips, or devices, or any combination thereof) and any combination thereof. Furthermore, it should be understood that each module may include one or more components of an actual device, and each component forming part of a described module may function cooperatively with any other component forming part of the module, or independently of any other component forming part of the module. Conversely, the multiple modules described herein may represent a single component within an actual device. Furthermore, components within a module may be in a single device or distributed across multiple devices in a wired or wireless manner.

[0018] The following detailed description of exemplary embodiments will so fully reveal the general features of the invention that others can readily modify and / or adapt various applications such as the exemplary embodiments by applying the knowledge of those skilled in the art without departing from the spirit and scope of the invention, without much experimentation. Therefore, based on the teachings and guidance presented herein, these modifications and adjustments are intended within the meaning of the exemplary embodiments and various equivalents. It should be understood that the wording or terminology herein is for descriptive purposes and not for limitation, and that the terminology or terminology of this specification will be interpreted by those skilled in the art based on the teachings herein.

[0019] System Overview

[0020] Figure 1 A block diagram of an electric delivery truck control system is shown, which manages the electricity consumed and / or stored by the electric delivery truck when it is operating on a road. The electric delivery truck control configuration 100 includes an electric delivery truck 110 that can move along a road. The electric delivery truck 110 is a wheeled, mobile truck powered by electricity stored in a total power storage device within the electric delivery truck, and moves along a road located on the ground such that the wheels remain in contact with the road as they rotate due to the propulsion of the motor, and the electric delivery truck 110 subsequently moves along the road via the rotation of the wheels. For example, the electric delivery truck 110 may include, but is not limited to, electric trucks having Gross Vehicle Weight Ratings (GVWR) of Class 3, Class 4, or Class 5 and / or any other electric trucks included in any other GVWR classification, as will be apparent to those skilled in the art without departing from the spirit and scope of the invention.

[0021] The operating parameter controller 120 can automatically adjust the operation of the electric delivery vehicle 110 as it moves along a road. Unlike a driver who can simply operate the electric delivery vehicle 110 as desired, such as by sudden acceleration and / or sudden braking, the operating parameter controller 120 can automatically adjust the operation of the electric delivery vehicle 110 so that it operates within its total power storage. Since the operation of the electric delivery vehicle 110 is dynamic, the operating parameter controller 120 can automatically adjust the operation of the electric delivery vehicle 110 in response to these dynamic changes to ensure the route followed by the electric delivery vehicle 110 is maintained by consuming power stored in its total power storage (without exceeding this total power storage). The total power storage of the electric delivery vehicle 110 is the power generated and / or stored on the electric delivery vehicle 110 when it is operating under a power storage device such as a battery pack. When the electric delivery vehicle 110 is in operation, it consumes and / or generates electricity stored in the overall power storage device. The operating parameter controller 120 can then ensure that the operation of the electric delivery vehicle 110 while executing a route continues to consume the electricity stored in the overall power storage device.

[0022] The operation parameter controller 120 can automatically adjust the operation of the electric delivery vehicle 110 based on multiple operation parameter sensors 130. These sensors detect multiple operation parameters that indicate the operation of the electric delivery vehicle 110 is functioning and can dynamically change as the electric delivery vehicle 110 moves along a road. As the operation parameters detected by the operation parameter sensors 130 change, the operation parameter controller 120 can automatically adjust the operation of the electric delivery vehicle 110 to adapt to the dynamic changes in the operation parameters, thereby maintaining the operation of the electric delivery vehicle 110 within its total power storage. In doing so, the electric delivery vehicle 110 is able to execute routes by consuming power stored in its total power storage device. Often, the electric delivery vehicle 110 can execute routes that require it to perform numerous deliveries during the route. The operating parameter controller 120 can ensure the operation of the electric delivery vehicle 110 (ensuring that the electric delivery vehicle 110 can complete the many deliveries included on the route) without depleting the power stored in the overall power storage device, thus requiring the electric delivery vehicle 110 to charge the overall power storage device before the route is completed.

[0023] The operating parameter controller 120 can also automatically adjust the operation of the electric delivery truck 110 based on multiple electric delivery truck control inputs generated from the operation of the electric delivery truck 110 and dynamically changing as the driver operates the electric delivery truck 110 along the road. These electric delivery truck control inputs can be detected by the electric delivery truck control unit 140. When the driver of the electric delivery truck 110 adjusts the operation of the electric delivery truck 110, the operating parameter controller 120 can automatically adjust the operation of the electric delivery truck 110 to adapt to the dynamic changes in the electric delivery truck control inputs generated by the driver's operation of the electric delivery truck 110, thereby ensuring that the power consumed by the electric delivery truck 110 while performing its route remains within the total power storage capacity of the electric delivery truck 110.

[0024] The operating parameter controller 120 can automatically adjust the operation of the electric delivery vehicle 110 as it moves along a road to maintain its operation within an operating threshold based on detected operating parameters and control inputs. The operating threshold is the operating range of the electric delivery vehicle 110 maintained within its total power storage, allowing it to execute its route by consuming power stored in its total power storage device.

[0025] The operating parameter controller 120 can automatically adjust the operation of the electric delivery vehicle 110 as it moves along a road to keep the operation of the electric delivery vehicle 110 within an operating threshold of its total power storage. As the electric delivery vehicle 110 moves along the road, the geometry of the road may change. The road geometry includes the road's dimensions, curvature, and / or slope. For example, the road geometry includes, but is not limited to, the road width, the number of lanes, the width of each lane, the road slope, the road curvature, and / or any other type of road geometry, which will be apparent to those skilled in the art without departing from the spirit and scope of the invention.

[0026] As the geometry of the road changes, the operation of the electric delivery truck 110 also changes to adapt to these changes. For example, as... Figure 2As shown in the depicted road segment configuration 200, the road geometry changes with the gradient of the road from 230a to 230c. In such an example, when the driver of the electric delivery truck 110 attempts to move from a gentle gradient 230a and climb to a top gradient 230b, the operating speed of the electric delivery truck 110 can be significantly reduced. Then, when the electric delivery truck 110 moves from the top gradient 230b to the gentle gradient 230c, the electric drive (A) 220 can be significantly increased. Finally, when the electric delivery truck 110 moves along the gentle gradient 230c, the operating speed can remain constant.

[0027] As the operation of the electric delivery vehicle 110 changes to adapt to variations in road geometry, the amount of electricity supplied from the overall power storage device to drive the electric delivery vehicle 110 also changes. Figure 2 The amount of electric drive 220 for the change in slope 230a to 230c is different from the amount of electric drive 220 supplied from the overall power storage device to drive the electric delivery vehicle 110 for each change in slope. For example, as the electric delivery vehicle 110 attempts to compensate for the decrease in operating speed when it moves from a gentle slope 230a to a top slope 230b, the electric delivery vehicle 110 can steadily increase the amount of electric drive 220 supplied from the overall power storage device to drive it. Then, as the electric delivery vehicle 110 increases in operating speed when it moves from the top slope 230b to a gentle slope 230c, the amount of electric drive 220 supplied from the overall power storage device to drive it can steadily decrease.

[0028] As described above, the operation parameter controller 120 can automatically adjust the operation of the electric delivery vehicle 110 to maintain its operation within an operation threshold as it moves along a road. The operation threshold is the limit on the total power storage of the electric delivery vehicle 110, allowing it to follow a route by consuming power stored in its total power storage device. Instead of simply maintaining a constant level of power supplied by the total power storage device to drive the electric delivery vehicle 110, the operation parameter controller 120 automatically adjusts the amount of power supplied by the total power storage device to drive the electric delivery vehicle 110 within the operation threshold of the power consumed by the electric delivery vehicle 110 supplied by the power storage device.

[0029] Adjustments to the operation of the electric delivery vehicle 110 are typically made by the driver's natural intelligence. However, any type of adjustment made based on the driver's natural intelligence is clearly limited to that natural intelligence, and is accomplished through the driver's perception. For example, a driver with a high level of natural intelligence might recognize that continuously pressing the accelerator to maintain operating speed while climbing a steep incline could actually negatively impact the power consumption of the electric delivery vehicle 110 provided by the overall power storage device. However, such a driver could simply reduce the amount of pressure applied to the accelerator by what the driver perceives as the appropriate amount of pressure. Such perception might not be the actual acceleration given to the electric delivery vehicle 110 to reduce its power consumption, and again, such perception is limited to the driver's natural intelligence; the driver might not continuously make appropriate adjustments to the operation of the electric delivery vehicle 110. Therefore, the operating parameter controller 120 can significantly reduce the power consumption of the electric delivery vehicle 110 by continuously adjusting its operation.

[0030] The operating parameter controller 120 may be a device capable of electronic communication with other devices. Examples of the operating parameter controller 120 may include: mobile phones, smartphones, workstations, portable computing devices, other computing devices such as laptops or desktop computers, computer clusters, set-top boxes, and / or any other suitable electronic devices, as will be apparent to those skilled in the art, without departing from the spirit and scope of the invention.

[0031] In this implementation, multiple modules may be implemented on the same computing device. Such a computing device may include software, firmware, hardware, or a combination thereof. Software may include one or more applications on an operating system. Hardware may include, but is not limited to, a processor, memory, and / or a graphical user interface display device.

[0032] Sensor detection configuration

[0033] Figure 3A block diagram of an electric delivery truck control system is shown, which automatically maintains the operation of the electric delivery truck 110 within operating thresholds to ensure that the power consumed by the electric delivery truck 110 remains within the total power storage device 365 of the electric delivery truck 110. The electric delivery truck control system configuration 300 includes multiple sensors associated with the electric delivery truck 110. These sensors include, but are not limited to, an imaging device 340, a Global Positioning System (GPS) 370, and a Controller Area Network (CAN) bus 380. When the electric delivery truck 110 is running, the sensors detect operating parameters associated with the electric delivery truck 110. Additional operating parameters can be detected via a connection to a network 310. The operating parameter controller 320 can then incorporate these operating parameters into the automatic adjustment of the electric delivery truck 110 while it is running. In doing so, the operating parameter controller 320 can adjust the vehicle system 390 of the electric delivery truck 110. The electric delivery vehicle control configuration 300 shares many similar features with the electric delivery vehicle control configuration 100; therefore, only the differences between the electric delivery vehicle control configuration 300 and the electric delivery vehicle control configuration 100 will be discussed in further detail.

[0034] Multiple sensors (e.g., but not limited to imaging device 340, GPS 370, CAN bus 380, etc.) are associated with the electric delivery vehicle 110 moving along the road. As the electric delivery vehicle 110 moves along the road, the sensors detect multiple operating parameters associated with the electric delivery vehicle 110. The operating parameters indicate the operating environment in which the electric delivery vehicle 110 is operating. The operating parameters provide the operating parameter controller 320 with a viewpoint on how the electric delivery vehicle 110 is currently operating, so that the operating parameter controller 320 can then incorporate the operating parameters into the automatic adjustment of the operation of the electric delivery vehicle 110 to take into account the current operation of the electric delivery vehicle 110 as it moves along the road.

[0035] For example, operating parameters provide a perspective on the current operation of the electric delivery truck 110, such as, but not limited to, the acceleration, braking, wheel speed, and speed of the electric delivery truck 110. Operating parameters can also provide a perspective on the current terrain the electric delivery truck 110 is operating on, such as the road gradient and a map of the road. Operating parameters can also provide a perspective on the power consumption of the electric delivery truck 110, such as, but not limited to, the current voltage of the drive battery 365, the acceleration relative to the amperes used to support the speed of the electric delivery truck 110, the state of charge of the drive battery 365, the temperature of the drive battery 365, and the power efficiency of the electric delivery truck 110 in miles per gallon gasoline equivalent (MPGe). Operating parameters may include, but are not limited to, acceleration, deceleration, electric delivery vehicle speed, wheel speed, electric delivery vehicle position, map, road gradient, yaw angle (YAW), cargo compartment temperature, cargo compartment air pressure, drive battery voltage, motor acceleration relative to the amount of amperes used, drive battery state of charge, drive battery temperature, MPGe, and / or any other type of operating parameters indicating the operation of the electric delivery vehicle 110, which will be apparent to those skilled in the art without departing from the spirit and scope of the invention.

[0036] Then, the operation parameter controller 320 can automatically adjust the operation of the electric delivery vehicle 110 as it moves along the road to keep the operation of the electric delivery vehicle 110 within an operation threshold based on the detected operation parameters. Each of the many operation parameters detected by the sensors enables the operation parameter controller 320 to automatically adjust the operation of the electric delivery vehicle 110 to accommodate each of the many operation parameters that may affect the operation of the electric delivery vehicle 110.

[0037] Unlike simply operating the electric delivery vehicle 110 with a set power level provided by the drive battery 365 to power the vehicle, the operation parameter controller 320 can identify each operation parameter and its corresponding effect on the operation of the electric delivery vehicle 110, and then automatically adjust the operation of the electric delivery vehicle 110. In doing so, the operation parameter controller 320 can automatically adjust the vehicle system 390 of the electric delivery vehicle 110. The vehicle system 390 is a system of the electric delivery vehicle 110 that triggers the electric delivery vehicle 110 to operate accordingly when adjusted. For example, the vehicle system 390 can include, but is not limited to, engine controllers, braking devices, steering devices, and / or any other type of system of the electric delivery vehicle 110 that triggers its operation.

[0038] As the electric delivery vehicle 110 moves along the road, the imaging device 340 detects multiple visual detection operating parameters associated with the electric delivery vehicle 110. These visual detection operating parameters are visually identifiable operating parameters detected by the imaging device 340 and indicate the operation of the electric delivery vehicle 110. As the electric delivery vehicle 110 moves along the road, the road-viewing camera 340 can detect numerous visual detection operating parameters affecting the operation of the electric delivery vehicle 110. These visual detection operating parameters can include tangible features of the electric delivery vehicle 110's operation that can be visually detected and / or identified by the imaging device 340, eliminating the need for the driver to visually detect such operating parameters. These visual detection operating parameters can provide the operating parameter controller 320 with a viewpoint regarding the tangible and / or visually identifiable aspects of the electric delivery vehicle 110's operation.

[0039] Then, as the electric delivery vehicle 110 moves along the road, the operation parameter controller 320 can identify the visual detection operation parameters detected by the imaging device 340 in real time. The operation parameter controller 320 can determine the impact of each visual detection operation parameter on the operation of the electric delivery vehicle 110. As the electric delivery vehicle 110 moves along the road, the operation parameter controller 320 can automatically adjust the operation of the electric delivery vehicle 110 to keep the operation of the electric delivery vehicle 110 within the operation threshold, thereby adapting to each visual detection operation parameter, since each visual detection driving parameter affects the operation of the electric delivery vehicle 110 in real time.

[0040] The imaging device 340 can also identify the geometry of the road based on the road width and the number of lanes, and provide real-time updates on the operation of the electric delivery vehicle 110 relative to the road's running markings to determine whether the electric delivery vehicle 110 is operating within the running markings and / or moving across the running markings. These operating parameters provided by the imaging device 340 enable the operating parameter controller 320 to determine whether the electric delivery vehicle 110 is operating safely within the road's running markings.

[0041] For example, the operation parameter controller 320 can identify the position of the electric delivery vehicle 110 relative to the lane included in the road in which the electric delivery vehicle 110 is moving, as detected in real time by the imaging device 340. Then, the operation parameter controller 320 can determine in real time when the position of the electric delivery vehicle 110 deviates beyond a lane center threshold. The lane center threshold is the position of the electric delivery vehicle 110 relative to the center of the lane; when it deviates beyond the lane center position, it indicates that the position of the electric delivery vehicle 110 is deviating from the lane in which it is moving. The operation parameter controller 110 can then automatically warn the driver that the position of the electric delivery vehicle 110 has deviated beyond the lane center threshold, thereby instructing the driver to adjust the position of the electric delivery vehicle 110 back within the lane center threshold.

[0042] As the electric delivery vehicle 110 moves along a road, the operating parameter controller 320 can also identify objects located in the path of the electric delivery vehicle 110. Then, in response to the identification of objects in the path, the electric delivery vehicle 110 can instruct the electric motor 375 included in the electric delivery vehicle 110 to switch from driving mode to reversing mode, thereby changing the operation of the electric motor 375 from operating as a motor to operating as a generator. The operating parameter controller 320 can then automatically reduce the speed of the electric delivery vehicle 110 because the electric motor 375 removes the power that could be used to accelerate the electric delivery vehicle 110 to store the captured power in the total power storage device 365 of the electric delivery vehicle 110, thus causing the speed of the electric delivery vehicle 110 to decrease automatically. This automatic reduction in speed allows the driver of the electric delivery vehicle 110 to avoid objects located in the path of the electric delivery vehicle 110. Imaging device 340 can detect any type of visual inspection operating parameters and provide them to operating parameter controller 320. This enables operating parameter controller 320 to automatically adjust the operation of electric delivery vehicle 110 to take into account the influence of the visual inspection operating parameters detected by imaging device, which will be obvious to those skilled in the art without departing from the spirit and scope of the invention.

[0043] Electric delivery truck monitoring configuration

[0044] When the electric delivery vehicle 110 is operating on a route, the electric delivery vehicle monitoring system 315 can monitor the electric delivery vehicle 110 and many operating parameters related to it. The electric delivery vehicle monitoring system 315 can then provide insights into the operation of the electric delivery vehicle 110 because the operating parameters monitored by the electric delivery vehicle 110 through the monitoring system 315 can provide insights into how the operation of the electric delivery vehicle 110 can be optimized to increase its MPGe while it is performing a route. In doing so, the operating parameter controller 320 can then adjust the operation of the electric delivery vehicle 110 based on the monitored operating parameters to increase its MPGe, thereby optimizing the power consumption of the electric delivery vehicle 110 while it is performing a route.

[0045] The electric delivery vehicle monitoring system 315 can monitor numerous operating parameters detected by the electric delivery vehicle control unit 335 and by numerous sensors, as well as numerous operating parameters provided via the CAN bus 380 of the electric delivery vehicle 110. The electric delivery vehicle monitoring system 315 can access the CAN bus 380 via the operating parameter controller 320, thereby monitoring numerous operating parameters provided from the network 310 via the CAN bus 380. In doing so, the electric delivery vehicle monitoring system 315 can monitor the operating parameters in real time via the network 315 as operating parameters are generated and / or adjusted during the operation of the electric delivery vehicle 110. Real-time monitoring refers to the monitoring of operating parameters as they are generated during the current state of the electric delivery vehicle 110. Real-time monitoring also includes the monitoring of operating parameters that are updated during periodic time intervals and provided to the electric delivery vehicle monitoring system 315 via the network 310 at the end of each time interval.

[0046] In doing so, the electric delivery vehicle monitoring system 315 can assist the operating parameter controller 320 in adjusting the operation of the electric delivery vehicle 110 to increase the MPGe of the electric delivery vehicle when it is executing a route, thereby optimizing the power consumption of the electric delivery vehicle 110. In addition to monitoring operating parameters while the electric delivery vehicle 110 is running, the electric delivery vehicle monitoring system 315 can also analyze past operating parameters generated by the electric delivery vehicle 110 when it is executing a route. Therefore, the electric delivery vehicle monitoring system 315 can assist the operating parameter controller 320 in adjusting the operation of the electric delivery vehicle 110 not only based on the operating parameters generated by the electric delivery vehicle 110 during the execution of the current route, but also based on the operation performed by the electric delivery vehicle 110 during the execution of past routes.

[0047] For example, such as Figure 4As shown in the electric delivery vehicle monitoring configuration 400, when the electric delivery vehicle 110 executes the first delivery route 410, the electric delivery vehicle monitoring system 315 can monitor the operating parameters generated by executing the first delivery route 410. The electric delivery vehicle monitoring system 315 can also monitor and store the operating parameters generated by the electric delivery vehicle 110 in each past execution of the first delivery route 410. In doing so, the electric delivery vehicle monitoring system 315 can combine the operating parameters generated by executing the first delivery route 410 when the electric delivery vehicle 110 executes the first delivery route 410, and can also combine the operating parameters generated by past executions of the first delivery route 410. Therefore, when the electric delivery vehicle 110 executes the first delivery route 410, the MPGe of the electric delivery vehicle 110 during the execution of the first delivery route 410 is increased in terms of assisting the operating parameter controller 320 in adjusting the operation of the electric delivery vehicle 110.

[0048] In optimizing the power consumption of the electric delivery vehicle 110 while it is executing a route, the electric delivery vehicle monitoring system 315 can monitor a number of operating parameters related to the route executed and / or past routes executed by the electric delivery vehicle 110, indicating the power consumed by the electric delivery vehicle 110 while executing the route and / or past routes. Monitoring such operating parameters while executing the route and / or past routes can be correlated with the power efficiency generated by the operation of the electric delivery vehicle 110. In doing so, the electric delivery vehicle monitoring system 315 can monitor operating parameters including battery management inputs, which are detected by the battery management unit 385 and provided to the electric delivery vehicle monitoring system 315 via the CAN bus 380, and streamed to the electric delivery vehicle monitoring system 315 via the network 310. When the electric delivery vehicle 110 is running, the battery management inputs are generated by the power consumption from the total power storage device 365 of the electric delivery vehicle 110. Therefore, the electric freight monitoring system 315 can assist the operating parameter controller 320 in adjusting the operation of the electric freight vehicle 110, based not only on the operating parameters generated by the electric freight vehicle 110 during the execution of the current route, but also on the operation performed by the electric freight vehicle 110 during the execution of past routes.

[0049] For example, the electric delivery vehicle monitoring system 315 can monitor the battery management input of the drive battery 365 via the battery management unit 385 while the electric delivery vehicle 110 is running to execute a route, as well as the voltage of the drive battery during past route execution. When the electric delivery vehicle 110 starts executing a route, the voltage of the drive battery 365 can start at a first voltage value. For example, the first voltage value when the electric delivery vehicle 110 starts executing a route is 4.1V. However, while the electric delivery vehicle 110 is executing a route, the inverter 360 can draw DC power from the drive battery 365 during route execution and convert it to AC power to drive the motor 375. In doing so, the inverter 360 may not convert the AC power generated by the motor 375, which is used as a regenerator, into DC power during route execution and then store it in the drive battery 365 to be equivalent to the DC power drawn from the drive battery 365 and converted to AC power, thereby adequately driving the motor 375 during route execution. Therefore, the electric delivery vehicle monitoring system 315 can determine that the voltage of the drive battery 365 has decreased from 4.1V to 3.2V during the route execution.

[0050] The voltage of the drive battery 365 enables the electric delivery vehicle monitoring system 315 to determine the state of charge (SOC) of the drive battery 365. The electric delivery vehicle monitoring system 315 can then set a range for the SOC of the drive battery 365 as the electric delivery vehicle 110 operates to execute a route. For example, when the electric delivery vehicle 110 begins executing a route, the electric delivery vehicle monitoring system 315 can determine the charge of the drive battery 365, and then continue to determine the charge of the drive battery 365 as the electric delivery vehicle 110 executes the route. In such an example, the electric delivery vehicle monitoring system 315 can determine the voltage of the drive battery 365 as 52% when the electric delivery vehicle 110 begins executing the route, based on the 4.1V voltage of the drive battery 365. Then, the electric delivery vehicle monitoring system 315 can determine the reduced voltage of the drive battery (3.2V) as 48% when the electric delivery vehicle 110 completes the route execution, thus setting the charge range of the drive battery 365 during route execution to vary from 52% to 48%.

[0051] The voltage of the drive battery 365 also enables the electric delivery vehicle monitoring system 315 to determine the available power storage (kWh) in the drive battery 365 while the electric delivery vehicle 110 is operating to execute a route. Before the electric delivery vehicle 110 begins executing a route, the drive battery 365 may have an initial maximum capacity of power storage available when fully charged. Because the DC power drawn from the drive battery 365 by the inverter 360 and converted to AC power to drive the motor 375 during the operation of the electric delivery vehicle 110 is not regenerated and then stored by the drive battery 365, the power storage in the drive battery 365 may decrease. Based on the decrease in the voltage of the drive battery 365 corresponding to a decrease in power storage, the electric delivery vehicle monitoring system 315 can determine the remaining power storage (kWh) in the drive battery 365 while the electric delivery vehicle 110 is executing a route.

[0052] The amount of electricity stored in the drive battery 365 (kWh) when the electric delivery vehicle 110 is running to execute a route allows the electric delivery vehicle monitoring system 315 to determine the MPGe of the electric delivery vehicle 110 during route execution. The MPGe of the electric delivery vehicle 110 provides insight into its power efficiency during operation. The electric delivery vehicle monitoring system 315 can then assist the operating parameter controller 320 in automatically adjusting the operation of the electric delivery vehicle 110 based on its MPGe. In doing so, the operating parameter controller 320 can automatically adjust the operation of the electric delivery vehicle 110 to increase its MPGe while executing a route, thereby optimizing the power consumption by the electric delivery vehicle 110 during route execution.

[0053] During the automatic adjustment of the operation of the electric delivery vehicle 110, the electric delivery vehicle monitoring system 315 assists the operation parameter controller 320. The battery management unit 385 associated with the electric delivery vehicle 110 can detect battery management inputs related to the overall battery efficiency of the electric delivery vehicle 110 as it moves along a road. When the electric delivery vehicle 110 is running, the battery management inputs are generated by power consumption from the overall power storage device 365 of the electric delivery vehicle 110. The operation parameter controller 320 can then automatically adjust the operation of the electric delivery vehicle control inputs as the electric delivery vehicle 110 moves along the road to maintain the operation of the electric delivery vehicle 110 within operating thresholds based on the detected battery management inputs and the electric delivery vehicle control inputs. In doing so, the overall battery efficiency of the electric delivery vehicle 110 is improved by consuming power stored in the overall power storage device 365 of the electric delivery vehicle 110 when executing a route.

[0054] For example, the electric delivery vehicle control unit 335 can detect the adjusted acceleration corresponding to the adjusted position of the accelerator pedal 355, based on the driver's attempt to increase the current acceleration with the adjusted position of the accelerator pedal. The operating parameter controller 320 can then determine whether the adjusted acceleration corresponding to the adjusted position of the accelerator pedal 355 exceeds an acceleration threshold. When the acceleration threshold is exceeded, it indicates that the driver is attempting to increase the current acceleration for a reduced duration that is detrimental to the operation of the electric delivery vehicle 110. The operating parameter controller 320 can then automatically adjust the operation of the electric delivery vehicle 110 to map a gradual acceleration to an increased duration that limits the increase in current acceleration and keeps the adjusted acceleration within an acceleration threshold (which is not detrimental to the operation of the electric delivery vehicle 110).

[0055] In such an example, the driver's natural intelligence can trigger the driver to suddenly and sharply depress the accelerator pedal 355 for rapid acceleration. Additionally, the driver's natural intelligence can trigger the driver to suddenly and sharply depress the brake pedal for rapid deceleration. Then, the driver's natural intelligence can trigger the driver to continuously and repeatedly depress the accelerator pedal 355 for rapid acceleration and the brake pedal for sudden stopping throughout the entire route traveled by the electric delivery truck 110. In doing so, the MPGe of the electric delivery truck 110 during route travel will be significantly affected and reduced, and the electric delivery truck 110 will suffer unnecessary wear due to sudden acceleration and braking.

[0056] like Figure 5 As shown in the electric delivery vehicle monitoring configuration 500, when the electric delivery vehicle 110 is executing a route, the electric delivery vehicle monitoring system 315 can monitor the battery management input of the power status 520 and the vehicle speed operating parameters 510. Figure 5 As shown, the driver's natural intelligence prompts the driver to depress the accelerator pedal sharply 355, resulting in sudden acceleration 530, and then the driver's natural intelligence prompts the driver to depress the brake pedal sharply, resulting in sudden braking 540. Corresponding to the sudden acceleration 530 and sudden braking 540, the battery state 520 decreases from 52% battery state 580 to 50% battery state 560. Because the driver's natural intelligence prompts the driver to continuously accelerate and brake suddenly throughout the route, the battery state continues to decrease to 48% battery state 570. Therefore, the sudden acceleration and sudden braking prompted by the driver's natural intelligence significantly affect the MPGe of the electric delivery vehicle 110 when performing the route.

[0057] The operating parameter controller 320 can monitor the adjusted position of the accelerator pedal 355 to determine when the adjusted position of the accelerator pedal 355 corresponds to an adjusted acceleration exceeding an acceleration threshold, which indicates that a sudden acceleration attempted by the driver is detrimental to the operation of the electric delivery vehicle 110. When the operating parameter controller 320 determines that the adjusted position of the accelerator pedal 355 corresponds to an increased acceleration exceeding the acceleration threshold, the operating parameter controller 320 can automatically map a tilt and / or linear acceleration model to the acceleration of the electric delivery vehicle 110. In doing so, sudden acceleration and sudden braking prompted by the driver's natural intelligence are controlled by the operating parameter controller 320, and the electric delivery vehicle 110 executes the tilt and / or linear acceleration model mapped by the operating parameter controller 320. In doing so, sudden acceleration and sudden braking by the driver can be prevented, allowing the electric delivery vehicle 110 to automatically accelerate and / or decelerate in a tilt and / or linear manner. Therefore, by preventing adverse operation of the electric delivery vehicle 110 by the driver, the MPGe of the electric delivery vehicle 110 while performing a route is increased.

[0058] The electric delivery vehicle monitoring system 315 can also assist the operating parameter controller 320 in automatically adjusting the operation of the electric delivery vehicle 110. The electric delivery vehicle monitoring system 315 can monitor operating parameters, including those used as battery management inputs, such as the voltage of the drive battery 365, the state of charge of the drive battery 365, the storage capacity (kWh) of the drive battery 365, and the MPGe of the electric delivery vehicle 110. When the electric delivery vehicle monitoring system 315 detects a deviation in the battery management input indicating a threshold that negatively impacts the performance of the electric delivery vehicle 110, it can notify the operating parameter controller 320 of this deviation. The operating parameter controller 320 can then automatically adjust the operation of the electric delivery vehicle 110 to compensate for the deviated battery management input.

[0059] In such an example, the electric delivery vehicle monitoring system 315 can identify a decrease in the state of charge of the drive battery 365 due to sudden acceleration and braking by the driver. The electric delivery vehicle monitoring system 315 can notify the operating parameter controller 320 of this decrease in the state of charge of the drive battery 365. The operating parameter controller 320 can then map a tilt and / or linear acceleration model to the electric delivery vehicle 110 to prevent sudden acceleration and braking by the driver. In doing so, the decreased state of charge of the drive battery 365 can be maintained, thereby increasing the MPGe of the electric delivery vehicle 110 as it executes its route.

[0060] The electric delivery vehicle monitoring system 315 can monitor the acceleration of the electric delivery vehicle 110 during operation to determine whether the acceleration exceeds an acceleration threshold. When the acceleration threshold is exceeded, the electric delivery vehicle monitoring system 315 instructs the operating parameter controller 320 to activate the first and second electric motors. In doing so, the first and second electric motors can generate sufficient energy to enable the electric delivery vehicle 110 to achieve the acceleration required by the driver of the electric delivery vehicle 110.

[0061] Then, after the electric delivery truck 110 reaches a stable operating state after acceleration, the electric delivery truck 110 monitoring system 315 can monitor the acceleration of the electric delivery truck 110 to determine whether the acceleration of the electric delivery truck 110 has decreased below an acceleration threshold. After the acceleration of the electric delivery truck 110 has decreased below the acceleration threshold, the electric delivery truck monitoring system 315 can instruct the operating parameter controller 320 to deactivate the first motor while keeping the second motor active. After the acceleration of the electric delivery truck 110 decreases below the acceleration threshold, the electric delivery truck 110 no longer requires both the first and second motors to be active to generate sufficient energy for the operation of the electric delivery truck 110.

[0062] For example, the driver of electric delivery truck 110 can request to accelerate the electric delivery truck to 55 mph. To accelerate the electric delivery truck 110 to 55 mph, it requires 150 kW. In doing so, once the driver has accelerated the electric delivery truck 110 above the acceleration threshold, the electric delivery truck monitoring system 315 can instruct the operating parameter controller 320 to activate both the first and second electric motors. After the electric delivery truck 110 accelerates to 55 mph, the driver can bring the electric delivery truck 110 to a stable state with limited acceleration, and then decelerate it to 45 mph. The electric delivery truck 110 requires 75 kW to decelerate and then operate at 45 mph. Activation of both the first and second electric motors is not necessary to provide sufficient power for the electric delivery truck 110 to decelerate and then operate at 45 mph. As a result, the electric delivery truck monitoring system 315 can then instruct the operating parameter controller 320 to deactivate the first motor while keeping the second motor active to provide sufficient energy to decelerate the electric delivery truck 110 and run at 45 mph after the electric delivery truck's acceleration has decreased below the acceleration threshold.

[0063] During deceleration below the acceleration threshold, the second motor is activated when the first motor is deactivated. The second motor can generate energy, which is then stored in the drive battery 365 as instructed by the operating parameter controller 320. When the electric delivery vehicle 110 decelerates below the acceleration threshold, the second motor no longer needs to generate energy to drive the electric delivery vehicle 110. Instead, it can operate to generate energy obtained from the kinetic energy generated by the electric delivery vehicle 110 as it travels along the road, and store this energy in the drive battery 365.

[0064] Instead of simply having the second electric motor generate energy to be stored in the drive battery 365 when the electric delivery vehicle 110 decelerates below an acceleration threshold, the electric delivery vehicle monitoring system 315 can instruct the operating parameter controller 320 to activate the first electric motor, which was previously deactivated during the operation of the electric delivery vehicle 110 because it does not need to sufficiently drive the electric delivery vehicle 110. In doing so, both the first and second electric motors can generate energy from the kinetic energy produced during the operation of the electric delivery vehicle 110 and store this generated energy in the drive battery 110. Therefore, compared to only the second electric motor operating when the electric delivery vehicle 110 decelerates below an acceleration threshold, additional energy can be stored in the drive battery 365 because the electric delivery vehicle 110 decelerates below the acceleration threshold due to the activation of the first electric motor in addition to the second electric motor.

[0065] The electric delivery truck monitoring system 315 can display many different operating parameters (including battery management inputs) because it monitors these parameters while the electric delivery truck 110 is running. Since many different operating parameters fluctuate as the electric delivery truck 110 operates, the electric delivery truck monitoring system 315 can display these parameters (including battery management inputs) via the user interface 350. In doing so, because the operating parameters fluctuate as the electric delivery truck 110 operates, a user managing many electric delivery trucks 110 operating in a fleet can monitor many different operating parameters, including battery management inputs.

[0066] For example, such as Figure 6As shown in the electric delivery vehicle monitoring configuration 600, when the electric delivery vehicle 110 is running, the electric delivery vehicle monitoring system 315 can display a number of different operating parameters (including battery management inputs) to the user via the user interface 350. In such an example, the electric delivery vehicle monitoring configuration 600 displays to the user: the total distance traveled by the electric delivery vehicle 110, the current driving energy in kWh, the efficiency in kWh per mile, the number of miles the electric delivery vehicle 110 has exceeded 55 Mph, the number of miles the electric delivery vehicle has exceeded the speed limit, the number of stops, the range of the state of charge during the route, the current total efficiency in MPGe, the current battery energy in kWh, the amount of regenerative braking in kWh, the amount of auxiliary energy in kWh, the current voltage of each battery cell included in the drive battery 365, the lowest temperature of the battery cell during the route, the highest temperature of the battery cell during the route, and the current ambient temperature. The electric delivery vehicle monitoring configuration 600 can describe any type of operating parameters and / or battery management inputs that can assist the user in managing the electric delivery vehicle 110, as will be apparent to those skilled in the art without departing from the spirit and scope of the invention.

[0067] In doing so, the user can monitor many different operating parameters (including battery management inputs) as the electric delivery truck 110 operates to execute routes displayed via the user interface 350, assisting the user in optimizing the delivery routes of the electric delivery truck 110 and also optimizing the efficiency of the electric delivery truck 110 while executing delivery routes. The user can analyze many different operating parameters to determine the type of route the electric delivery truck 110 should execute, thereby optimizing the efficiency of the electric delivery truck 110 while executing routes. The user can analyze different routes and then analyze the maximum speed and energy usage generated by the electric delivery truck 110 while executing each route to determine routes that increase the energy efficiency of the electric delivery truck 110 based on the many different operating parameters and battery management inputs displayed to the user via the user interface 350.

[0068] When the electric delivery truck 110 is in operation, the electric delivery truck monitoring system 315 can also display various operating parameters (including battery management inputs) to the driver via a user interface 350 located within the electric delivery truck 110. In doing so, the driver can receive real-time feedback on the operation of the electric delivery truck 110 related to its efficiency in executing delivery routes. This real-time feedback to the driver allows for enhanced driver intelligence, enabling the driver to adjust how they operate the electric delivery truck 110 to optimize its efficiency in executing delivery routes. For example, the user interface 350 within the electric delivery truck 110 can display a rating system to the driver, providing a real-time rating of the electric delivery truck 110's efficiency in executing routes. In such an example, the rating system could be a star rating system, where five stars are displayed when the electric delivery truck 110 is operating at optimal efficiency, and four stars are displayed when the electric delivery truck 110 is operating below optimal efficiency, and so on.

[0069] Imaging device 340 can also identify posted speed limit signs located along road segments and any changes in the posted speed limits. A key operating parameter for a road segment is its posted speed limit. Electric delivery vehicle monitoring system 315 can monitor the posted speed limits of road segments detected by imaging device 340. As the position of electric delivery vehicle 110 changes in real time, imaging device 340 can capture posted speed limit signs as electric delivery vehicle 110 approaches each posted speed limit sign, and electric delivery vehicle monitoring system 315 can determine the current speed limit of the road segment on which electric delivery vehicle 110 is currently operating based on the posted speed limit signs captured by imaging device 340. Electric delivery vehicle monitoring system 315 can then provide the current speed limit of the road segment on which electric delivery vehicle 110 is currently operating to operating parameter controller 320.

[0070] Then, the operation parameter controller 320 can automatically adjust the operation of the electric delivery truck 110 based on the current speed limit of the road segment on which the electric delivery truck 110 is currently operating, captured by the imaging device 340. The operation parameter controller 320 can determine that the current speed of the electric delivery truck 110 is operating does not exceed the current speed limit of the road segment on which the electric delivery truck 110 is currently operating. In doing so, the electric delivery truck 110 can determine that the driver is not exceeding the current speed limit of the road segment on which the electric delivery truck 110 is currently operating. As a result, the MPGe of the electric delivery truck 110 is increased by preventing the driver from unnecessarily increasing the speed to exceed the current speed limit of the road segment on which the electric delivery truck 110 is currently operating.

[0071] Then, the imaging device 340 can provide any changes to the posted speed limit signs to the electric delivery vehicle monitoring system 315, and the electric delivery vehicle monitoring system 315 can then provide the changes to the posted speed limit signs to the operating parameter controller 320. The operating parameter controller 320 can then automatically adjust the speed of the electric delivery vehicle 110 to ensure that the speed of the electric delivery vehicle 110 does not increase above the speed limit change of the road segment on which the electric delivery vehicle 110 is currently operating (as provided by the changes in the posted speed limit signs detected by the imaging device 340). In doing so, the driver is continuously prevented from exceeding the current speed of the road segment on which the electric delivery vehicle 110 is currently operating, thereby increasing the MPGe of the electric delivery vehicle 110.

[0072] In addition to the operating parameters provided by the CAN bus 380, the electric delivery vehicle monitoring system 315 can also monitor GPS data provided by the GPS 370 when the electric delivery vehicle 110 is running along a route. The GPS 370 can detect the position of the electric delivery vehicle 110 as it moves along the road relative to the road and its driving environment. As the position of the electric delivery vehicle 110 changes in real time, the GPS 370 can provide the operating parameters of the electric delivery vehicle 110's position to the operating parameter controller 320.

[0073] In doing so, the operation parameter controller 320 can automatically adjust the operation of the electric delivery truck 110 based on its real-time position relative to its driving environment. The operation parameter controller 320 can locate the position of the electric delivery truck 110 relative to its driving environment via GPS 370, allowing it to incorporate this location into its operation. The operation parameter controller 320 can also locate the position of the electric delivery truck 110 relative to its driving environment via GPS 370, allowing it to combine this location with the position of the electric delivery truck 110 relative to a three-dimensional (3D) map 395 of the driving environment.

[0074] The electric delivery vehicle monitoring system 315 can continuously stream a 3D map 315 of the driving environment based on the location of the electric delivery vehicle 110 detected by GPS 370. The electric delivery vehicle monitoring system 315 can then incorporate the location of the electric delivery vehicle 110 detected by GPS 370 into the 3D map 315 of the driving environment, and analyze the 3D map 315 as the location of the electric delivery vehicle 110 changes in real time relative to the driving environment depicted in the 3D map 315. As the electric delivery vehicle 110 moves along a road segment, the 3D map 315 can provide numerous operating parameters including terrain aspects of the driving environment and other aspects of the terrain surrounding the electric delivery vehicle 110, wherein the terrain aspects include features of the driving environment related to the geometry of the road segment. As the electric delivery vehicle 110 moves along a road segment, such terrain aspects can provide the operating parameter controller 320 with real-time perspectives on aspects related to the geometry of the driving environment and other aspects of the terrain of the driving environment.

[0075] For example, the electric delivery vehicle monitoring system 315 can also identify the current speed limit of the road segment on which the electric delivery vehicle 110 is currently operating, as provided by the 3D map 395, and any changes to the posted speed limits provided by the 3D map 395. As the location of the electric delivery vehicle 110 changes in real time, the 3D map 395 can provide the location of the electric delivery vehicle 110 in real time based on the location detected by GPS. Then, the electric delivery vehicle monitoring system 315 can determine the current speed limit of the road segment on which the electric delivery vehicle 110 is currently operating, based on the location of the electric delivery vehicle 110 depicted in the 3D map 395 and the corresponding speed limit provided by the 3D map 395, thereby providing the current speed limit of the road segment on which the electric delivery vehicle 110 is currently operating according to the speed limit signs provided by the 3D map 395. The electric delivery vehicle monitoring system 315 can then provide the current speed limit of the road segment on which the electric delivery vehicle 110 is currently operating to the operation parameter controller 320.

[0076] Then, the operation parameter controller 320 can automatically adjust the operation of the electric delivery truck 110 based on the current speed limit of the road segment on which the electric delivery truck 110 is currently operating, provided by the 3D map 395. The operation parameter controller 320 can ensure that the current speed of the electric delivery truck 110 does not exceed the current speed limit of the road segment on which the electric delivery truck 110 is currently operating. In doing so, the electric delivery truck 110 can ensure that the driver does not exceed the current speed limit of the road segment on which the electric delivery truck 110 is currently operating. As a result, the MPGe of the electric delivery truck 110 is increased by preventing the driver from unnecessarily increasing the speed to exceed the current speed limit of the road segment on which the electric delivery truck 110 is currently operating.

[0077] Then, the 3D map 395 can provide any changes to the speed limit to the electric delivery vehicle monitoring system 315, and the electric delivery vehicle monitoring system 315 can then provide the speed limit changes to the operation parameter controller 320. The operation parameter controller 320 can then automatically adjust the speed of the electric delivery vehicle 110 to ensure that the speed of the electric delivery vehicle 110 does not increase beyond the speed limit change of the road segment on which the electric delivery vehicle 110 is currently operating, as provided by the 3D map 395. In doing so, the driver is continuously prevented from exceeding the current speed of the road segment on which the electric delivery vehicle 110 is currently operating, thereby increasing the MPGe of the electric delivery vehicle 110.

[0078] As the electric delivery vehicle 110 moves along a road, the GPS 370 can provide numerous operating parameters, including terrain aspects of the driving environment and other aspects of the terrain surrounding the electric delivery vehicle 110, such terrain aspects including characteristics of the driving environment related to the geometry of the road. As the electric delivery vehicle 110 moves along the road, such terrain aspects can provide the operating parameter controller 320 and / or the electric delivery vehicle monitoring system 315 with real-time insights into aspects related to the geometry of the driving environment and other aspects of the terrain of the driving environment.

[0079] For example, when the electric delivery vehicle 110 is operating in a driving environment, the GPS 370 can provide driving parameters in real time, such as, but not limited to, road incline, road descent, road curvature, road topography, and / or any other type of operating parameters related to the geometry and / or topography of road segments, as will be apparent to those skilled in the art without departing from the spirit and scope of the invention. The operating parameter controller 320 can then combine the operating parameters provided by the GPS 370 and / or the viewpoints provided by the electric delivery vehicle monitoring system 315 in real time to adjust the operation of the electric delivery vehicle 110 in real time based on the road geometry and / or topography identified by the operating parameters provided by the GPS 370.

[0080] As discussed in detail above, the operation parameter controller 320 can incorporate operation parameters related to the road geometry and / or terrain to automatically adjust the operation of the electric delivery vehicle 110 based on the road geometry and / or terrain. The road geometry and / or terrain determined by the operation parameter controller 320 from the GPS 370 can have a significant impact on how the operation parameter controller 320 adjusts the operation of the electric delivery vehicle 110 to adapt to the road geometry and / or terrain. In doing so, the operation parameter controller 320 can determine the necessary operation parameters related to the road geometry and / or terrain determined by the GPS 370 to adjust the operation of the electric delivery vehicle 110 as the geometry and / or terrain of road segments change in real time. The GPS 370 can provide any type of operation parameters to the operation parameter controller 320, which allows the operation parameter controller 320 to automatically adjust the operation of the electric delivery vehicle 110 to take into account the influence of the operation parameters provided by the GPS 370, as will be apparent to those skilled in the art without departing from the spirit and scope of the invention.

[0081] The operation parameter controller 320 can also monitor numerous operation parameters associated with the CAN bus 380 of the electric delivery vehicle 110. As the electric delivery vehicle 110 moves along a road, the CAN bus 380 can receive numerous signals triggered by various components and / or sensors associated with the electric delivery vehicle 110. The operation parameter controller 320 can monitor these numerous operation parameters associated with the CAN bus 380 and then automatically adjust the operation of the electric delivery vehicle 110 based on these parameters.

[0082] The operating parameter controller 320 can identify the terrain position of the electric delivery vehicle 110 based on the current terrain of the driving environment in which the electric delivery vehicle 110 is operating on the road. The operating parameter controller can determine whether the current terrain, relative to the terrain position of the electric delivery vehicle 110, exceeds a terrain threshold. When the terrain threshold is exceeded, it indicates that the current terrain of the driving environment in which the electric delivery vehicle 110 is operating has risen, thus requiring increased power from the overall power storage device 365 of the electric delivery vehicle 110 to assist the electric delivery vehicle 110 in operating on the risen terrain. The operating parameter controller 110 can adjust the power supplied from the overall power storage device 365 to the motor 375 to increase the power supplied to the motor 375, thereby adapting to the risen terrain exceeding the terrain threshold.

[0083] The operating parameter controller 320 can determine whether the current terrain, relative to the current terrain position of the electric delivery vehicle 110, deviates below a terrain threshold. When it deviates below the terrain threshold, it indicates that the current terrain of the driving environment in which the electric delivery vehicle 110 is operating has decreased, thus requiring a reduction in power from the overall power storage device 365 of the electric delivery vehicle 110. The operating parameter controller 320 can automatically adjust the power supplied from the overall power storage device 365 to the motor 375 to reduce the power supplied to the motor 375, so that the additional power can be stored in the overall power storage device 365, thereby increasing the operating duration of the electric delivery vehicle 110 due to the additional power stored in the overall power storage device 365.

[0084] The current terrain of the electric delivery vehicle 110 allows the operating parameter controller 320 and / or the electric delivery vehicle monitoring system 110 to customize the available power supplied by the drive battery 365 to the electric delivery vehicle 110. For example, in significantly elevated terrain such as the Rocky Mountains, an electric delivery vehicle 110 operating at a terrain threshold may require additional power from the drive battery 365 to accelerate sufficiently along the elevated terrain. Compared to an electric delivery vehicle 110 operating at an altitude below the terrain threshold, elevated terrain such as in mountainous areas requires additional power to accelerate the electric delivery vehicle 110 along the elevated terrain.

[0085] Therefore, the operating parameter controller 320 can automatically provide additional power to the electric delivery vehicle 110, which has GPS coordinates provided by GPS 370 in terrain exceeding the terrain threshold, to ensure that the electric delivery vehicle 110 can travel along the elevated terrain. However, the increased power supplied from the drive battery 365 causes the energy stored in the drive battery 365 to be consumed at a faster rate than that of the electric delivery vehicle 110 operating in terrain below the terrain threshold. As a result, the operating duration of the electric delivery vehicle 110 in terrain exceeding the terrain threshold is shorter than that of the electric delivery vehicle 110 operating in terrain below the terrain threshold.

[0086] In another example, an electric delivery truck 110 operating in relatively flat terrain, such as a cornfield in Iowa, at a current elevation below a terrain threshold, might require less power from the drive battery 365 to accelerate sufficiently along a lower slope. Compared to an electric delivery truck 110 operating in terrain above the terrain threshold, a lower slope in a flat area requires less power to accelerate the electric delivery truck 110 along a lower slope.

[0087] Therefore, the operating parameter controller 320 can automatically reduce the power supplied to the electric delivery vehicle 110 with GPS coordinates provided by GPS 370 in terrain below a terrain threshold, to ensure that the electric delivery vehicle 110 has an increased operating duration. The electric delivery vehicle 110 operating in terrain below the terrain threshold does not require power for acceleration along lower slopes. Providing additional power to the driver carries the risk that the driver's natural intelligence might unnecessarily increase acceleration along lower slopes, resulting in an unnecessarily reduced operating duration of the electric delivery vehicle 110 based on the power stored in the drive battery 365. Therefore, the operating parameter controller 320 can automatically limit the available power for the electric delivery vehicle 110 to operate along terrain below the terrain threshold, ensuring an extended operating duration for the electric delivery vehicle 110 before it depletes the power stored in the drive battery 365.

[0088] In the implementation scheme, the electric delivery vehicle monitoring system 315 can determine whether the current terrain is related to the terrain location of the electric delivery vehicle 110 based on geofencing. As mentioned above, GPS 370 can provide the current location of the electric delivery vehicle 110. The electric delivery vehicle monitoring system 315 can establish geofencing around terrain areas determined to have terrain exceeding a terrain threshold. For example, because the Rocky Mountains have terrain exceeding the terrain threshold, a geofencing can be established around the Rocky Mountains, causing the electric delivery vehicle 110 operating within the geofencing around the Rocky Mountains to require additional power to fully accelerate along the elevated terrain of the Rocky Mountains.

[0089] In doing so, the electric delivery vehicle monitoring system 315 can identify the current terrain location of the electric delivery vehicle 110 based on the location provided by the GPS 370. Then, the electric delivery vehicle monitoring system 315 can determine that the current location of the electric delivery vehicle 110 is within a geofence indicating that the current terrain location of the electric delivery vehicle 110 exceeds a terrain threshold. The electric delivery vehicle monitoring system 315 can then instruct the operation parameter controller 320 to automatically increase the available power of the electric delivery vehicle 110 based on the geofence where the current terrain location of the electric delivery vehicle 110 is located. The operation parameter controller 110 can then automatically provide sufficient power to the electric delivery vehicle 110 to adequately climb the elevated terrain.

[0090] The electric delivery vehicle monitoring system 315 can also establish geofencing around terrain areas identified as having terrain below a terrain threshold. For example, because cornfields in Iowa have terrain below the terrain threshold, the electric delivery vehicle 110 can establish geofencing around cornfields in Iowa, thereby causing the electric delivery vehicle 110 operating within the geofence around the cornfields in Iowa to require less power to accelerate sufficiently along the lower slope of the cornfields in Iowa. This reduces unnecessary power consumption required for the electric delivery vehicle 110 to operate along the lower slope, thus enabling the electric delivery vehicle 110 to have increased operating time.

[0091] In doing so, the electric delivery vehicle monitoring system 315 can identify the current terrain location of the electric delivery vehicle 110 based on the location provided by the GPS 370. Then, the electric delivery vehicle monitoring system 315 can determine that the current location of the electric delivery vehicle 110 is within a geofence indicating that the current terrain location of the electric delivery vehicle 110 is below a terrain threshold. The electric delivery vehicle monitoring system 315 can then instruct the operation parameter controller 320 to automatically reduce the available power of the electric delivery vehicle 110 based on the geofence where the current terrain location of the electric delivery vehicle 110 is located. The operation parameter controller 110 can then automatically provide sufficient power to the electric delivery vehicle 110 to operate adequately on lower terrain while extending the operating duration of the electric delivery vehicle 110 by preventing unnecessary consumption of power provided by the drive battery 365.

[0092] While the electric delivery vehicle 110 is executing a route, the electric delivery vehicle monitoring system 315 also allows the user to monitor: the real-time location of the electric delivery vehicle 110, the number of times the electric delivery vehicle 110 has stopped in real-time while executing the route, the real-time duration since the last charge of the electric delivery vehicle 110, and the real-time charging range of the electric delivery vehicle 110's drive battery 365. For example, returning Figure 4 The electric delivery vehicle monitoring configuration 400 displays to the user via the user interface 350: the real-time location of the electric delivery vehicle 110, the route that the electric delivery vehicle 110 has traveled in real time, the real-time duration since the last charge, and the charging range of the drive battery 365.

[0093] In doing so, the user can monitor in real time: the current position of the electric delivery vehicle 110, the current state of the electric delivery vehicle 110's drive battery 365 relative to the route already completed by the electric delivery vehicle, and the remaining route to be completed by the electric delivery vehicle 110. The user can then monitor the performance of the electric delivery vehicle 110 relative to the route in real time and can intervene to assist the driver operating the electric delivery vehicle 110 in ensuring that the operation of the electric delivery vehicle 110 is optimized while executing the route. The electric delivery vehicle monitoring configuration 110 can display any type of operating parameters that can assist the user in tracking the performance of the electric delivery vehicle 110 while executing the route via the user interface 350, as will be apparent to those skilled in the art, without departing from the spirit and scope of the invention.

[0094] In addition to assisting users in tracking individual electric delivery trucks 110, the electric delivery truck monitoring system 315 enables users to track numerous electric delivery trucks 110 within a fleet that requires user management. These numerous electric delivery trucks 110 within the fleet can simultaneously operate from many different locations and execute many different routes. The electric delivery truck monitoring system 315 allows users to track the performance, location, and other characteristics of these numerous electric delivery trucks operating and executing routes concurrently. In doing so, users can fully manage the numerous different electric delivery trucks 110 within the fleet that requires user management based on numerous operating parameters associated with these numerous electric delivery trucks 110 (many of which are generated in real time and provided to the user for viewing via the user interface 350 through the electric delivery truck monitoring system 315). For example, the electric delivery truck monitoring system 315 can display warnings associated with these numerous electric delivery trucks 110 because these warnings are generated to the user via the user interface 350.

[0095] The electric delivery truck monitoring system 315 may be a device capable of electronic communication with other devices. Examples of the electric delivery truck monitoring system 315 may include mobile phones, smartphones, workstations, portable computing devices, other computing devices such as laptops or desktop computers, computer clusters, set-top boxes, and / or any other suitable electronic devices, as will be apparent to those skilled in the art, without departing from the spirit and scope of the invention.

[0096] In this implementation, multiple modules may be implemented on the same computing device. Such a computing device may include software, firmware, hardware, or a combination thereof. Software may include one or more applications on an operating system. Hardware may include, but is not limited to, a processor, memory, and / or a graphical user interface display.

[0097] Electric delivery truck control and detection configuration

[0098] like Figure 3 The illustrated electric delivery vehicle control system configuration 300 also includes an electric delivery vehicle control unit 335 that detects the brake pedal 345 and the accelerator pedal 355 of the electric delivery vehicle 110. The electric delivery vehicle control unit 335 can detect operating parameters related to the control of the electric delivery vehicle 110 during operation. Then, an operating parameter controller 320 can incorporate these operating parameters into the automatic adjustment of the electric delivery vehicle 110 during operation. In doing so, the operating parameter controller 320 can adjust the vehicle system 390 of the electric delivery vehicle 110.

[0099] As the electric delivery vehicle 110 moves along the road, the electric delivery vehicle control unit 335 detects multiple electric delivery vehicle control inputs related to the operation of the electric delivery vehicle 110, such as, but not limited to, inputs generated from the brake pedal 345, accelerator pedal 355, etc. These electric delivery vehicle control inputs are generated by the longitudinal operation of the electric delivery vehicle 110. The electric delivery vehicle control inputs provide the operation parameter controller 320 with a view of the real-time control status of the electric delivery vehicle 110 and the driver's intent to operate the electric delivery vehicle 110 in real time. The operation parameter controller 320 can then incorporate the electric delivery vehicle control inputs into the automatic adjustment of the operation of the electric delivery vehicle 110, taking into account the current control status of the electric delivery vehicle 110 and the driver's intent to operate the electric delivery vehicle 110.

[0100] For example, the electric delivery vehicle control input provides a view of the current state of control of the electric delivery vehicle 110 and the driver's intentions, such as, but not limited to, deceleration and / or braking of the electric delivery vehicle 110 based on the brake pedal 345, acceleration and / or increase of operating speed of the electric delivery vehicle 110 based on the accelerator pedal 355, and / or any other type of electric delivery vehicle control input indicating the current operating state of the electric delivery vehicle 110 and / or the driver's intentions, which will be apparent to those skilled in the art without departing from the spirit and scope of the invention.

[0101] Then, the operation parameter controller 320 can automatically adjust the operation of the electric delivery vehicle 110 as it moves along the road to keep the operation of the electric delivery vehicle 110 within operating thresholds based on detected electric delivery vehicle control inputs. Each electric delivery vehicle control input detected by the electric delivery vehicle control unit 335 enables the operation parameter controller 320 to automatically adjust the operation of the electric delivery vehicle 110 to adapt in real time to the current operating state of the electric delivery vehicle 110 and the driver's intentions.

[0102] The operation parameter controller 320 can identify each electric delivery vehicle control input detected by the electric delivery vehicle control unit 335 in real time as the electric delivery vehicle 110 moves along the road. When the electric delivery vehicle 110 is running in real time, the operation parameter controller 320 can determine the current operating state of the electric delivery vehicle 110 and the driver's intention based on each electric delivery vehicle control input. The current operating state of the electric delivery vehicle 110 indicates its current position during real-time operation, and the driver's intention is the driver's real-time request to make the electric delivery vehicle 110 move. The operation parameter controller 320 can then automatically adjust the operation of the electric delivery vehicle 110 as it moves along the road to adapt in real time to the current operating state of the electric delivery vehicle 110 and the driver's intention.

[0103] Instead of ignoring the current operating state of the electric delivery vehicle 110 and the driver's intentions, the operating parameter controller 320 can identify each electric delivery vehicle control input and the corresponding state of the electric delivery vehicle 110 based on each electric delivery vehicle control input, and then automatically adjust the operation of the electric delivery vehicle 110 based on the current state of the electric delivery vehicle 110 and the driver's intentions. For example, the vehicle system 390 may include, but is not limited to, engine controller, braking device, steering device, throttle valve and / or any other type of system that causes the electric delivery vehicle 110 to operate.

[0104] For example, when the electric delivery vehicle 110 moves along the road, the real-time current state of the brake pedal 345 can indicate to the operation parameter controller 320 whether the electric delivery vehicle 110 is currently braking and thus decelerating. When no pressure is applied to the brake pedal 345, the operation parameter controller 320 can determine that the electric delivery vehicle 110 is not currently braking. In doing so, the operation parameter controller 320 can automatically adjust the operation of the electric delivery vehicle 110 as it moves along the road based on the assumption that the electric delivery vehicle 110 is not currently braking. Furthermore, when no pressure is applied to the brake pedal 345, the operation parameter controller 320 can determine that the electric delivery vehicle 110 is currently braking. In doing so, the operation parameter controller 320 can automatically adjust the operation of the electric delivery vehicle 110 as it moves along the road based on the assumption that the electric delivery vehicle 110 is currently braking.

[0105] In another example, as the electric delivery vehicle 110 moves along a road, the real-time current state of the accelerator pedal 355 can indicate to the operation parameter controller 320 whether the electric delivery vehicle 110 is currently accelerating due to pressure applied to the accelerator pedal 355 by the driver. When no pressure is applied to the accelerator pedal 355, the operation parameter controller 320 can determine that the electric delivery vehicle is not currently accelerating. In doing so, the operation parameter controller 320 can automatically adjust the operation of the electric delivery vehicle 110 as it moves along the road based on the assumption that the electric delivery vehicle 110 is not currently accelerating. Furthermore, when pressure is applied to the accelerator pedal 355, the operation parameter controller 320 can determine that the electric delivery vehicle 110 is currently accelerating. In doing so, the operation parameter controller 320 can automatically adjust the operation of the electric delivery vehicle 110 as it moves along the road based on the assumption that the electric delivery vehicle 110 is currently accelerating.

[0106] Additional features

[0107] return Figure 3 The drive battery 365 may include battery modules 325a to 325n, where n is an integer equal to or greater than one. The more drive modules 325a to 325n included in the drive battery 365, the greater the power capacity that the drive battery 365 can provide to the electric delivery vehicle 110 when it is running. When the electric delivery vehicle 110 performs an extended route, it requires additional power capacity to complete the extended route, necessitating an increased number of battery modules 325a to 325n to provide sufficient power to the electric delivery vehicle 110. However, when the electric delivery vehicle 110 performs a route of reduced duration, it may not require the power provided by the increased power capacity of the battery modules 325a to 325n. Having additional battery modules 325a to 325n, where these modules do not need to provide the power required for the electric delivery vehicle 110 to perform a route of reduced duration, only adds unnecessary weight to the electric delivery vehicle 110. The addition of battery modules 325a to 325n reduces the unnecessary weight of the electric delivery truck, resulting in a reduced duration of operation for the MPGe.

[0108] Typically, the electric delivery truck 110 can operate delivery routes of varying durations. For example, the electric delivery truck 110 can operate delivery routes of increased duration during holiday seasons because the number of stops on each delivery route increases significantly due to the significant increase in the number of packages to be delivered during holiday seasons. In such an example, the duration of the delivery routes operated by the electric delivery truck 110 can be significantly increased to ensure timely delivery of the increased number of packages. However, during other times of the year outside of holiday seasons, the duration of the delivery routes operated by the electric delivery truck 110 may be significantly shorter than the duration of delivery routes operated during holiday seasons due to the significant decrease in the number of packages to be delivered.

[0109] The extended duration of the delivery route requires the electric delivery vehicle 110 to have increased power capacity so that it has sufficient power to complete the route. In doing so, the electric delivery vehicle 110 needs to drive the battery 365, including increased battery modules 325a to 325n, to have increased power capacity, ensuring sufficient power for the extended duration of the electric delivery route. The increased battery modules 325a to 325n increase the weight of the electric delivery vehicle 110, but this increased weight is necessary to have the power capacity required to perform the extended duration of the route.

[0110] However, the electric delivery truck 110 may not need to operate routes of increased duration throughout the year, but may need to operate routes of reduced duration. The operation of routes of reduced duration does not require the power capacity provided by the drive battery 365 as with routes of increased duration, thus requiring fewer battery modules 325a to 325n. When the electric delivery truck 110 does not require the additional power capacity provided by the increased battery modules 325a to 325n, operating the electric delivery truck 110 with the increased battery modules 325a to 325n while operating routes of reduced duration would unnecessarily add weight to the electric delivery truck, thereby reducing the MPGe of the electric delivery truck 110 when operating routes of reduced duration.

[0111] Instead of having different electric delivery vehicles 110 with varying numbers of battery modules 325a to 325n for different durations of routes, to ensure appropriate power capacity for each route without unnecessary weight, the drive battery 365 can be modular, allowing for the addition or removal of different numbers of battery modules 325a to 325n from the drive battery 365 to customize the power capacity of the electric delivery vehicle 110 based on the duration of the route being performed. In doing so, when the electric delivery vehicle 110 is performing a route of increased duration, a certain number of battery modules 325a to 325n can be added to the drive battery 365, thereby providing sufficient power capacity to the electric delivery vehicle 110 for the increased route duration. When the electric delivery vehicle 110 is performing a route of reduced duration, a certain number of battery modules 325a to 325n can be removed from the drive battery 365, thereby providing the electric delivery vehicle 110 with sufficient power capacity to perform the route of reduced duration without unnecessarily adding weight to the electric delivery vehicle 110.

[0112] When battery modules 325a to 325n are added to or removed from the drive battery 365, the operating parameter controller 320 can identify the adjustment amount of battery modules 325a to 325n and take into account the adjustment amount of the available power capacity of the electric delivery vehicle 110 when adjusting its operation. In an embodiment, the first battery module 325a may be the main battery module, wherein the first battery module 325a is always housed in the drive battery 365. In doing so, even if the drive battery 365 comprises a single battery module, that single battery module is also battery module 325a and operates as the main battery. Then, since there are additional battery modules 325b to 325n in addition to the first battery module 325a on the CAN bus 380, the operating parameter controller 320 can identify when to add the additional battery modules 325b to 325n to the drive battery 365. The operating parameter controller 320 can then operate the electric delivery vehicle 110 based on the battery modules 325a to 325n on the CAN bus 380. Then, since there is a lack of additional battery modules 325b to 325n besides the first battery 325a on the CAN bus 380, the operating parameter controller 320 can identify when to remove the additional battery modules 325b to 325n from the drive battery 365. The electric delivery vehicle monitoring system 315 can also identify the number of battery modules 325a to 325n included in the drive battery 365 in a similar manner.

[0113] The drive battery 365 can be air-cooled by a fan. The fan can be directed upwards into the electric delivery vehicle 110 and generate air that is directed upwards to a central air chamber, which supplies either cool or heated air to the drive battery 365 via inlets and / or outlets, both included in the central air chamber. A connector positioned on the central air chamber simply needs to move to change the air supplied to the drive battery 365 from cooled air to heated air, or vice versa, thereby automatically regulating the drive battery 365 with air. Unlike water cooling, which requires connecting water lines and electrical wiring to change the air from cool to heated air (or vice versa) and expels air bubbles from the water lines after each change, the connector can simply be configured to change the air from cooled air to heated air.

[0114] The air conditioning compressor 375 can be a high-pressure air conditioning unit comprising a single air conditioning compressor 375. A first evaporator can be dedicated to the driver's cab. A second evaporator can be dedicated to the drive battery 365. An operating parameter controller 320 can monitor the temperature of the drive battery 365 and the temperature of the cab. When the temperature of the drive battery 365 rises above a battery temperature threshold indicating that the drive battery 365 requires additional cooling, the operating parameter controller 320 can automatically divert cooling air from the evaporator associated with the cab to the evaporator associated with the drive battery 365. In doing so, additional cooling air is diverted to the drive battery 365, thereby lowering the temperature of the drive battery 365 after it exceeds the battery temperature threshold.

[0115] The electric delivery vehicle 110 may include a high-voltage drive for an external pump and / or external generator and / or any other electronic device requiring high voltage to operate. The high-voltage drive may be connected to a drive battery 365. An operating parameter controller 320 can identify when the high-voltage device is inserted into the high-voltage drive connector. Instead of providing a constant high voltage to the high-voltage device, the operating parameter controller 320 can dynamically adjust the constant high voltage supplied to the high-voltage device based on the operating parameters of the electric delivery vehicle 110. The operating parameter controller 320 identifies the radius required for the electric delivery vehicle 110 to reach its base for recharging. Therefore, the operating parameter controller 320 may reduce the high voltage supplied to the high-voltage device when the power level of the drive battery 365 begins to drop below a power level threshold that could jeopardize the electric delivery vehicle 110's ability to return to its base with sufficient power. For example, the high-voltage drive may provide a high voltage sufficient to drive an external pump. However, the operating parameter controller 320 may reduce the high voltage supplied to the external pump and / or external light source to ensure that the electric delivery vehicle 110 can reach its base without depleting the power of the drive battery 365.

[0116] in conclusion

[0117] It should be understood that the detailed description section, rather than the abstract section, is intended to interpret the claims. The abstract section may illustrate one or more, but not all, exemplary embodiments of the invention, and therefore is not intended to limit the invention and the appended claims in any way.

[0118] The invention has been described above using functional building blocks that illustrate the implementation of specific functions and their relationships. For ease of description, the boundaries of these functional building blocks have been arbitrarily defined herein. Alternative boundaries can be defined as long as the specified functions and their relationships are properly executed.

[0119] It will be apparent to those skilled in the art that various changes in form and detail can be made without departing from the spirit and scope of the invention. Therefore, the invention should not be limited to any of the exemplary embodiments described above, but should be defined solely by the appended claims and their equivalents.

Claims

1. An electric delivery vehicle control system for automatically managing multiple operating parameters of an electric delivery vehicle during operation, the electric delivery vehicle control system comprising: Multiple sensors are associated with an electric delivery vehicle moving on a road, the multiple sensors being configured to detect operating parameters associated with the electric delivery vehicle as it moves along the road, wherein the operating parameters indicate the operation of the electric delivery vehicle as it moves on the road; An electric delivery vehicle control unit, associated with an electric delivery vehicle, is configured to detect multiple electric delivery vehicle control inputs related to the operation of the electric delivery vehicle as the electric delivery vehicle moves along a road, and to detect the acceleration of the electric delivery vehicle while it is running, wherein the electric delivery vehicle control inputs are generated by the operation of the electric delivery vehicle; and An operating parameter controller is configured to automatically adjust the operation of an electric delivery vehicle as it moves along a road to maintain its operation within operating thresholds based on detected operating parameters and control inputs. These operating thresholds are the limits on the electric delivery vehicle's operation maintained within its total power storage capacity, thereby enabling the electric delivery vehicle to execute its route by consuming power stored in its total power storage capacity. Determine whether the acceleration of the electric delivery vehicle decreases below an acceleration threshold, wherein decreasing below the acceleration threshold indicates that the first motor is deactivated and the second motor is activated to drive the electric delivery vehicle during operation. The first electric motor is automatically activated while the second electric motor remains activated, so that when both motors operate below an acceleration threshold, they generate energy converted from the kinetic energy of the electric delivery vehicle's operation, wherein the second electric motor drives the electric delivery vehicle when the acceleration threshold is below the threshold. The energy generated by the first and second electric motors is stored in a battery management unit associated with the electric delivery vehicle. This energy is converted from the kinetic energy generated by the operation of the electric delivery vehicle when it is running below an acceleration threshold.

2. The electric delivery vehicle control system according to claim 1, wherein, The plurality of sensors further include: An imaging device is configured to detect multiple visual detection operating parameters associated with an electric delivery vehicle as the vehicle moves along a road. These visual detection operating parameters are driving parameters, which are visually identifiable by the imaging device and indicate the driving environment in which the electric delivery vehicle is operating.

3. The electric delivery vehicle control system according to claim 2, wherein, The operating parameter controller is further configured as follows: Identify objects in the electric delivery vehicle's path as it moves along the road; In response to the identification of an object in the driving path, the electric motor included in the electric delivery vehicle is instructed to switch from driving mode to reverse mode, thereby changing the motor from operating as a motor to operating as a generator. as well as As the electric motor removes the power that could be used to accelerate the electric delivery vehicle to store the captured power in the electric delivery vehicle's overall power storage device, the speed of the electric delivery vehicle is automatically reduced, thereby causing the electric delivery vehicle's speed to decrease automatically. This automatic reduction in speed allows the driver of the electric delivery vehicle to avoid objects located in the electric delivery vehicle's path.

4. The electric delivery vehicle control system according to claim 2, wherein, The operating parameter controller is further configured as follows: Identify the position of the electric delivery vehicle relative to a lane included in the road in which the electric delivery vehicle is moving, as detected in real time by the imaging device; In real time, determine when the position of the electric delivery vehicle deviates beyond the lane center threshold, where the lane center threshold is the position of the electric delivery vehicle relative to the center of the lane. When the deviation exceeds the lane center threshold, it indicates that the position of the electric delivery vehicle is deviating from the lane in which the electric delivery vehicle is moving. as well as The system automatically warns the driver that the electric delivery vehicle has deviated beyond the lane center threshold, thus instructing the driver to adjust the electric delivery vehicle's position back to within the lane center threshold.

5. The electric delivery vehicle control system according to claim 2, wherein, The imaging device is further configured to capture speed limits posted by speed limit signs on road segments on which the electric delivery trucks are currently operating.

6. The electric delivery vehicle control system according to claim 5, wherein, The operating parameter controller is further configured as follows: Identify the speed limit associated with the road segment on which the electric delivery vehicle is currently operating, captured by an imaging device from speed limit signs on the road segment on which the electric delivery vehicle is currently operating; The speed of the electric delivery vehicle is automatically adjusted to prevent it from exceeding the speed limit associated with the road segment on which it is currently operating. as well as As the speed associated with the road segment on which the electric delivery vehicle is currently operating changes with the speed limit captured from the speed limit sign by the imaging device, the speed of the electric delivery vehicle is automatically adjusted to prevent the electric delivery vehicle from exceeding the speed limit associated with the road segment on which it is currently operating.

7. The electric delivery vehicle control system according to claim 1, wherein, The electric delivery vehicle control unit is further configured to detect the adjusted acceleration corresponding to the adjusted position of the accelerator pedal, based on the driver's attempt to increase the current acceleration with the adjusted position of the accelerator pedal.

8. The electric delivery vehicle control system according to claim 7, wherein, The operating parameter controller is further configured as follows: Determine whether the adjusted acceleration corresponding to the adjusted position of the accelerator pedal exceeds an acceleration threshold, wherein when the acceleration threshold is exceeded, it indicates that the driver is attempting to increase the current acceleration during a reduced duration that is detrimental to the operation of the electric delivery vehicle; and The operation of the electric delivery vehicle is automatically adjusted to map a smooth acceleration to an increased duration, the smooth acceleration limiting the increase in the current acceleration, and the increased duration keeping the adjusted acceleration within an acceleration threshold that does not adversely affect the operation of the electric delivery vehicle.

9. The electric delivery vehicle control system according to claim 1, wherein, The operating parameter controller is further configured as follows: The terrain location of the electric delivery vehicle is identified based on the current terrain of the driving environment in which the electric delivery vehicle is operating on the road. Determine whether the current terrain, relative to the terrain location of the electric delivery vehicle, exceeds a terrain threshold. If the terrain threshold is exceeded, it indicates that the current terrain of the driving environment in which the electric delivery vehicle is operating has risen, thus requiring additional power from the electric delivery vehicle's overall power storage device to assist the electric delivery vehicle in operating on the elevated terrain. The power supplied to the motor from the overall power storage device is automatically adjusted to increase the power supplied to the motor, thereby adapting to the current terrain elevation that exceeds the terrain threshold.

10. The electric delivery vehicle control system according to claim 9, wherein, The operating parameter controller is further configured as follows: Determine whether the current terrain, relative to the terrain location of the electric delivery vehicle, deviates below a terrain threshold. When it deviates below the terrain threshold, it indicates that the current terrain of the driving environment in which the electric delivery vehicle is operating has decreased, thus requiring a reduction in power from the overall power storage device of the electric delivery vehicle. The power supplied to the motor from the overall power storage device is automatically adjusted to reduce the power supplied to the motor, so that the extra power can be stored in the overall power storage device, thereby increasing the operating time of the electric delivery vehicle due to the extra power stored in the overall power storage device.

11. The electric delivery vehicle control system according to claim 1, wherein, The plurality of sensors further include: A battery management unit, associated with an electric delivery vehicle, is configured to detect multiple battery management inputs related to the overall battery efficiency of the electric delivery vehicle as it moves along a road, wherein the battery management inputs are generated by power consumption from the overall power storage device of the electric delivery vehicle during its operation.

12. The electric delivery vehicle control system according to claim 11, wherein, The operating parameter controller is further configured as follows: As the electric delivery vehicle moves along the road, the operation of the electric delivery vehicle control input is automatically adjusted to keep the operation of the electric delivery vehicle within the operating threshold based on the detected battery management input and electric delivery vehicle control input, thereby increasing the overall battery efficiency of the electric delivery vehicle while executing the route by consuming the power stored in the total power storage device of the electric delivery vehicle.

13. A method for automatically managing multiple operating parameters of an electric delivery vehicle during operation, the method comprising: As the electric delivery vehicle moves along the road, operating parameters related to the electric delivery vehicle are detected, which indicate the operation of the electric delivery vehicle while it is moving on the road. As the electric delivery vehicle moves along the road, multiple control inputs related to its operation are detected; as the electric delivery vehicle runs, its acceleration is detected, where the control inputs are generated by the vehicle's movement. As the electric delivery vehicle moves along the road, its operation is automatically adjusted to maintain the operation within an operating threshold based on detected operating parameters and electric delivery vehicle control inputs. The operating threshold is the operation of the electric delivery vehicle maintained within the total power storage of the electric delivery vehicle, thereby enabling the electric delivery vehicle to execute routes by consuming the power stored in the total power storage device of the electric delivery vehicle. Based on whether the acceleration of the electric delivery vehicle decreases below the acceleration threshold, it is determined whether the first motor starts and the second motor is activated. When operating below an acceleration threshold, the first electric motor is automatically activated while the second electric motor remains activated to convert kinetic energy generated from the operation of the electric delivery vehicle into energy, wherein the second electric motor drives the electric delivery vehicle when the acceleration threshold is below the threshold; and The energy generated by the first and second electric motors is stored in a battery management unit associated with the electric delivery vehicle. This energy is converted from the kinetic energy generated by the operation of the electric delivery vehicle when it is running below an acceleration threshold.

14. The method according to claim 13, wherein, Detecting multiple operating parameters includes: As the electric delivery vehicle moves along the road, it detects multiple visual detection operating parameters associated with the electric delivery vehicle. These visual detection operating parameters are driving parameters, which are visually identifiable and indicate the driving environment in which the electric delivery vehicle is operating, as detected by the imaging device.

15. The method according to claim 14, wherein, Automatic adjustment of the operation of electric delivery vehicles includes: As the electric delivery vehicle moves along the road, it identifies objects located in the path of the electric delivery vehicle. In response to identifying an object located in the travel path, instructing the electric motor included in the electric delivery vehicle to switch from driving mode to reversing mode, thereby changing the motor from operating as a motor to operating as a generator; and As the electric motor removes the power that could be used to accelerate the electric delivery vehicle to store the captured power in the electric delivery vehicle's overall power storage device, the speed of the electric delivery vehicle is automatically reduced, thereby causing the electric delivery vehicle's speed to decrease automatically. This automatic reduction in speed allows the driver of the electric delivery vehicle to avoid objects located in the electric delivery vehicle's path.

16. The method according to claim 13, wherein, The automatic adjustment of the operation of the electric delivery vehicle further includes: Identify the position of the electric delivery vehicle detected in real time relative to the lane included in the road in which the electric delivery vehicle is moving; The system determines in real time when the position of an electric delivery vehicle deviates beyond a lane center threshold, where the lane center threshold is the position of the electric delivery vehicle relative to the center of the lane. A deviation exceeding the lane center threshold indicates that the electric delivery vehicle is deviating from the lane it is moving in. The system automatically warns the driver that the electric delivery vehicle has deviated beyond the lane center threshold, thus instructing the driver to adjust the electric delivery vehicle's position back to within the lane center threshold.

17. The method according to claim 16, wherein, Detecting multiple operating parameters further includes: Capture the speed limit posted by speed limit signs on the road segment where the electric delivery truck is currently operating.

18. The method according to claim 17, wherein, The automatic adjustment of the electric delivery vehicle further includes: Identify the speed limit associated with the road segment on which the electric delivery vehicle is currently operating, captured from speed limit signs on the road segment on which the electric delivery vehicle is currently operating; Automatically adjust the speed of the electric delivery vehicle to prevent it from exceeding the speed limit associated with the road segment it is currently operating on; and As the speed associated with the road segment on which the electric delivery vehicle is currently operating changes with the speed limit captured from the speed limit sign by the imaging device, the speed of the electric delivery vehicle is automatically adjusted to prevent the electric delivery vehicle from exceeding the speed limit change associated with the road segment on which the electric delivery vehicle is currently operating.

19. The method according to claim 13, wherein, Detecting multiple operating parameters further includes: Based on the driver's attempt to increase the current acceleration by adjusting the position of the accelerator pedal, the system detects the adjusted acceleration corresponding to the adjusted position of the accelerator pedal.

20. The method according to claim 19, wherein, The automatic adjustment of the operation of the electric delivery vehicle further includes: Determine whether the adjusted acceleration corresponding to the adjusted position of the accelerator pedal exceeds an acceleration threshold, wherein when the acceleration threshold is exceeded, it indicates that the driver is attempting to increase the current acceleration during a reduced duration that is detrimental to the operation of the electric delivery vehicle; and The operation of the electric delivery vehicle is automatically adjusted to map a smooth acceleration to an increased duration, the smooth acceleration limiting the increase in the current acceleration, and the increased duration keeping the adjusted acceleration within an acceleration threshold that does not adversely affect the operation of the electric delivery vehicle.

21. The method of claim 20, further comprising: The terrain location of the electric delivery vehicle is identified based on the current terrain of the driving environment in which the electric delivery vehicle is operating on the road. Determine whether the current terrain, relative to the terrain location of the electric delivery vehicle, exceeds a terrain threshold. If the terrain threshold is exceeded, it indicates that the current terrain of the driving environment in which the electric delivery vehicle is operating has risen, thus requiring additional power from the electric delivery vehicle's overall power storage device to assist the electric delivery vehicle in operating on the elevated terrain. The power supplied to the motor from the overall power storage device is automatically adjusted to increase the power supplied to the motor, thereby adapting to the current terrain elevation that exceeds the terrain threshold.

22. The method of claim 21, further comprising: Determine whether the current terrain, relative to the terrain location of the electric delivery vehicle, deviates below a terrain threshold. When it deviates below the threshold, it indicates a decrease in the current terrain of the driving environment in which the electric delivery vehicle is operating, thus requiring reduced power from the overall power storage device of the electric delivery vehicle; and The power supplied to the motor from the current total power storage device is automatically adjusted to reduce the power supplied to the motor, so that the extra power can be stored in the total power storage device, thereby increasing the operating time of the electric delivery vehicle due to the extra power stored in the total power storage device.

23. The method of claim 13, further comprising: As the electric delivery vehicle moves along the road, multiple battery management inputs related to the overall battery efficiency of the electric delivery vehicle are detected, wherein the battery management inputs are generated by the power consumption from the overall power storage device of the electric delivery vehicle during operation.

24. The method of claim 23, further comprising: As the electric delivery vehicle moves along the road, its operation is automatically adjusted based on the electric delivery vehicle control inputs to keep it within operating thresholds, thereby increasing the overall battery efficiency of the electric delivery vehicle while executing the route by consuming the power stored in the total power storage device of the electric delivery vehicle.

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