Electric quantity analysis method and device for pure electric sanitation vehicle and pure electric sanitation vehicle

Abstract

The application provides a kind of electric power analysis method, device and pure electric sanitation vehicle of pure electric sanitation vehicle, and relates to the electric power analysis method, device and pure electric sanitation vehicle of pure electric sanitation vehicle, wherein the method comprises: in the present operation cycle process of pure electric sanitation vehicle, the real-time vehicle speed, real-time positioning and pure electric sanitation vehicle on the motor start-stop signal of upper installation of pure electric sanitation vehicle are obtained;Carrying out real-time identification of operation state, obtain the current sub-stage of pure electric sanitation vehicle in the present operation cycle process, determine the remaining energy consumption demand of the present operation cycle process;According to the real-time remaining electric quantity of pure electric sanitation vehicle, the remaining energy consumption demand of the present operation cycle process and the single energy consumption demand of the present operation cycle process, determine the real-time remaining operation cycle number of pure electric sanitation vehicle.The application improves energy utilization efficiency and operation reliability, helps driver to make scientific decision, reduces anxiety, and improves the overall operation efficiency of sanitation vehicle.

Description

Technical Field

[0001] This application relates to the field of vehicle control technology, and more specifically, to a method and device for analyzing the power consumption of a pure electric sanitation vehicle, and the pure electric sanitation vehicle itself. Background Technology

[0002] With the acceleration of electrification in urban sanitation operations, pure electric sanitation vehicles have been widely used in various urban road cleaning tasks. In actual operation, drivers often face the difficult decision of whether the remaining battery power can support the completion of the current work cycle. Because the area, mileage, road conditions, and environmental conditions vary for each operation, and because the power consumption of the equipment during operation is enormous, the remaining range displayed on traditional vehicle instruments is only calculated based on pure driving conditions and cannot reflect the actual energy consumption during operation.

[0003] Currently, electric vehicles generally use a method that estimates the remaining driving range based on the remaining power of the battery and historical average energy consumption, and display this information on the dashboard for the driver's reference. Some intelligent sanitation vehicles or autonomous driving systems are attempting to introduce a mechanism that compares the real-time remaining range with the return distance, dynamically determining whether the vehicle has the ability to return during the journey, or extending the working time by planning low-energy routes.

[0004] However, existing technologies lack a pre-operation calculation mechanism, making it impossible to know before departure whether the operation can be completed smoothly. They can only rely on experience to charge blindly, resulting in long queues at charging stations and affecting the overall dispatch efficiency of the fleet. Secondly, they lack real-time tracking functions during operation. Once the operation begins, it is found that the battery is insufficient to complete the cycle, which is difficult to control. Furthermore, there is no detailed modeling of the complete operation cycle or the dynamic changes in the workload, which makes it difficult to meet the actual needs of pure electric sanitation vehicles for high efficiency and safety. Summary of the Invention

[0005] The purpose of this application is to address the shortcomings of the prior art by providing a method, device, and vehicle for analyzing the power consumption of a pure electric sanitation vehicle, thereby improving energy utilization efficiency and operational reliability, helping drivers make informed decisions, reducing anxiety, and enhancing the overall operational efficiency of the sanitation vehicle.

[0006] To achieve the above objectives, the technical solutions adopted in the embodiments of this application are as follows: In a first aspect, one embodiment of this application provides a method for analyzing the power consumption of a pure electric sanitation vehicle, the method comprising: During the current operation cycle of the pure electric sanitation vehicle, the real-time vehicle speed, real-time location, and start / stop signals of the motor on the pure electric sanitation vehicle are acquired. Based on the real-time vehicle speed, the real-time positioning, and the start / stop signal of the superstructure motor, the operation status is identified in real time to obtain the current sub-stage in which the pure electric sanitation vehicle is in the current operation cycle. Based on the current sub-stage and the real-time location, determine the remaining energy consumption requirement for the current operation cycle. The real-time remaining number of operation cycles for the pure electric sanitation vehicle is determined based on the real-time remaining battery power of the pure electric sanitation vehicle, the remaining energy consumption requirement of the current operation cycle, and the energy consumption requirement per operation cycle.

[0007] Optionally, determining the remaining mileage energy consumption requirement for the current operation cycle based on the current sub-stage and the real-time positioning includes: Based on the real-time location, determine the remaining mileage of the current sub-stage; Based on the current sub-stage, determine the remaining sub-stages in the current job cycle; The unit mileage energy consumption of the current sub-stage and the unit mileage energy consumption of each remaining sub-stage are determined from the preset work cycle energy consumption model library. The energy consumption requirement for the remaining mileage is calculated based on the remaining mileage of the current sub-stage, the energy consumption per unit mileage of the current sub-stage, the preset mileage of each remaining sub-stage, and the energy consumption per unit mileage of each remaining sub-stage.

[0008] Optionally, determining the remaining number of operation cycles for the pure electric sanitation vehicle based on its current remaining battery power, the remaining mileage energy consumption requirement for the current operation cycle, and the preset single-cycle energy consumption requirement for the current operation cycle includes: Obtain the current air conditioning status of the pure electric sanitation vehicle; If the current air conditioner is on, then the remaining air conditioner energy consumption requirement for this operation cycle is calculated based on the remaining mileage of the current sub-stage, the preset mileage of each remaining sub-stage, and the preset air conditioner power per unit time. The remaining number of operation cycles for the pure electric sanitation vehicle is determined based on the current remaining battery power, the remaining mileage energy consumption requirement, the remaining air conditioning energy consumption requirement, and the preset single-cycle energy consumption requirement for the current operation cycle.

[0009] Optionally, determining the remaining number of operation cycles for the pure electric sanitation vehicle based on its current remaining battery power, the remaining mileage energy consumption requirement for the current operation cycle, and the preset single-cycle energy consumption requirement for the current operation cycle includes: Based on the current ambient temperature parameters, determine the current battery capacity influence coefficient of the pure electric sanitation vehicle; The remaining number of operation cycles for the pure electric sanitation vehicle is determined based on the current remaining battery power, the remaining mileage energy consumption requirement, the current battery capacity influence coefficient, and the preset single-cycle energy consumption requirement for the current operation cycle.

[0010] Optionally, before the current work cycle of the pure electric sanitation vehicle, the method further includes: Obtain the operation configuration parameters for this operation cycle and the ambient temperature before operation; the operation configuration parameters include: operation route, water supply requirement configuration information, air conditioning activation requirement, and operation mode; Based on the work route, the water supply requirement configuration information, the air conditioning activation requirement, the work mode, and the ambient temperature before the work, calculate the energy consumption requirement for each work cycle.

[0011] Optionally, the method further includes: Obtain the battery capacity before the current job cycle; The number of operations that can be performed before the operation is calculated based on the battery capacity before the operation, the ambient temperature before the operation, and the energy consumption requirement per operation.

[0012] Optionally, the method further includes: Based on the number of times the operation can be performed before the operation, a pre-operation battery level reminder message will be issued.

[0013] Optionally, the method further includes: Based on the real-time location, the real-time return distance of the pure electric sanitation vehicle is determined; Based on the real-time return distance, the preset return unit energy consumption, and the real-time remaining power, a return power reminder message is generated.

[0014] Secondly, another embodiment of this application provides a power analysis device for a pure electric sanitation vehicle, the device comprising: The acquisition module is used to acquire the real-time speed, real-time location, and start / stop signals of the motor on the pure electric sanitation vehicle during the current operation cycle of the pure electric sanitation vehicle. The identification module is used to identify the working status in real time based on the real-time vehicle speed, the real-time positioning and the start / stop signal of the superstructure motor, so as to obtain the current sub-stage in which the pure electric sanitation vehicle is in the current working cycle. The first determining module is used to determine the remaining energy consumption requirement of the current operation cycle based on the current sub-stage and the real-time positioning. The second determining module is used to determine the real-time remaining number of operation cycles of the pure electric sanitation vehicle based on the real-time remaining power of the pure electric sanitation vehicle, the remaining energy consumption requirement of the current operation cycle, and the single energy consumption requirement of the current operation cycle.

[0015] Thirdly, another embodiment of this application provides a vehicle controller, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the vehicle controller is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the steps of the power analysis method for a pure electric sanitation vehicle as described in any of the first aspects above.

[0016] Fourthly, another embodiment of this application provides a storage medium storing a computer program, which, when executed by a processor, performs the steps of the power analysis method for a pure electric sanitation vehicle as described in any of the first aspects above.

[0017] Fifthly, another embodiment of this application provides a pure electric sanitation vehicle, which includes at least: a vehicle body and a vehicle controller disposed on the vehicle body, the vehicle controller being used to execute the steps of the power analysis method of any of the pure electric sanitation vehicles described in the first aspect.

[0018] The beneficial effects of this application are: This application provides a method, device, and vehicle for analyzing the power consumption of a pure electric sanitation vehicle. During the current work cycle of the pure electric sanitation vehicle, the method acquires the vehicle's real-time speed, real-time location, and the start / stop signals of the vehicle's motor. Based on the real-time speed, location, and motor start / stop signals, the method performs real-time identification of the work status to determine the current sub-stage of the work cycle. Based on the current sub-stage and real-time location, the method determines the remaining energy consumption requirement for the current work cycle. Based on the vehicle's real-time remaining power, the remaining energy consumption requirement for the current work cycle, and the energy consumption requirement per cycle, the method determines the remaining number of work cycles. This application achieves refined modeling of the energy consumption requirement throughout the entire work process by real-time acquisition of the vehicle's speed, location, and motor start / stop signals, identifying the current sub-stage of the work cycle, and dynamically calculating the remaining mileage and energy consumption for subsequent stages based on real-time location. By comprehensively considering real-time remaining power, energy consumption per cycle, and current remaining energy demand, the number of operation cycles the vehicle can continue to complete is calculated, improving the accuracy and foresight of power management and avoiding the risk of power outages mid-operation due to misjudgment. This application improves energy utilization efficiency and operational reliability, helps drivers make informed decisions, reduces anxiety, and enhances the overall operational efficiency of sanitation vehicles. Attached Figure Description To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A flowchart illustrating a power analysis method for a pure electric sanitation vehicle provided in this application; Figure 2 A flowchart illustrating the process of determining the remaining mileage energy consumption requirement in a power analysis method for a pure electric sanitation vehicle provided in this application embodiment; Figure 3 A flowchart illustrating the process of determining the remaining number of operation cycles in a power analysis method for a pure electric sanitation vehicle provided in this application embodiment; Figure 4 A flowchart illustrating the determination of the remaining number of operation cycles in another method for analyzing the power consumption of a pure electric sanitation vehicle provided in this application embodiment; Figure 5 A flowchart illustrating the process of determining the single-use energy consumption requirement in another power analysis method for a pure electric sanitation vehicle provided in this application embodiment; Figure 6 A flowchart illustrating the process of determining the number of operations that can be performed before operation in another method for analyzing the power consumption of a pure electric sanitation vehicle provided in this application embodiment; Figure 7 A schematic diagram illustrating the process of determining and generating return trip power reminder information in another power analysis method for a pure electric sanitation vehicle provided in this application embodiment; Figure 8 A schematic diagram of the structure of a power analysis device for a pure electric sanitation vehicle provided in an embodiment of this application; Figure 9 This is a schematic diagram of the structure of a vehicle controller provided in an embodiment of this application; Figure 10 This is a structural schematic diagram of a pure electric sanitation vehicle provided in an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0021] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0022] It should be noted that the term "comprising" will be used in the embodiments of this application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0023] With the acceleration of electrification in urban sanitation operations, pure electric sanitation vehicles have been widely used in various urban road cleaning tasks. Drivers of pure electric sanitation vehicles often face anxiety about whether the battery will be sufficient to complete the task before and during their shifts. Current technology only displays the driving range regardless of operating conditions, failing to consider factors such as high power consumption during operation, low-temperature performance degradation, and air conditioning energy consumption. Furthermore, it lacks real-time tracking during operation and cannot provide complete operational cycle modeling and decision support, leading drivers to blindly charge or reduce the quality of their work, thus affecting operational efficiency.

[0024] Therefore, this application provides a method for analyzing the energy consumption of a pure electric sanitation vehicle. By acquiring the real-time vehicle speed, real-time location, and start / stop signals of the vehicle's motor during the current work cycle, the remaining energy consumption requirement for the current work cycle is determined. Based on the real-time remaining energy consumption, the remaining energy consumption requirement for the current work cycle, and the energy consumption requirement per cycle, the real-time remaining number of work cycles for the pure electric sanitation vehicle is determined. This application can meet the operational needs of pure electric sanitation vehicles and improve work efficiency.

[0025] To clearly describe the power analysis method for a pure electric sanitation vehicle provided in this application embodiment, the method will be explained below with reference to several accompanying drawings. Figure 1 A flowchart illustrating a power analysis method for a pure electric sanitation vehicle provided in this application is shown below. Figure 1 As shown, the method includes: Step 101: During the current operation cycle of the pure electric sanitation vehicle, acquire the real-time vehicle speed, real-time location, and start / stop signals of the motor on the pure electric sanitation vehicle.

[0026] Among them, pure electric sanitation vehicles are sanitation-specific vehicles that use electricity as their sole power source, and can include pure electric sweepers, water sprinklers, and other sanitation vehicles. Pure electric sanitation vehicles have a chassis drive system and a superstructure operating system. The superstructure operating system, excluding the vehicle chassis, is the collective term for all devices specifically designed to perform sanitation cleaning, garbage collection, or road maintenance functions. The superstructure operating system has corresponding superstructure motors and can include sweeping mechanisms, suction nozzle mechanisms, centrifugal fans, water removal and dust suppression systems, etc., all of which have corresponding motors.

[0027] The work cycle is a complete operation of a pure electric sanitation vehicle, which can include: a driving segment, a water refill segment, a work segment, an unloading segment, and a return segment. The driving segment is the sub-stage from the sanitation station to the water refill point; if a water refill point is located within the sanitation station, this segment is ignored. The water refill segment is the sub-stage from the water refill point to the work start point; if a water refill point is located within the sanitation station, this segment is from the sanitation station to the work start point. The work segment is the sub-stage from the work start point to the work end point. The unloading segment is the sub-stage from the work end point to the garbage station, used to dump the garbage generated during the operation. The return segment is the sub-stage from the garbage station to the sanitation station. Corresponding location information exists for the sanitation station, water refill point, work start point, work end point, and garbage station.

[0028] The real-time speed of the pure electric sanitation vehicle is its current driving speed, determined by a speed sensor installed on the vehicle. Real-time positioning refers to the vehicle's current geographical location information, obtained through the vehicle's Global Positioning System (GPS). The superstructure motor start / stop signal is an electrical signal indicating the operating status of the superstructure equipment, used to indicate whether the equipment is working; this can be determined by the corresponding motor of the superstructure equipment.

[0029] Optionally, during the current operation cycle of the pure electric sanitation vehicle, the real-time speed of the pure electric sanitation vehicle is obtained through the vehicle speed sensor on the pure electric sanitation vehicle, the real-time location of the pure electric sanitation vehicle is obtained through GPS, and the start / stop signal of the motor of the upper structure of the pure electric sanitation vehicle is obtained through the motor corresponding to the upper structure equipment.

[0030] Step 102: Based on real-time vehicle speed, real-time positioning, and start / stop signals of the superstructure motor, perform real-time identification of the operating status to obtain the current sub-stage in which the pure electric sanitation vehicle is in this operating cycle.

[0031] Real-time operation status identification refers to determining the current sub-stage of the operation cycle in which the vehicle is located. Each sub-stage in this operation cycle has a corresponding route and route location information.

[0032] Optionally, based on real-time positioning and the existence of corresponding routes for each sub-stage during the current operation cycle, the current candidate sub-stage is determined, and the current sub-stage is selected from the candidate sub-stages based on real-time vehicle speed and the start / stop signal of the superstructure motor. If the start / stop signal of the superstructure motor is "start," it indicates that the current sub-stage may be the operation segment.

[0033] For example, if real-time location data indicates that the pure electric sanitation vehicle is between the sanitation station and the water filling point, and the real-time speed is greater than 5 km / h, and the motor start / stop signal is "stop," then the current sub-stage is the driving segment. If real-time location data indicates that the pure electric sanitation vehicle is within 50 meters of the water filling point, and the real-time speed indicates that the vehicle is stationary or moving at low speed, and the water level sensor indicates that the water is full, then the current sub-stage is the water filling segment. If real-time location data indicates that the pure electric sanitation vehicle is between the start and end points of the operation, and the real-time speed is less than or equal to 15 km / h, and the motor start / stop signal is "start" and "fully running," then the current sub-stage is the operation segment. If real-time location data indicates that the pure electric sanitation vehicle is within 50 meters of the garbage station, and the real-time speed indicates that the vehicle is stationary or moving at low speed, then the current sub-stage is the unloading segment. If real-time location data indicates that the pure electric sanitation vehicle is between the end point of the operation and the sanitation station, and the real-time speed is greater than 5 km / h, and the motor start / stop signal is "stop," then the current sub-stage is the return segment.

[0034] Step 103: Determine the remaining energy consumption requirement for this operation cycle based on the current sub-stage and real-time location.

[0035] The remaining energy demand is the total amount of electrical energy required from the current moment until the completion of the remaining part of this operation cycle.

[0036] Optionally, based on the current sub-stage and real-time location, the remaining sub-stage is determined, and based on the remaining sub-stage and corresponding energy consumption, the remaining energy consumption requirement for this operation cycle is determined.

[0037] Step 104: Determine the real-time remaining number of operation cycles for the pure electric sanitation vehicle based on the real-time remaining battery power, the remaining energy consumption requirement for this operation cycle, and the energy consumption requirement per cycle for this operation cycle.

[0038] The single-cycle energy consumption requirement is the theoretical total power consumption required to complete a full work cycle, which is the sum of the product of unit energy consumption and mileage at each stage. Real-time remaining power is the current state of charge (SOC) parameter of the battery. Real-time remaining work cycle count is a value calculated based on the current power and subsequent energy consumption predictions, indicating how many more similar work cycles can be completed. For example, a real-time remaining work cycle count greater than or equal to 1 indicates that one more work cycle can be completed without recharging, and is indicated by a green indicator light; a real-time remaining work cycle count less than 1 but greater than or equal to 0.9 indicates that one more cycle can be completed by saving power, and is indicated by a green indicator light; a real-time remaining work cycle count less than 0.9 but greater than or equal to 0.5 indicates that after completing this cycle, it is impossible to continue with another work cycle, and a return trip for recharging is required; alternatively, shortening the work distance, turning off the air conditioner, and switching to energy-saving mode can allow for one more cycle to be completed, and is indicated by a yellow indicator light; a real-time remaining work cycle count greater than or less than 0.5 indicates that after completing this cycle, it is impossible to continue with another work cycle, and a return trip for recharging is required, and is indicated by a red indicator light.

[0039] Optionally, the current energy consumption of the pure electric sanitation vehicle is determined based on its real-time remaining battery power. Then, based on the current energy consumption, energy consumption safety margin, remaining energy consumption requirement for the current work cycle, and energy consumption requirement per trip in the current work cycle, the safe energy consumption of the vehicle after the current work cycle is obtained by subtracting the energy consumption safety margin and the remaining energy consumption requirement for the current work cycle from the current energy consumption. Finally, the real-time remaining number of work cycles for the pure electric sanitation vehicle is obtained by dividing the safe energy consumption after the current work cycle by the energy consumption requirement per trip. The energy consumption safety margin can be the energy consumption corresponding to a 20% state of charge parameter for the pure electric sanitation vehicle.

[0040] In this embodiment, during the current work cycle of the pure electric sanitation vehicle, the real-time vehicle speed, real-time location, and start / stop signals of the vehicle's superstructure motor are acquired. Based on the real-time vehicle speed, real-time location, and superstructure motor start / stop signals, the work status is identified in real time to determine the current sub-stage of the pure electric sanitation vehicle in the current work cycle. Based on the current sub-stage and real-time location, the remaining energy consumption requirement for the current work cycle is determined. Based on the real-time remaining battery power of the pure electric sanitation vehicle, the remaining energy consumption requirement for the current work cycle, and the energy consumption requirement per cycle, the real-time remaining number of work cycles for the pure electric sanitation vehicle is determined. This application achieves refined modeling of the energy consumption requirement for the entire work process by real-time acquisition of the pure electric sanitation vehicle's speed, location, and superstructure motor start / stop signals, identifying the current sub-stage of the vehicle in the work cycle, and dynamically calculating the remaining mileage and energy consumption for subsequent stages based on the real-time location. By comprehensively considering real-time remaining power, energy consumption per cycle, and current remaining energy demand, the number of operation cycles the vehicle can continue to complete is calculated, improving the accuracy and foresight of power management and avoiding the risk of power outages mid-operation due to misjudgment. This application improves energy utilization efficiency and operational reliability, helps drivers make informed decisions, reduces anxiety, and enhances the overall operational efficiency of sanitation vehicle fleets.

[0041] Based on the above embodiments, this application also provides a process for determining the remaining range energy consumption requirement in the power analysis method for pure electric sanitation vehicles. Figure 2 This is a flowchart illustrating the process of determining the remaining mileage energy consumption requirement in a power analysis method for a pure electric sanitation vehicle provided in an embodiment of this application. Figure 2 As shown, in step 103 above, based on the current sub-stage and real-time positioning, the remaining mileage energy consumption requirement for this operation cycle is determined, including: Step 201: Determine the remaining mileage of the current sub-stage based on real-time positioning.

[0042] Each sub-stage has corresponding mileage and location information. For example, the mileage of a work segment is three kilometers, and the location information of the work segment includes the starting point, the ending point, and the location information of multiple work points between the starting point and the middle of the work segment. The remaining mileage of the current sub-stage is the mileage of the pure electric sanitation vehicle to the end position of the current sub-stage according to real-time positioning.

[0043] Optionally, the remaining mileage of the current sub-stage can be determined based on the real-time location and the total mileage of the current sub-stage.

[0044] Step 202: Based on the current sub-stage, determine the remaining sub-stages in the current job cycle.

[0045] The remaining sub-stages are those stages that have not yet been performed in the current job cycle.

[0046] Optionally, based on the current sub-stage and all stages in the current job cycle, the subsequent sub-stages of the current sub-stage in the current job cycle are determined as the remaining sub-stages.

[0047] Step 203: Determine the energy consumption per unit mileage of the current sub-stage and the energy consumption per unit mileage of each remaining sub-stage from the preset work cycle energy consumption model library.

[0048] The preset work cycle energy consumption model library includes multiple sub-stages, the energy consumption per unit mileage for each sub-stage, the mileage for each sub-stage, and the average speed for each sub-stage. The energy consumption per unit mileage for each sub-stage is determined based on the average real-time energy consumption during vehicle travel. The average speed for each sub-stage is pre-set and determined by averaging actual speeds. Since the pure electric sanitation vehicle cleans along fixed routes, the mileage for each sub-stage is a pre-set length. If a new cleaning route is created for the pure electric sanitation vehicle, the preset work cycle energy consumption model library is updated accordingly. The energy consumption per unit mileage is the kilowatt-hours consumed per kilometer traveled. The energy consumption per unit mileage is categorized as follows: Driving segment (empty unit mileage energy consumption), Water filling segment (full load unit mileage energy consumption), Working segment (working scenario unit mileage energy consumption), Unloading segment (half load unit mileage energy consumption), and Return segment (empty unit mileage energy consumption).

[0049] Optionally, the current mileage energy consumption corresponding to all sub-stages is determined from the preset work cycle energy consumption model library, and the unit mileage energy consumption of the current sub-stage and the unit mileage energy consumption of each remaining sub-stage are determined based on the current mileage energy consumption corresponding to all sub-stages.

[0050] Step 204: Calculate the energy consumption requirement for the remaining mileage based on the remaining mileage of the current sub-stage, the energy consumption per unit mileage of the current sub-stage, the preset mileage of each remaining sub-stage, and the energy consumption per unit mileage of each remaining sub-stage.

[0051] For example, if the current sub-stage is the driving segment, then the remaining mileage of the current sub-stage is the real-time positioning distance from the water filling point. The remaining sub-stages are the water filling segment, the operation segment, the unloading segment, and the return segment. The preset mileage of each remaining sub-stage is the preset mileage corresponding to the water filling segment, the operation segment, the unloading segment, and the return segment.

[0052] For example, if the current sub-stage is the water filling stage, then the remaining mileage of the current sub-stage is the real-time positioning distance from the starting point of the operation. The remaining sub-stages are the operation stage, the unloading stage, and the return stage. The preset mileage of each remaining sub-stage is the preset mileage corresponding to the operation stage, the unloading stage, and the return stage.

[0053] For example, if the current sub-stage is a work segment, then the remaining mileage of the current sub-stage is the real-time positioning distance from the work endpoint. The remaining sub-stages are the unloading segment and the return segment, and the preset mileage of each remaining sub-stage is the preset mileage corresponding to the unloading segment and the return segment.

[0054] For example, if the current sub-stage is the unloading section, then the remaining mileage of the current sub-stage is the real-time positioning distance from the vehicle leaving the garbage station. The remaining sub-stages are the return trip sections, and the preset mileage of each remaining sub-stage is the preset mileage corresponding to the return trip section.

[0055] For example, if the current sub-stage is the return segment, then the remaining mileage of the current sub-stage is the real-time positioning distance from the sanitation station, and there is no remaining sub-stage.

[0056] Optionally, the remaining mileage energy consumption of the current sub-stage is determined based on the remaining mileage of the current sub-stage and the energy consumption per unit mileage of the current sub-stage. The remaining mileage energy consumption of the remaining sub-stage is determined based on the preset mileage of each remaining sub-stage and the energy consumption per unit mileage of each remaining sub-stage. The sum of the remaining mileage energy consumption of the current sub-stage and the remaining mileage energy consumption of the remaining sub-stage is taken as the remaining mileage energy consumption requirement.

[0057] In this embodiment, by combining real-time positioning with a preset work process, the current sub-stage of the sanitation vehicle's operation is identified, and the remaining mileage and corresponding energy consumption for each stage are calculated, achieving refined and real-time prediction of the vehicle's overall operational cycle energy consumption. By fully considering the differentiated energy consumption characteristics under different operating conditions and utilizing a constructed operational cycle energy consumption model library to obtain the energy consumption per unit mileage in each sub-stage, the accuracy and practicality of power consumption analysis are improved. This provides drivers with a scientific assessment of remaining operational capacity, effectively avoiding the risk of power outages due to misjudgment, and improving operational safety and efficiency.

[0058] Based on the above embodiments, this application also provides a process for determining the remaining number of operation cycles in the power analysis method for pure electric sanitation vehicles. Figure 3 This is a flowchart illustrating the process of determining the remaining number of operation cycles in a power analysis method for a pure electric sanitation vehicle provided in an embodiment of this application. Figure 3 As shown, in step 104 above, the remaining number of operation cycles for the pure electric sanitation vehicle is determined based on the current remaining battery power, the remaining mileage energy consumption requirement for this operation cycle, and the preset single-cycle energy consumption requirement for this operation cycle. This includes: Step 301: Obtain the current air conditioning status of the pure electric sanitation vehicle.

[0059] The current air conditioning status indicates whether the air conditioning system is on and whether it is in heating or cooling mode.

[0060] Optionally, the current on-state of the air conditioner and whether the air conditioning system is in a heating state or a cooling state are acquired through the air conditioning system.

[0061] Step 302: If the current on-state of the air conditioner is on, the remaining air conditioning energy consumption demand in the current operation cycle process is calculated according to the remaining mileage of the current sub-stage, the preset mileage of each remaining sub-stage, and the preset air conditioning power per unit time.

[0062] Wherein, the air conditioning power per unit time in the air conditioner heating state is different from that in the air conditioner cooling state. When the air conditioner is in the heating state, the core working components are a Positive Temperature Coefficient Heater (PTC heater for short), a blower and a control circuit. The PTC heater has high power and performs resistance heating, and the blower is used to supply air to the cab. The power per unit time of the PTC heater is 4-7 kW, accounting for 95%; the power per unit time of the blower is 0.1-0.3 kW, accounting for 5%; the power per unit time of the control circuit is 0.05 kW, accounting for 0%, and the total power per unit time is 5-7.5 kW. The rated power per unit time in the heating state may be 6 kW. When the air conditioning system is in heating operation, the lower the ambient temperature, the higher the PTC power. Since extreme low temperature rarely occurs in major regions, the heating function will not be turned on at full power in daily use. For the convenience of calculation and analysis, the ambient temperature is set as 0°C<T<10°C, so the air conditioning power per unit time during heating is: P 实际PTC =P 额定PTC ×[0.5+0.1×(10-T) ].

[0063] Wherein, the air conditioning power per unit time in the air conditioner heating state is different from that in the air conditioner cooling state. When the air conditioner is in the cooling state, the core working components are an electric compressor, a condenser fan, a blower and a control circuit. The electric compressor is the main power-consuming component, the condenser fan is coupled with the vehicle speed, and the blower is used to supply air to the cab. The power per unit time of the electric compressor is 1.5-3 kW, accounting for 80%; the power per unit time of the condenser fan is 0.1-0.2 kW, accounting for 5%; the power per unit time of the blower is 0.1-0.3 kW, accounting for 15%; the power per unit time of the control circuit is 0.05 kW, accounting for 0%, and the total power per unit time is 2-3.5 kW. The rated power per unit time in the cooling state may be 2.5 kW. When the air conditioning system is in cooling operation, the higher the ambient temperature, the higher the cooling low temperature requirement, and the higher the compressor power. Since extreme high temperature rarely occurs in major regions, the cooling function will not be turned on at full power in daily use. For the convenience of calculation and analysis, the ambient temperature is set as 25°C<T<30°C, so the air conditioning power per unit time during cooling is: P 实际AC = P 额定AC ×[0.5+0.1×(T-25) ].

[0064] Optionally, if the current air conditioning is on, the remaining driving time is determined based on the remaining mileage of the current sub-stage, the preset mileage of each remaining sub-stage, and the average vehicle speed of different sub-stages. Based on the remaining driving time and the preset air conditioning power per unit time, the remaining air conditioning energy consumption requirement for this operation cycle is calculated.

[0065] For example, if the average speed of the vehicle in the driving section, water filling section, unloading section, and return section is the same (first speed v1), and the average speed of the working section is the second speed v2, then based on the remaining mileage of the driving section, water filling section, unloading section, and return section, and the first speed v1, the first driving time for each of these sections is determined. The second driving time is determined based on the remaining mileage of the working section and the second speed v2. The total driving time is determined based on the first and second driving times. Based on the total driving time and the air conditioning power per unit time, the remaining air conditioning energy consumption requirement for this work cycle is calculated. When the air conditioning is in heating mode, the heating power calculation formula P is used based on the current temperature. 实际PTC = P 额定PTC The power of the air conditioner per unit time is determined as P by multiplying [0.5 + 0.1 × (10 - T)]. 实际PTC， The remaining air conditioning energy consumption demand is E 剩余PTC =P 实际PTC ×[(L 1剩余 +L 2剩余 +L 4剩余 +L 5剩余 When the air conditioner is in cooling mode, the cooling power is calculated using the formula P based on the current temperature. 实际AC = P 额定AC ×[0.5+0.1×(T-25)], determine the air conditioner power per unit time as P. 实际AC， The remaining air conditioning energy consumption demand is E 剩余AC =P 实际AC ×[(L 1剩余 +L 2剩余 +L 4剩余 +L 5剩余 ) / v1+L3 / v1).

[0066] Step 303: Determine the remaining number of operation cycles for the pure electric sanitation vehicle based on the current remaining battery power, remaining mileage energy consumption requirements, remaining air conditioning energy consumption requirements, and the preset single-cycle energy consumption requirements for this operation cycle.

[0067] Optionally, the current energy consumption E is determined based on the current remaining power. SOC剩余 .

[0068] Optionally, based on the current energy consumption ESOC剩余 Remaining range energy consumption demand E 当前循环剩余 Remaining air conditioning energy consumption demand E 剩余空调 Preset safety margin energy consumption E SOC20% And the preset single-cycle energy consumption requirement E for this operation cycle. 单 Determine the remaining number of operation cycles N for the pure electric sanitation vehicle = (E SOC剩余 -E 当前循环剩余 -E 剩余空调 - E SOC20% ) / (E 单 ).

[0069] In this embodiment, by acquiring the air conditioning on / off status in real time and combining it with the remaining mileage of the current and subsequent work sub-stages, the energy consumption demand of the air conditioning in the work cycle is dynamically calculated, achieving a more accurate modeling of the vehicle's overall energy consumption. The continuous power consumption impact of the air conditioning system at different work stages is fully considered, especially in summer cooling or winter heating conditions where energy consumption increases, thus avoiding misjudgments of power consumption due to neglecting the air conditioning load. By deducting the energy consumption from actual driving and air conditioning from the remaining power, and then combining it with the baseline energy consumption of the complete work cycle to calculate the remaining number of executions, the accuracy and practicality of power analysis are improved. This helps drivers make scientific decisions about whether to continue working or charge in time, improving the safety and operational efficiency of sanitation vehicle operations.

[0070] Based on the above embodiments, this application also provides a process for determining the remaining number of operation cycles in another method for analyzing the power consumption of a pure electric sanitation vehicle. Figure 4 A flowchart illustrating the determination of the remaining number of operation cycles in another method for analyzing the power consumption of a pure electric sanitation vehicle provided in this application embodiment is shown below. Figure 4 As shown, in step 303 above, the remaining number of operation cycles for the pure electric sanitation vehicle is determined based on the current remaining battery power, the remaining mileage energy consumption requirement for this operation cycle, and the preset single-cycle energy consumption requirement for this operation cycle. This includes: Step 401: Determine the current battery capacity influence coefficient of the pure electric sanitation vehicle based on the current ambient temperature parameters.

[0071] The current ambient temperature parameter refers to the real-time temperature of the air surrounding the pure electric sanitation vehicle, which can be collected by the vehicle's onboard temperature sensor, and is expressed in degrees Celsius. The current battery capacity influence coefficient is the ratio of the actual usable capacity of the power battery to its nominal capacity under the current ambient temperature parameter, and its value ranges from 0.7 to 1.0.

[0072] Optionally, based on the current ambient temperature parameters, a preset capacity influence coefficient calculation formula is used to determine the current battery capacity influence coefficient of the pure electric sanitation vehicle. The preset capacity influence coefficient calculation formula includes the following: when the current ambient temperature parameter is greater than or equal to 25 degrees Celsius, the current battery capacity influence coefficient k=1; when the current ambient temperature parameter is less than 25 degrees Celsius but greater than 0 degrees Celsius, the current battery capacity influence coefficient k=1-0.005×(25-T); when the current ambient temperature parameter is less than or equal to 0 degrees Celsius, the current battery capacity influence coefficient k=0.70-0.005×(0-T). For example, when T=25℃, k=1.00 (i.e., battery capacity is 100%); when T=0℃, k=0.875 (i.e., battery capacity is 87.5%); when T=-20℃, k=0.70 (i.e., battery capacity is 70%).

[0073] Step 402: Determine the remaining number of operation cycles for the pure electric sanitation vehicle based on the current remaining battery power, remaining mileage energy consumption requirements, current battery capacity influence coefficient, and the preset single-cycle energy consumption requirements for this operation cycle.

[0074] Optionally, the current energy consumption E can be determined based on the current remaining power. SOC剩余 .

[0075] Optionally, based on the current energy consumption E SOC剩余 Remaining range energy consumption demand E 当前循环剩余 Remaining air conditioning energy consumption demand E 剩余空调 Preset safety margin energy consumption E SOC20% The current battery capacity influence coefficient k and the preset single-cycle energy consumption requirement E for this operation cycle. 单 Determine the remaining number of operation cycles N for the pure electric sanitation vehicle = (E SOC剩余 -E 当前循环剩余 -E 剩余空调 - E SOC20% )×k / (E 单 ).

[0076] In this embodiment, by introducing the influence coefficient of ambient temperature on battery capacity, the actual usable power of the pure electric sanitation vehicle at different temperatures is dynamically corrected, solving the problem of inaccurate range prediction caused by battery capacity decay in low-temperature environments. Furthermore, by combining the current remaining power, remaining range energy consumption requirements, and energy consumption per work cycle, the remaining number of work cycles is accurately calculated by comprehensively considering temperature factors, thereby improving the accuracy and reliability of power analysis, avoiding the risk of power outages due to misjudgment, and improving vehicle operating efficiency and operational safety.

[0077] Based on the above embodiments, this application also provides a process for determining the single-trip energy consumption requirement in the power analysis method of a pure electric sanitation vehicle. Figure 5A flowchart illustrating the determination of single-trip energy consumption demand in another method for analyzing the power consumption of a pure electric sanitation vehicle provided in this application embodiment is shown below. Figure 5 As shown, before the current work cycle of the pure electric sanitation vehicle, the method also includes: Step 501: Obtain the job configuration parameters for this job cycle and the ambient temperature before the job.

[0078] The operational configuration parameters include: operational route, water refill requirements, air conditioning activation requirements, and operational mode. The operational route refers to the mileage of the driving section, water refill section, operation section, unloading section, and return trip during this operational cycle, along with the locations of corresponding sanitation stations, water refill points, operation start points, operation end points, and garbage stations. Water refill requirements indicate whether the electric sanitation vehicle currently has water, is empty, or has insufficient water. Air conditioning activation requirements indicate whether the air conditioning system is on or off; if on, this includes whether cooling or heating is activated. The operational mode specifies whether the operation segment is in energy-saving mode, standard mode, or intensive washing mode. The ambient temperature before operation is the current outside temperature of the electric sanitation vehicle.

[0079] Optionally, the driver's operation selection or route addition operation is retrieved to obtain the operation route. If it is an operation selection operation, an operation route is determined from the pre-entered operation routes. If it is a route addition operation, a new route is determined as the operation route based on the location of the sanitation station, water supply point, operation start point, operation end point, and garbage station entered by the driver.

[0080] Optionally, the option to check if the driver's vehicle currently has water is available. If it does, there is no need to go to a water refill point. If there is no water or the water level is low, the driver must go to a water refill point to add water.

[0081] Optionally, the system can obtain information on whether the driver turned on the air conditioning for this operation, and determine whether the air conditioning system is turned on and whether it is in heating or cooling mode.

[0082] Optionally, the driver's selected operating mode can be obtained to determine whether the current operating mode is energy-saving mode, standard mode or strong washing mode, thereby determining the energy consumption per unit mileage of the operating section.

[0083] Optionally, the ambient temperature before operation of the pure electric sanitation vehicle can be determined based on the temperature sensor on the pure electric sanitation vehicle.

[0084] Step 502: Calculate the single energy consumption requirement for this operation cycle based on the operation route, water supply requirements, air conditioning turn-on requirements, operation mode, and ambient temperature before operation.

[0085] Optionally, multiple candidate sub-stages and their preset mileages are determined based on the work route. Whether water needs to be added at a water point is determined based on water replenishment requirements. From the candidate sub-stages, a pre-work sub-stage and its preset mileage are selected. Using a preset work cycle energy consumption model library and work mode, the unit mileage energy consumption of each pre-work sub-stage is determined. Based on the preset mileage and unit mileage energy consumption of each pre-work sub-stage, the pre-work mileage energy consumption is determined. Based on the pre-work sub-stage, its preset mileage, and the preset driving speed, the single work time is determined. The unit time air conditioning power is determined based on the pre-work ambient temperature. Based on the single work time and unit time air conditioning power, the pre-work air conditioning energy consumption is determined. Based on the pre-work mileage energy consumption and pre-work air conditioning energy consumption, the single-cycle energy consumption requirement for this work cycle is determined.

[0086] In this embodiment, by proactively acquiring key configuration parameters such as the work route, water requirements, air conditioning usage, work mode, and ambient temperature before operation, and comprehensively considering actual working conditions and environmental impacts, the energy consumption requirement for each work cycle is accurately calculated in advance. This achieves a shift from experience-based judgment to intelligent, data-driven decision-making. It effectively predicts overall vehicle energy consumption, avoids work interruptions due to insufficient battery power, improves operational reliability, and, by incorporating the impact of ambient temperature on battery capacity, enhances the accuracy of energy consumption prediction. This helps drivers scientifically plan work tasks, reduces unnecessary charging waits, and improves vehicle utilization and sanitation work efficiency.

[0087] Based on the above embodiments, this application also provides a process for determining the number of operations that can be performed before operation in a power analysis method for pure electric sanitation vehicles. Figure 6 A flowchart illustrating the determination of the number of operations that can be performed before operation in another method for analyzing the power consumption of a pure electric sanitation vehicle provided in this application embodiment is shown below. Figure 6 As shown, after steps 501-502 above, the method further includes: Step 601: Obtain the battery capacity before the current job cycle.

[0088] The battery capacity before operation refers to the actual usable power of the power battery before the pure electric sanitation vehicle begins its current operation cycle, usually expressed in kilowatt-hours.

[0089] Optionally, the battery capacity before operation can be calculated using the State of Charge (SOC) percentage. For example, if the total nominal battery capacity is 100 kWh and the current SOC is 75%, then the battery capacity before operation is 75 kWh. The SOC can be read in real time through the vehicle controller or battery management system.

[0090] Step 602: Calculate the number of operations that can be performed before the operation, based on the battery capacity, ambient temperature, and energy consumption requirements before the operation.

[0091] The "pre-operation count" refers to the maximum number of complete operation cycles that a pure electric sanitation vehicle can complete under the current battery capacity and ambient temperature. If the pre-operation count is greater than or equal to 1, it means the pure electric sanitation vehicle can complete the task without recharging; if the pre-operation count is less than 1 and less than or equal to 0.9, it means the pure electric sanitation vehicle can complete the task while conserving electricity without recharging; if the pre-operation count is less than 0.9, it means the pure electric sanitation vehicle cannot complete the task and needs recharging.

[0092] Optionally, the battery capacity influence coefficient before operation is determined using a preset capacity influence coefficient calculation formula based on the ambient temperature before operation. The battery capacity before operation and the preset safety margin energy consumption are then corrected based on the battery capacity influence coefficient before operation. The number of operations that can be performed before operation is obtained based on the result of (corrected battery capacity before operation - corrected preset safety margin energy consumption) / single energy consumption requirement.

[0093] In this embodiment, by obtaining the actual battery capacity before operation and considering the impact of the current ambient temperature on the battery's usable capacity, the effective usable battery power is corrected. Then, combined with the energy consumption prediction for the current operation cycle, the number of operation cycles the vehicle can complete under the current conditions is calculated. This improves the accuracy and foresight of battery power assessment, helping drivers and dispatchers make reasonable decisions before departure, effectively avoiding operation interruptions or forced return trips due to insufficient battery power, and improving the planning, safety, and operational efficiency of sanitation operations.

[0094] Based on the above embodiments, this application also provides a process for determining pre-operation battery level warning information in a battery level analysis method for pure electric sanitation vehicles. After steps 601-602 above, the method further includes: Based on the number of times the task can be completed before the task begins, a pre-task battery level reminder will be sent.

[0095] The pre-operation battery level indicator is used to indicate whether the current operation can be completed and to provide a warning to the driver.

[0096] For example, if the number of times the operation can be performed before the operation is greater than or equal to 1, the power warning message before the operation will be "Sufficient power, please operate with confidence" and a green indicator light will be displayed; if the number of times the operation can be performed before the operation is less than 1 and less than or equal to 0.9, the power warning message before the operation will be "Battery at critical level, please operate with energy saving" and a yellow indicator light will be displayed; if the number of times the operation can be performed before the operation is less than 0.9, the power warning message before the operation will be "Low power, please charge as soon as possible" and a red indicator light will be displayed.

[0097] In this embodiment of the application, the battery level reminder information before the operation is automatically generated based on the number of operations that can be performed before the operation. This can provide drivers with an intuitive basis for decision-making, alleviate their anxiety about whether the battery level is sufficient before setting off, and not only inform drivers in advance whether the operation can be completed smoothly, but also guide reasonable charging behavior through graded prompts, avoid blind charging or the risk of power outage in the middle of the operation, and improve the operational efficiency and energy utilization rationality of the sanitation vehicle fleet.

[0098] Based on the above embodiments, this application also provides a process for generating return trip battery level reminder information in the battery level analysis method for pure electric sanitation vehicles. Figure 7 A flowchart illustrating the process of determining and generating return trip battery level prompt information in another battery level analysis method for a pure electric sanitation vehicle provided in this application embodiment is shown below. Figure 7 As shown, after steps 601-602 above, the method further includes: Step 701: Determine the real-time return distance of the pure electric sanitation vehicle based on real-time positioning.

[0099] The real-time return distance is the distance from the real-time location to the sanitation station, used to indicate the distance that a pure electric sanitation vehicle needs to travel from its real-time location back to the sanitation station.

[0100] Optionally, the real-time return distance of the pure electric sanitation vehicle can be determined based on real-time location and the location information of the sanitation station.

[0101] Step 702: Generate return trip power reminder information based on real-time return distance, preset return unit energy consumption, and real-time remaining power.

[0102] The preset return trip unit energy consumption is the unit energy consumption per kilometer during the journey from real-time positioning back to the sanitation station. The pure electric sanitation vehicle only needs to return to the sanitation station when there are other unforeseen reasons or electrical component malfunctions that cause abnormally high power consumption. Since pure electric sanitation vehicles are prone to malfunctions in the work section, the preset return trip unit energy consumption can be the unit energy consumption of the pure electric sanitation vehicle under half-load conditions.

[0103] Optionally, the return trip energy consumption is determined based on the real-time return distance and the preset return unit energy consumption. The energy consumption difference is obtained by subtracting the preset safety margin energy consumption and the return trip energy consumption from the real-time energy consumption corresponding to the remaining battery power. If the energy consumption difference is less than or equal to 0, it indicates that the pure electric sanitation vehicle cannot return to the sanitation station, and a return trip battery warning message is generated, including an automatic voice alarm and a flashing red indicator light, to prompt the driver to immediately return and recharge. If the energy consumption difference is less than or greater than 0, no return trip battery warning message is generated.

[0104] In this embodiment, the current location of the sanitation vehicle is obtained through real-time positioning, and its real-time return distance to the sanitation station or water supply point is dynamically calculated. Combined with preset return unit energy consumption and current remaining battery power, it is determined whether the safe return requirement is met, and a return battery power reminder is generated accordingly. This not only continuously assesses whether the vehicle can complete the current task during operation, but also provides timely warnings in case of emergencies, preventing vehicle breakdowns due to insufficient battery power. Audible and visual alarms or voice prompts remind the driver to return and recharge in time, improving operational safety and reliability, and effectively alleviating the driver's battery anxiety.

[0105] Based on the same inventive concept, this application also provides a power analysis device for a pure electric sanitation vehicle corresponding to the power analysis method for a pure electric sanitation vehicle. Since the principle of the device in this application is similar to the power analysis method for a pure electric sanitation vehicle described above, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0106] Figure 8 This is a schematic diagram of the structure of a power analysis device for a pure electric sanitation vehicle provided in an embodiment of this application, as shown below. Figure 8 As shown, the device includes: an acquisition module 801, an identification module 802, a first determination module 803, and a second determination module 804; wherein: The acquisition module 801 is used to acquire the real-time speed, real-time location, and start / stop signals of the motor on the pure electric sanitation vehicle during the current operation cycle of the pure electric sanitation vehicle. The identification module 802 is used to identify the working status in real time based on the real-time vehicle speed, real-time positioning and start / stop signals of the superstructure motor, so as to obtain the current sub-stage of the pure electric sanitation vehicle in this working cycle. The first determining module 803 is used to determine the remaining energy consumption requirements of the current operation cycle based on the current sub-stage and real-time positioning. The second determining module 804 is used to determine the real-time remaining number of operation cycles of the pure electric sanitation vehicle based on the real-time remaining power of the pure electric sanitation vehicle, the remaining energy consumption requirement of the current operation cycle, and the single energy consumption requirement of the current operation cycle.

[0107] In one possible implementation, the first determining module 803 is specifically used to: determine the remaining mileage of the current sub-stage based on real-time positioning; Based on the current sub-stage, determine the remaining sub-stages in this operation cycle; Determine the energy consumption per unit mileage for the current sub-stage and the energy consumption per unit mileage for each remaining sub-stage from the preset work cycle energy consumption model library; Calculate the energy consumption requirement for the remaining mileage based on the remaining mileage of the current sub-stage, the energy consumption per unit mileage of the current sub-stage, the preset mileage of each remaining sub-stage, and the energy consumption per unit mileage of each remaining sub-stage.

[0108] In one possible implementation, the second determining module 804 is specifically used to: obtain the current air conditioning status of the pure electric sanitation vehicle; If the air conditioner is currently on, the remaining air conditioner energy consumption requirement for this operation cycle is calculated based on the remaining mileage of the current sub-stage, the preset mileage of each remaining sub-stage, and the preset air conditioner power per unit time. Based on the current remaining battery power, remaining mileage energy consumption requirements, remaining air conditioning energy consumption requirements, and the preset energy consumption requirements for each operation cycle, the remaining number of operation cycles for the pure electric sanitation vehicle is determined.

[0109] In one possible implementation, the second determining module 804 is specifically used to: determine the current battery capacity influence coefficient of the pure electric sanitation vehicle based on the current ambient temperature parameters. The remaining number of operation cycles for the pure electric sanitation vehicle is determined based on the current remaining battery power, the energy consumption requirement for the remaining range, the influence coefficient of the current battery capacity, and the preset energy consumption requirement for each operation cycle.

[0110] In one possible implementation, the acquisition module 801 is further configured to: acquire the operation configuration parameters for the current operation cycle and the ambient temperature before operation; the operation configuration parameters include: operation route, water supply requirement configuration information, air conditioning activation requirement, and operation mode; Based on the work route, water supply requirements, air conditioning requirements, work mode, and ambient temperature before work, calculate the energy consumption requirement for each work cycle.

[0111] In one possible implementation, the acquisition module 801 is further configured to: acquire the battery capacity before the current job cycle. Calculate the number of operations that can be performed before the operation, based on the battery capacity, ambient temperature, and energy consumption requirements before the operation.

[0112] In one possible implementation, the acquisition module 801 is further configured to: issue a pre-operation battery level reminder based on the number of times the operation can be performed before the operation.

[0113] In one possible implementation, the acquisition module 801 is further configured to: determine the real-time return distance of the pure electric sanitation vehicle based on the real-time location. Based on the real-time return distance, preset return unit energy consumption, and real-time remaining power, a return power reminder message is generated.

[0114] The processing flow of each module in the device and the interaction flow between each module can be referred to the relevant descriptions in the above method embodiments, and will not be detailed here.

[0115] This application also provides a vehicle controller. Figure 9 This is a schematic diagram of the structure of a vehicle controller provided in an embodiment of this application, such as... Figure 9 As shown, the vehicle controller includes a processor 901 and a memory 902, and optionally, a bus 903. The memory 902 stores machine-readable instructions executable by the processor 901. When the vehicle controller 900 is running, the processor 901 and the memory 902 communicate via the bus 903. When the machine-readable instructions are executed by the processor 901, the steps of the power analysis method for the pure electric sanitation vehicle described above are performed.

[0116] This application also provides a vehicle controller. Figure 10 This is a structural schematic diagram of a pure electric sanitation vehicle provided in an embodiment of this application, as shown below. Figure 10 As shown, a pure electric sanitation vehicle includes at least: a vehicle body 1001 and a vehicle controller 900 disposed on the vehicle body 1001. The vehicle controller 900 is used to execute the steps of the power analysis method of any of the above-mentioned pure electric sanitation vehicles.

[0117] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the above-described method for analyzing the power consumption of a pure electric sanitation vehicle.

[0118] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the method embodiments, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some communication interfaces; the indirect coupling or communication connection of devices or modules can be electrical, mechanical, or other forms.

[0119] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes: USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.

[0120] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A method for analyzing the power consumption of a pure electric sanitation vehicle, characterized in that, The method includes: During the current operation cycle of the pure electric sanitation vehicle, the real-time vehicle speed, real-time location, and start / stop signals of the motor on the pure electric sanitation vehicle are acquired. Based on the real-time vehicle speed, the real-time positioning, and the start / stop signal of the superstructure motor, the operation status is identified in real time to obtain the current sub-stage in which the pure electric sanitation vehicle is in the current operation cycle. Based on the current sub-stage and the real-time location, determine the remaining energy consumption requirement for the current operation cycle. The real-time remaining number of operation cycles for the pure electric sanitation vehicle is determined based on the real-time remaining battery power of the pure electric sanitation vehicle, the remaining energy consumption requirement of the current operation cycle, and the energy consumption requirement per operation cycle.

2. The method according to claim 1, characterized in that, The step of determining the remaining mileage energy consumption requirement for the current operation cycle based on the current sub-stage and the real-time positioning includes: Based on the real-time location, determine the remaining mileage of the current sub-stage; Based on the current sub-stage, determine the remaining sub-stages in the current job cycle; The unit mileage energy consumption of the current sub-stage and the unit mileage energy consumption of each remaining sub-stage are determined from the preset work cycle energy consumption model library. The energy consumption requirement for the remaining mileage is calculated based on the remaining mileage of the current sub-stage, the energy consumption per unit mileage of the current sub-stage, the preset mileage of each remaining sub-stage, and the energy consumption per unit mileage of each remaining sub-stage.

3. The method according to claim 2, characterized in that, The step of determining the remaining number of operation cycles for the pure electric sanitation vehicle based on its current remaining battery power, the remaining mileage energy consumption requirement for the current operation cycle, and the preset single-cycle energy consumption requirement for the current operation cycle includes: Obtain the current air conditioning status of the pure electric sanitation vehicle; If the current air conditioner is on, then the remaining air conditioner energy consumption requirement for this operation cycle is calculated based on the remaining mileage of the current sub-stage, the preset mileage of each remaining sub-stage, and the preset air conditioner power per unit time. The remaining number of operation cycles for the pure electric sanitation vehicle is determined based on the current remaining battery power, the remaining mileage energy consumption requirement, the remaining air conditioning energy consumption requirement, and the preset single-cycle energy consumption requirement for the current operation cycle.

4. The method according to claim 1, characterized in that, The step of determining the remaining number of operation cycles for the pure electric sanitation vehicle based on its current remaining battery power, the remaining mileage energy consumption requirement for the current operation cycle, and the preset single-cycle energy consumption requirement for the current operation cycle includes: Based on the current ambient temperature parameters, determine the current battery capacity influence coefficient of the pure electric sanitation vehicle; The remaining number of operation cycles for the pure electric sanitation vehicle is determined based on the current remaining battery power, the remaining mileage energy consumption requirement, the current battery capacity influence coefficient, and the preset single-cycle energy consumption requirement for the current operation cycle.

5. The method according to claim 1, characterized in that, Prior to the current work cycle of the pure electric sanitation vehicle, the method further includes: Obtain the operation configuration parameters for this operation cycle and the ambient temperature before operation; the operation configuration parameters include: operation route, water supply requirement configuration information, air conditioning activation requirement, and operation mode; Based on the work route, the water supply requirement configuration information, the air conditioning activation requirement, the work mode, and the ambient temperature before the work, calculate the energy consumption requirement for each work cycle.

6. The method according to claim 5, characterized in that, The method further includes: Obtain the battery capacity before the current job cycle; The number of operations that can be performed before the operation is calculated based on the battery capacity before the operation, the ambient temperature before the operation, and the energy consumption requirement per operation.

7. The method according to claim 6, characterized in that, The method further includes: Based on the number of times the operation can be performed before the operation, a pre-operation battery level reminder message will be issued.

8. The method according to claim 6, characterized in that, The method further includes: Based on the real-time location, the real-time return distance of the pure electric sanitation vehicle is determined; Based on the real-time return distance, the preset return unit energy consumption, and the real-time remaining power, a return power reminder message is generated.

9. A power analysis device for a pure electric sanitation vehicle, characterized in that, The device includes: The acquisition module is used to acquire the real-time speed, real-time location, and start / stop signals of the motor on the pure electric sanitation vehicle during the current operation cycle of the pure electric sanitation vehicle. The identification module is used to identify the working status in real time based on the real-time vehicle speed, the real-time positioning and the start / stop signal of the superstructure motor, so as to obtain the current sub-stage in which the pure electric sanitation vehicle is in the current working cycle. The first determining module is used to determine the remaining energy consumption requirement of the current operation cycle based on the current sub-stage and the real-time positioning. The second determining module is used to determine the real-time remaining number of operation cycles of the pure electric sanitation vehicle based on the real-time remaining power of the pure electric sanitation vehicle, the remaining energy consumption requirement of the current operation cycle, and the single energy consumption requirement of the current operation cycle.

10. A pure electric sanitation vehicle, characterized in that, The pure electric sanitation vehicle includes at least: a vehicle body and a vehicle controller mounted on the vehicle body, wherein the vehicle controller is used to execute the steps of the power analysis method of any one of the pure electric sanitation vehicles described in claims 1-8.

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