Hybrid power truck energy management and control method and device and commercial vehicle

Abstract

The invention provides a hybrid power truck energy management and control method and device and a commercial vehicle, and belongs to the technical field of commercial vehicle energy management and control. In the vehicle running process, a vehicle control unit obtains commercial vehicle running state information and transmits the commercial vehicle running state information to a hybrid power truck control module; the hybrid power truck control module inputs the operation state information of the commercial vehicle into the hybrid power truck model; the hybrid power truck model calculates the working point of a current engine according to the rotating speed and torque of the engine, and the supercharging parameters of the electronic supercharger are estimated by combining the exhaust temperature and the exhaust gas flow; the torque distribution of the motor and the charging and discharging state of the battery are determined based on the driving resistance of the vehicle and the operation intention of the driver. Motor torque assistance is reasonably distributed, balance optimization of power and energy consumption is achieved, and fuel economy and power performance are improved. The engine power output is improved; and the working efficiency and the reliability of the electronic supercharger are also improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of commercial vehicle energy management and control, and in particular relates to a hybrid power truck energy management method, device and commercial vehicle. Background Art

[0002] Hybrid trucks combine internal combustion engines with electric motors to select the most efficient power source under different driving conditions. When driving at low speeds or starting, hybrid trucks usually use electric motors to drive, and when driving at high speeds, they switch to the internal combustion engine to provide stronger power.

[0003] Hybrid trucks are equipped with a regenerative braking system that converts the energy generated during braking into electrical energy and stores it in the battery to improve energy efficiency. Hybrid trucks are equipped with an intelligent energy management system that automatically adjusts the power source according to driving conditions to improve efficiency and reduce emissions.

[0004] Existing hybrid trucks still have some deficiencies in practical applications, such as the inability to distribute the torque of the motor and engine in real time and accurately according to the vehicle's operating status and the driver's intention, resulting in energy waste or insufficient power.

[0005] In terms of supercharger control, there is a lack of deep information interaction and intelligent control capabilities with other vehicle systems. The fixed working mode cannot adapt to the complex and changeable working conditions of the engine, which affects the engine performance and may increase energy consumption and failure rate. The shifting and clutch control relies on the driver's experience control. The shifting timing is inaccurate, resulting in large impact, fast clutch wear, and it cannot be effectively coordinated and optimized with the vehicle power system, affecting the overall performance and reliability of the vehicle. Summary of the invention

[0006] The present invention provides a hybrid truck energy management and control method, which reasonably distributes motor torque assistance, achieves balanced optimization of power and energy consumption, and improves fuel economy and power performance.

[0007] Methods include: During vehicle operation, the vehicle controller obtains the operating status information of the commercial vehicle and transmits it to the hybrid truck control module; The hybrid truck control module inputs the commercial vehicle operating status information into the hybrid truck model; The hybrid truck model calculates the current engine operating point based on the engine speed and torque, and estimates the boost parameters of the electronic supercharger based on the exhaust temperature and exhaust gas flow; Based on the vehicle's driving resistance and the driver's operating intention, the torque distribution of the motor and the charging and discharging status of the battery are determined.

[0008] It is further noted that in the method, a communication connection is established between the electronic supercharger and the hybrid truck control module and the onboard sensor; The electronic supercharger obtains information about the engine's operating status through sensors in commercial vehicles; The electronic supercharger receives engine torque and engine speed data from the hybrid truck control module.

[0009] It is further necessary to explain that the electronic supercharger uses a PID controller to adjust the working mode according to the acquired data such as the engine working status, exhaust gas temperature and flow rate, compression ratio requirement and NOx emission; The PID controller calculates the control amount based on the deviation between the set target value and the actual measured value to change the operating parameters of the electronic supercharger to adapt to the needs of different engine operating conditions.

[0010] It should be further explained that in the method, the electronic supercharger calculates the virtual motor torque based on the received engine torque and engine speed data, and calculates the virtual motor torque based on the coupling characteristics of the engine and the motor, the energy flow relationship and the operating conditions of the vehicle, and sends it to the hybrid truck control module.

[0011] It should be further explained that after receiving the virtual motor torque, the hybrid truck control module obtains the motor torque, fuel consumption, intake mass flow rate and pressure ratio based on the optimal fuel consumption and emission law; According to the motor torque, fuel consumption, intake mass flow rate and pressure ratio, the fuel consumption, NOx value and battery charge and discharge status control quantity are obtained.

[0012] It should be further explained that, in the method, after determining the torque distribution of the motor and the charge and discharge state of the battery, the method further includes: The upshift and downshift control module receives information about the actual vehicle speed, the shift signal, and the engine speed; According to the preset gear shifting logic, the target gear position is obtained and the upshift and downshift processing is performed.

[0013] It should be further explained that the clutch control module receives the target gear position signal sent by the upshift and downshift control module and reads the engine speed information; According to the target gear and engine speed, the clutch opening is controlled according to the clutch control strategy.

[0014] It should be further explained that the commercial vehicle operating status information includes engine speed, torque, start-stop signal, exhaust temperature, exhaust gas flow and electronic supercharger state machine information.

[0015] According to another embodiment of the present application, there is provided an energy management and control device, the device comprising: a vehicle controller, a hybrid truck control module, a hybrid truck model, and an electronic supercharger; During vehicle operation, the vehicle controller obtains the operating status information of the commercial vehicle and transmits it to the hybrid truck control module; The hybrid truck control module inputs the commercial vehicle operating status information into the hybrid truck model; The hybrid truck model calculates the current engine operating point based on the engine speed and torque, and estimates the boost parameters of the electronic supercharger based on the exhaust temperature and exhaust gas flow; Based on the vehicle's driving resistance and the driver's operating intention, the torque distribution of the motor and the charging and discharging status of the battery are determined.

[0016] According to another embodiment of the present application, a commercial vehicle is provided, including: an energy management and control device.

[0017] It can be seen from the above technical solutions that the present invention has the following advantages: The hybrid truck energy management method provided by the present invention calculates the engine operating point and estimates the electronic supercharger boost parameters based on multiple parameters such as engine speed, torque, exhaust temperature and exhaust gas flow through the hybrid truck model, obtains the real-time engine working condition, and then determines the motor torque distribution and battery charge and discharge state based on the vehicle driving resistance and the driver's operating intention. The motor torque assistance is reasonably distributed to achieve a balanced optimization of power and energy consumption, and improve fuel economy and power performance.

[0018] The present invention establishes a communication connection between the electronic supercharger and the sensor, and uses a PID controller to respond to changes in engine operating conditions according to the working mode, timely improves the boost parameters to meet the intake demand, improves the engine power output, and also improves the working efficiency and reliability of the electronic supercharger.

[0019] The shift control module of the present application obtains the target gear position and performs shift processing according to the preset logic based on the actual vehicle speed, shift signal and engine speed information, so as to realize the shift operation. It also controls the clutch opening in combination with the target gear position and engine speed, so that the clutch can be smoothly engaged and disengaged during the shift process, reducing the shift shock and improving the shift speed and vehicle power performance.

[0020] The energy management method is based on the cooperation of the vehicle controller, hybrid truck control module, electronic supercharger, upshift control module and clutch control module to give full play to the advantages of the hybrid system and improve the overall performance of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings required for use in the description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0022] Figure 1 A flow chart of the energy management method for hybrid trucks; Figure 2 Schematic diagram of the energy management device. DETAILED DESCRIPTION

[0023] The hybrid truck energy management method provided in this application mainly considers the adaptive control of the vehicle driving mode, the engine start-stop control strategy, and the linkage control of electronic supercharging and other systems to achieve dynamic control of the hybrid truck energy, improve the optimization of the hybrid truck energy, and increase energy usage.

[0024] Among them, the vehicle driving mode adaptive control involves the vehicle economic mode and vehicle power mode. The vehicle economic mode is to reduce the frequency and strength of supercharger intervention under low load conditions to improve fuel economy. The vehicle power mode is to increase the frequency and strength of supercharger intervention under high load conditions to increase engine output power.

[0025] The engine start-stop control strategy controls the start and stop of the electronic supercharger, and automatically adjusts the supercharger working state when the engine is started, idle or stopped to reduce fuel consumption and emissions.

[0026] The electronic supercharger is linked to other systems to work together with the engine management system to ensure that the supercharger operates synchronously with the fuel injection, ignition timing and other systems. It also involves waste heat recovery emission control, which can optimize the working state of the electronic supercharger, improve thermal efficiency, and reduce NOx and particulate matter emissions.

[0027] The following will describe in detail the execution steps of the hybrid truck energy management method. For the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are provided to facilitate a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application can also be implemented in other embodiments without these specific details.

[0028] It should be understood that when used in the present specification, the term "includes" indicates the presence of the described features, integral bodies, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integral bodies, steps, operations, elements, components and / or their collections. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0029] The phrases such as "one embodiment" or "some embodiments" described in the present application mean that the specific features, structures or characteristics described in the embodiment are included in one or more embodiments of the present application. Therefore, the phrases such as "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments" etc. that appear in different places in the present application do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways.

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] See also Figure 1 The figure is a flow chart of a hybrid truck energy management method in a specific embodiment, the method comprising: S101: During vehicle operation, the vehicle controller obtains the commercial vehicle operation status information and transmits it to the hybrid truck control module.

[0032] In some embodiments, the vehicle controller monitors and collects various signals related to the vehicle operating status in real time, including engine speed, torque, start-stop signals, exhaust temperature, exhaust gas flow, and electronic supercharger state machine information.

[0033] In this embodiment, the commercial vehicle operating status information can be obtained through the sensor network and data acquisition system inside the vehicle, and transmitted to the hybrid truck control module in a specific data format.

[0034] As an implementation of this embodiment, the vehicle controller and each vehicle sensor establish communication based on the CAN bus to ensure that data can be transmitted accurately and timely. The sensor converts temperature, pressure, and speed into electrical signals, which are processed by the signal conditioning circuit and then sampled by the vehicle controller, and then sent to the hybrid truck control module according to a predetermined communication protocol.

[0035] S102: The hybrid truck control module inputs the commercial vehicle operating status information into the hybrid truck model.

[0036] In this embodiment, after receiving the operating status information of the commercial vehicle, the hybrid truck control module inputs the operating status information of the commercial vehicle into the hybrid truck model for calculation. The hybrid truck model is constructed based on the vehicle's dynamics principle, engine characteristics, motor characteristics, electronic supercharger operating characteristics, and the energy management strategy of the hybrid system. It can comprehensively analyze and simulate the vehicle's operating status based on mathematical algorithms and logical judgments.

[0037] For the hybrid truck model of this embodiment, dynamic modeling method, mathematical modeling based on physical principles and empirical data are used for fitting.

[0038] Exemplarily speaking, this embodiment calculates the current engine operating point based on the engine speed and torque, estimates the boost effect of the electronic supercharger in combination with the exhaust temperature and exhaust gas flow, and determines the torque distribution strategy of the motor and the charge and discharge status of the battery through an optimization algorithm in combination with the vehicle's air resistance, rolling resistance and the driver's start-stop signal, so as to achieve efficient operation of the vehicle and rational use of energy.

[0039] S103: The hybrid truck model calculates the current engine operating point based on the engine speed and torque, and estimates the boost parameters of the electronic supercharger in combination with the exhaust temperature and the exhaust gas flow.

[0040] In one implementation of the present application, the hybrid truck model stores a characteristic curve of the engine, which is obtained through an engine bench test and may involve an engine torque-speed curve, a fuel consumption rate-speed-torque curve, and the like.

[0041] During vehicle operation, the vehicle controller monitors the engine speed and torque in real time. These data are transmitted to the hybrid truck model through the vehicle network.

[0042] The hybrid truck model searches for the corresponding operating point in the pre-stored engine characteristic curve based on the received engine speed and torque data. The operating point contains the estimated values ​​of various performance parameters of the engine in the current state, such as fuel consumption rate, intake air volume demand, exhaust temperature estimation, etc.

[0043] This embodiment also establishes a correlation model between the boost parameters of the electronic supercharger and the exhaust temperature and exhaust gas flow of the engine. The correlation model can be obtained based on theoretical analysis and test data fitting.

[0044] In this embodiment, the vehicle's exhaust temperature sensor can be installed on the engine exhaust manifold or exhaust pipe to measure the exhaust temperature in real time; the exhaust gas flow rate can be indirectly calculated by the exhaust gas flow sensor installed on the exhaust pipe or based on parameters such as the engine intake volume and air-fuel ratio. The hybrid truck model configures the received exhaust temperature and exhaust gas flow data into the association model to calculate the boost ratio of the electronic supercharger and the intake temperature after boosting.

[0045] In this way, by estimating the boost parameters of the electronic supercharger, the working state of the electronic supercharger can be adjusted in advance to match the working conditions of the engine, thereby reasonably improving the boost ratio, increasing the intake volume, thereby increasing the engine's output power and torque, and improving the vehicle's power performance.

[0046] S104: Based on the vehicle's driving resistance and the driver's operating intention, determine the torque distribution of the motor and the charge and discharge state of the battery.

[0047] In some embodiments, the hybrid truck control module configures vehicle control and performance evaluation parameters, which may include actual vehicle speed, shift signal, fuel consumption quality, engine speed, engine torque, motor torque, battery power, supercharger operating point, brake signal, mileage, etc. and sends them to other controllers of the vehicle.

[0048] Exemplarily, in this embodiment, the shift signal can be transmitted to the transmission controller to realize automatic shifting operation; the fuel consumption quality information is sent to the vehicle instrument system to display the real-time fuel consumption to the driver; the supercharger operating point information can be used for the drive control unit of the electronic supercharger to further optimize the boost control; the parameters such as engine speed, torque and motor torque are used in the vehicle's powertrain coordination control module to adjust and optimize the overall power output to ensure that the vehicle can maintain good performance and economy under different working conditions.

[0049] On the basis of the above embodiments, in order to further improve the reliability of the hybrid truck energy management method provided by the above embodiments, the following is a further implementable method of the above method. In one embodiment, the electronic supercharger module dynamically PID adjusts the working mode of the waste heat recovery system and the electronic supercharger according to the engine working state, exhaust gas temperature and flow, compression ratio requirements and NOx emissions, and feeds back to the vehicle controller. The engine torque and engine speed are received from the hybrid truck control module, and the virtual motor torque can be output and fed back to the hybrid truck control module. The motor torque, fuel consumption, intake mass flow and compression ratio, virtual torque and other parameters are calculated based on the optimal fuel consumption and emission TRADE_OFF law, and the fuel consumption and NOx calculated values ​​and the battery charge and discharge state control amount can be output.

[0050] In some specific embodiments, data such as the engine operating status, exhaust gas temperature and flow rate are collected through temperature sensors, pressure sensors, flow rate sensors, etc. installed in the engine exhaust system, intake system and other key parts. The sensors transmit the collected information to the electronic supercharger module for processing.

[0051] Specifically, the electronic supercharger module can use a PID controller to adjust the working mode of the waste heat recovery system and the electronic supercharger based on the acquired data such as the engine operating status, exhaust gas temperature and flow, compression ratio requirements and NOx emissions.

[0052] The PID controller calculates the control amount based on the deviation between the set target boost pressure and the actual measured value to change the coolant flow rate of the heat exchanger in the waste heat recovery, the valve opening, and the speed, boost ratio and other working parameters of the electronic supercharger, thereby optimizing the working mode to meet the needs of different engine operating conditions.

[0053] It should be noted that the electronic supercharger has a PID controller. The PID controller has a proportional coefficient (P), an integral coefficient (I) and a differential coefficient (D). It adjusts the waste heat recovery system and the actuator of the electronic supercharger by continuously calculating the deviation and updating the control amount.

[0054] For example, when the exhaust gas temperature increases and the engine requires a higher boost ratio, the PID controller increases the driving current of the electronic supercharger, increases its speed, and adjusts the heat exchange efficiency of the waste heat recovery system to fully utilize the exhaust gas energy.

[0055] In this embodiment, the electronic supercharger module calculates the virtual motor torque based on the received engine torque and engine speed data. Specifically, it can be constructed based on factors such as the coupling characteristics of the engine and the motor, the energy flow relationship of the power system, and the operating conditions of the vehicle. After the virtual motor torque is calculated, it is sent to the hybrid truck control module.

[0056] In this embodiment, after receiving the virtual motor torque, the hybrid truck control module combines its own other data and control strategies, considers the vehicle's power demand, fuel consumption target, emission restrictions and other factors, and calculates motor torque, fuel consumption, intake mass flow and pressure ratio, virtual torque and other parameters. According to the calculation results, the fuel consumption and NOx calculation values ​​and the battery charge and discharge state control amount are output to achieve optimal control of the entire hybrid system.

[0057] Exemplarily, the hybrid truck control module determines the total power demand of the power system based on the model predictive control algorithm according to the vehicle speed, acceleration, road slope, and the driver's accelerator pedal position, brake pedal position, etc.

[0058] On the premise of meeting the requirements of emission regulations, the optimization algorithm is used to find the best balance between fuel consumption and emissions, and calculate parameters such as motor torque and fuel consumption.

[0059] When the vehicle needs to accelerate and the battery is fully charged, the motor torque output is increased and fuel consumption is reduced to reduce emissions; when the battery is low, fuel consumption is increased, motor torque output is reduced, and the battery charge and discharge state is controlled to maintain a reasonable battery charge level. The calculated fuel consumption and NOx values ​​and the battery charge and discharge state control amount are limited.

[0060] In one embodiment of the present invention, after determining the torque distribution of the motor and the charge and discharge state of the battery, it also involves the control of the up / down gear control module and the control of the clutch control module. A possible embodiment will be given below to illustrate its specific implementation plan in a non-limiting manner. Specifically, In this embodiment, after receiving the actual vehicle speed, the shift signal, and the engine speed, the up-down gear control module controls the vehicle to shift gears and outputs the target gear position to the hybrid power module and the clutch control module.

[0061] The clutch control module then reads the engine speed, controls the clutch opening, and outputs the clutch opening to the hybrid module. After receiving the above-mentioned target gear signal and clutch opening signal, the hybrid module reads the brake signal, actual vehicle speed, shift signal, engine speed, engine torque, battery power and other parameters from the output parameters of the hybrid truck control module, and can control the motor working condition, and output the start-stop signal and motor torque feedback to the hybrid truck control module for self-test.

[0062] Specifically, the up / down gear control module receives information such as the actual vehicle speed, the gear shift signal, and the engine speed, and comprehensively determines whether a gear shift is required and the target gear to be shifted into based on multiple factors such as the vehicle speed, the engine speed, and the current gear.

[0063] For example, when the vehicle speed reaches a certain threshold and the engine speed is in a suitable range, the shift logic may determine that an upshift is required. After determining the target gear, the upshift control module sends a control command to the vehicle's transmission system to enable the vehicle to perform a gear shift operation. The determined target gear signal is also output to the hybrid power module and the clutch control module.

[0064] For the clutch control module, after receiving the target gear signal from the upshift and downshift control module, the engine speed information is read.

[0065] The clutch control module controls the clutch opening according to the target gear and engine speed.

[0066] For example, during the gear shifting process, when the clutch needs to be disengaged, the control module will calculate the appropriate clutch opening change curve based on the engine speed change rate and the target gear information, and gradually reduce the clutch opening to gradually disengage the engine from the transmission system; and after the gear shift is completed, the clutch opening is gradually increased based on the relationship between the engine speed and the vehicle speed corresponding to the new gear, so that the engine and the transmission system are smoothly connected. After completing the clutch opening control, the clutch control module outputs the current clutch opening signal to the hybrid power module so that the hybrid power module can understand the connection status of the transmission system and optimize the power distribution.

[0067] In this embodiment, after receiving the target gear position signal from the upshift and downshift control module and the clutch opening signal from the clutch control module, the hybrid truck control module reads the brake signal, actual vehicle speed, shift signal, engine speed, engine torque, battery power and other information from the output parameters of the hybrid truck control module. The hybrid module controls the motor working condition according to its own power management strategy.

[0068] For example, if the vehicle is accelerating and the battery is fully charged, the power management strategy will instruct the motor to provide additional torque to assist the engine in driving the vehicle; if the vehicle is braking and the battery allows charging, the motor will switch to power generation mode for energy recovery. While controlling the motor working conditions, the hybrid truck control module feeds back the motor start and stop signals and motor torque information to the hybrid truck control module so that the hybrid truck control module can monitor and evaluate the performance of the entire hybrid power, whether the power distribution is reasonable, whether the motor torque is within a reasonable range, and whether the motor start and stop conform to the control logic.

[0069] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0070] The following is an embodiment of the energy management device provided in the embodiments of the present disclosure. The device and the hybrid truck energy management method of the above-mentioned embodiments belong to the same inventive concept. For details not fully described in the embodiment of the energy management device, please refer to the embodiment of the above-mentioned hybrid truck energy management method.

[0071] like Figure 2 As shown, the device includes: a vehicle controller, a hybrid truck control module, a hybrid truck model and an electronic supercharger.

[0072] The device includes: a vehicle controller, a hybrid truck control module, a hybrid truck model and an electronic supercharger; During vehicle operation, the vehicle controller obtains the commercial vehicle operating status information and transmits it to the hybrid truck control module; the hybrid truck control module inputs the commercial vehicle operating status information into the hybrid truck model; the hybrid truck model calculates the current engine operating point based on the engine speed and torque, and estimates the boost parameters of the electronic supercharger based on the exhaust temperature and exhaust gas flow; based on the vehicle's driving resistance and the driver's operating intention, the torque distribution of the motor and the charge and discharge status of the battery are determined.

[0073] In combination with the above-mentioned energy management and control device, the present embodiment also involves a further implementation method, which can perform closed-loop pressure control of the boost pressure inside the device. Based on real-time monitoring of the intake and exhaust pressure data of the engine and the waste heat recovery system, a PID controller is used to dynamically adjust the supercharger output to maintain the optimal intake pressure, thereby ensuring the stability of the engine performance and a high waste heat recovery system exhaust gas utilization rate, thereby improving the overall thermal efficiency.

[0074] The speed of the supercharger is also dynamically adjusted through the vehicle controller according to the engine load and efficiency point and the energy recovery efficiency point of the waste heat recovery system, ensuring that the engine can obtain appropriate boosting effect under different operating conditions and that the waste heat recovery system operates in a stable and efficient area.

[0075] This embodiment can also set a boost pressure upper limit value, and automatically reduce the working intensity of the supercharger when the pressure is too high to prevent damage. The supercharger and engine temperature can also be monitored to prevent damage caused by overheating.

[0076] In order to meet the energy management needs of hybrid trucks, the driving mode of the entire vehicle is also adaptively controlled.

[0077] The vehicle economy mode can be set to reduce the frequency and strength of supercharger intervention under low load conditions to improve fuel economy. The vehicle power mode can increase the frequency and strength of supercharger intervention under high load conditions to increase engine output power. The engine start-stop control strategy controls the start and stop of the supercharger and automatically adjusts the working state of the supercharger when the engine is started, idle or stopped to reduce fuel consumption and emissions.

[0078] As needed, the electronic supercharger is linked with other systems, such as the engine management system, to ensure that the supercharger operates synchronously with the fuel injection, ignition timing and other systems. In conjunction with the waste heat recovery emission control system, the supercharger operating state is optimized, the thermal efficiency is improved, and NOx and particulate matter emissions are reduced.

[0079] Vehicle energy recovery mechanism: During braking or deceleration, part of the kinetic energy is recovered for supercharger drive or other electrical equipment, improving the overall energy efficiency of the vehicle. During acceleration or stable high-speed stages, the waste heat recovery system is linked to stably recover waste heat to charge the 48VP1 motor and electronic supercharger integrated unit.

[0080] The present application also provides a commercial vehicle, including an energy management device. That is to say, the commercial vehicle includes a vehicle controller, a hybrid truck control module, a hybrid truck model and an electronic supercharger. The vehicle controller, hybrid truck control module, electronic supercharger, upshift control module, clutch control module and other components and systems are tightly integrated to form a hybrid truck energy management device through information sharing and collaborative control. The advantages of the hybrid power system are brought into play to improve the power and economy of the vehicle. Many deficiencies in the prior art in terms of energy management and component control coordination are solved.

[0081] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A hybrid truck energy management method, characterized in that the method include: During vehicle operation, the vehicle controller obtains the operating status information of the commercial vehicle and transmits it to the hybrid truck control module; The hybrid truck control module inputs the commercial vehicle operating status information into the hybrid truck model; The hybrid truck model calculates the current engine operating point based on the engine speed and torque, and estimates the boost parameters of the electronic supercharger based on the exhaust temperature and exhaust gas flow; Based on the vehicle's driving resistance and the driver's operating intention, the torque distribution of the motor and the charging and discharging status of the battery are determined.

2. The hybrid truck energy management method according to claim 1, characterized in that: In the method, a communication connection is established between the electronic supercharger and a hybrid truck control module and onboard sensors; The electronic supercharger obtains information about the engine's operating status through sensors in commercial vehicles; The electronic supercharger receives engine torque and engine speed data from the hybrid truck control module.

3. The hybrid truck energy management method according to claim 2, characterized in that: The electronic supercharger uses a PID controller to adjust the working mode according to the acquired engine working status, exhaust gas temperature and flow, compression ratio requirements and NOx emissions; The PID controller calculates the control amount based on the deviation between the set target value and the actual measured value to change the operating parameters of the electronic supercharger to adapt to the needs of different engine operating conditions.

4. The hybrid truck energy management method according to claim 3, characterized in that: In the method, the electronic supercharger calculates the virtual motor torque based on the received engine torque and engine speed data, and calculates the virtual motor torque based on the coupling characteristics of the engine and the motor, the energy flow relationship and the operating conditions of the vehicle, and sends it to the hybrid truck control module.

5. The hybrid truck energy management method according to claim 4, characterized in that: After receiving the virtual motor torque, the hybrid truck control module obtains the motor torque, fuel consumption, intake mass flow rate and pressure ratio based on the optimal fuel consumption and emission law; According to the motor torque, fuel consumption, intake mass flow rate and pressure ratio, the fuel consumption, NOx value and battery charge and discharge status control quantity are obtained.

6. The hybrid truck energy management method according to claim 1 or 2, characterized in that: In the method, after determining the torque distribution of the motor and the charge and discharge state of the battery, the method further includes: The upshift and downshift control module receives information about the actual vehicle speed, the shift signal, and the engine speed; According to the preset gear shifting logic, the target gear position is obtained and the upshift and downshift processing is performed.

7. The hybrid truck energy management method according to claim 6, characterized in that: The clutch control module receives the target gear position signal sent by the upshift and downshift control module and reads the engine speed information; According to the target gear and engine speed, the clutch opening is controlled according to the clutch control strategy.

8. The hybrid truck energy management method according to claim 1, characterized in that: The operating status information of commercial vehicles includes engine speed, torque, start / stop signal, exhaust temperature, exhaust gas flow, and electronic supercharger status machine information.

9. An energy management and control device, characterized in that: The device is used to implement the hybrid truck energy management method according to any one of claims 1 to 8; The device includes: a vehicle controller, a hybrid truck control module, a hybrid truck model and an electronic supercharger; During vehicle operation, the vehicle controller obtains the operating status information of the commercial vehicle and transmits it to the hybrid truck control module; The hybrid truck control module inputs the commercial vehicle operating status information into the hybrid truck model; The hybrid truck model calculates the current engine operating point based on the engine speed and torque, and estimates the boost parameters of the electronic supercharger based on the exhaust temperature and exhaust gas flow; Based on the vehicle's driving resistance and the driver's operating intention, the torque distribution of the motor and the charging and discharging status of the battery are determined.

10. A commercial vehicle, characterized in that: include: The energy management device as claimed in claim 9.

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