Motor thermal management method and device for pure electric commercial vehicle and medium

Abstract

The invention discloses a motor heat management method and device for a pure electric commercial vehicle and a medium, and aims to solve the technical problem that the power performance and endurance mileage of the whole vehicle are affected due to the fact that motor heat management in the existing energy conversion process lacks relevance to actual operation conditions. The method comprises the following steps: collecting the whole vehicle information of the pure electric commercial vehicle, and determining a plurality of test working conditions of the pure electric commercial vehicle and working condition types corresponding to the plurality of test working conditions; based on a plurality of pre-constructed calculation models, calculating model calculation data required by corresponding working conditions of the pure electric commercial vehicle according to the whole vehicle information of the pure electric commercial vehicle; for each test working condition, working condition testing is carried out on the test working conditions, and test data corresponding to the test working conditions are collected; and comparing the test data of the test working condition with the corresponding model calculation data, and adjusting the motor control signal and the motor thermal management control signal of the pure electric commercial vehicle according to the comparison result to realize the motor thermal management of the pure electric commercial vehicle.

Description

Technical Field

[0001] The present application relates to the technical field of energy flow management, and in particular to a motor thermal management method, device and medium for a pure electric commercial vehicle. Background Art

[0002] At present, the power source of new energy commercial vehicles is the electric drive assembly system, whose main function is to convert the electrical energy provided by the power battery into mechanical energy to drive the entire vehicle. However, when the drive motor and motor controller are working, the losses such as winding loss and mechanical friction are all dissipated in the form of heat, which causes the temperature of the drive motor and motor controller system to rise. The thermal management of the motor during the energy conversion process directly affects the power performance and cruising range of the vehicle. In addition, facing the actual vehicle working scenario, the existing electric drive assembly efficiency and thermal management tests lack relevance to the actual operating conditions of the vehicle. Summary of the invention

[0003] The embodiments of the present application provide a motor thermal management method, device and medium for a pure electric commercial vehicle, which are used to solve the technical problem that the motor thermal management in the existing energy conversion process lacks relevance to the actual operating conditions, affecting the power performance and cruising range of the entire vehicle.

[0004] On the one hand, an embodiment of the present application provides a motor thermal management method for a pure electric commercial vehicle, comprising:

[0005] Collecting vehicle information of a pure electric commercial vehicle, and determining a plurality of test conditions of the pure electric commercial vehicle and the operating condition types corresponding to the plurality of test conditions; the operating condition types at least include: a coasting condition type, a uniform speed condition type, and a vehicle driving condition-commercial vehicle standard condition type;

[0006] Based on several pre-built calculation models and according to the vehicle information of the pure electric commercial vehicle, the model calculation data required for the corresponding working condition of the pure electric commercial vehicle is calculated; the calculation model at least includes: a driver model, a motor controller model, a motor model, a vehicle model, a motor thermal management system model and a motor thermal management control system model;

[0007] For each test condition, a condition test is performed on the test condition, and test data corresponding to the test condition is collected; the test data at least includes: actual gliding data, actual motor power, actual motor speed, actual motor torque and actual motor temperature;

[0008] The test data of the test condition is compared with the corresponding model calculation data, and according to the comparison result, the motor control signal and the motor thermal management control signal of the pure electric commercial vehicle are adjusted to achieve the motor thermal management of the pure electric commercial vehicle.

[0009] In one implementation of the present application, the calculation of the model calculation data required for the corresponding working condition of the pure electric commercial vehicle based on the pre-built several calculation models and according to the vehicle information of the pure electric commercial vehicle specifically includes:

[0010] Determine the vehicle control signal corresponding to the pure electric commercial vehicle through the driver model, and determine the motor torque corresponding to the pure electric commercial vehicle through the VCU model according to the real-time motor speed of the motor model and the vehicle control signal;

[0011] Determine the corresponding current and controller temperature through the motor controller model, determine the corresponding motor temperature through the motor model, and determine the fan speed control signal through the motor thermal management control model;

[0012] The motor thermal management system model is used to calculate the controller temperature and the motor temperature after cooling according to the controller temperature, the motor temperature and the fan speed control signal.

[0013] In one implementation of the present application, determining the vehicle control signal corresponding to the pure electric commercial vehicle through the driver model, and determining the motor torque corresponding to the pure electric commercial vehicle through the VCU model specifically includes:

[0014] Determine a preset initial vehicle speed corresponding to the vehicle model, and input the preset initial vehicle speed into the driver model, so that the driver model outputs a start-stop control signal, a brake control signal, and an acceleration control signal corresponding to the pure electric commercial vehicle;

[0015] Determine the real-time speed of the motor corresponding to the motor model, and input the real-time speed of the motor, the start-stop control signal, the brake control signal and the acceleration control signal into the VCU model, so that the VCU model calculates the real-time speed of the pure electric commercial vehicle according to the real-time speed of the motor;

[0016] According to the start-stop control signal, the brake control signal and the acceleration control signal, the total driving force corresponding to the pure electric commercial vehicle is calculated, and the corresponding motor torque is calculated to output the motor torque to the motor controller module.

[0017] In one implementation of the present application, determining the corresponding current and controller temperature through the motor controller model and determining the corresponding motor temperature through the motor model specifically include:

[0018] Determine the battery voltage, and input the motor torque output by the VCU model, the real-time motor speed of the motor model, and the battery voltage into the motor controller model so that the motor controller model calculates the corresponding current;

[0019] Determine the motor controller material and the motor controller mass in the motor controller parameters, and calculate the controller temperature according to the motor controller material, the motor controller mass, the current and the battery voltage;

[0020] The motor material and the motor mass in the motor parameters are determined, and the motor temperature is calculated according to the motor material, the motor mass, the current and the battery voltage.

[0021] In one implementation of the present application, determining the fan speed control signal by using the motor thermal management control model specifically includes:

[0022] Inputting the controller temperature and the motor temperature into the motor thermal management control model, and determining the fan speed control strategy at the corresponding temperature according to the controller temperature and the motor temperature;

[0023] The fan speed control strategy is input into the motor thermal management control model, so that the motor thermal management control model outputs a fan speed control signal during cooling according to the controller temperature, the motor temperature and the fan speed control strategy.

[0024] In one implementation of the present application, for each test condition, performing a condition test on the test condition and collecting test data corresponding to the test condition specifically include:

[0025] For a test condition of a coasting condition type, obtaining an actual coasting time of the pure electric commercial vehicle during the coasting process, and an actual coasting distance corresponding to the actual coasting time;

[0026] For the test conditions of the uniform speed working condition type and the automobile driving working condition-commercial vehicle standard working condition type, the actual motor power, actual motor speed, actual motor torque and actual motor temperature of the pure electric commercial vehicle are obtained.

[0027] In one implementation of the present application, the test data of the test condition is compared with the corresponding model calculation data, and according to the comparison result, the motor control signal and the motor thermal management control signal of the pure electric commercial vehicle are adjusted to achieve the motor thermal management of the pure electric commercial vehicle, which specifically includes:

[0028] Compare the actual taxiing time and actual taxiing distance corresponding to the taxiing condition with the estimated taxiing time and estimated taxiing distance in the model calculation data, and adjust the model drag coefficient and drag curve according to the taxiing condition comparison results;

[0029] Compare the actual motor power, actual motor speed, actual motor torque and actual motor temperature corresponding to the uniform speed condition and the vehicle driving condition-commercial vehicle standard condition with the estimated motor power, estimated motor speed, estimated motor torque and estimated motor temperature in the model calculation data;

[0030] According to the comparison results of uniform speed working conditions, the motor efficiency and the temperature of the motor thermal management system are adjusted, and according to the comparison results of vehicle driving conditions and commercial vehicle standard conditions, the motor control signal and the motor thermal management control signal are adjusted.

[0031] In one implementation of the present application, the collecting of vehicle information of a pure electric commercial vehicle specifically includes:

[0032] Obtain vehicle parameters corresponding to the pure electric commercial vehicle; the vehicle parameters include at least: unloaded mass, fully loaded mass, rolling friction coefficient, wind resistance coefficient, frontal area, number of front tires, number of rear tires, wheel rotational inertia, and wheel diameter;

[0033] Determine the motor parameters corresponding to the pure electric commercial vehicle; the motor parameters include at least: motor type, motor winding type, motor rotor type, pole pair number, phase resistance, maximum phase current, motor winding material and quality, motor rotor and sleeve material and quality, and motor cooling plate material and quality;

[0034] Collect motor controller parameters and motor cooling system parameters corresponding to the pure electric commercial vehicle; the motor controller parameters include at least: current-voltage and controller power loss curves, controller material and quality; the motor cooling system parameters include at least: cooling water pump, water pump motor parameters, radiator parameters, fan parameters, expansion water tank parameters, and motor cooling system control strategy.

[0035] On the other hand, an embodiment of the present application further provides a motor thermal management device for a pure electric commercial vehicle, the device comprising:

[0036] at least one processor;

[0037] and, a memory communicatively coupled to the at least one processor;

[0038] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the motor thermal management method for a pure electric commercial vehicle as described above.

[0039] On the other hand, an embodiment of the present application further provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows:

[0040] Such as the above-mentioned method for thermal management of a motor of a pure electric commercial vehicle.

[0041] The present application provides a motor thermal management method, device and medium for a pure electric commercial vehicle, which at least have the following beneficial effects:

[0042] By collecting vehicle information, the test conditions and condition types can be determined to accurately reflect the actual operating status of the vehicle; through the pre-built calculation model, the corresponding model calculation data can be calculated for different types of conditions, and these data provide an important reference for subsequent motor thermal management; for each test condition, the condition test is carried out and the test data is collected, and finally the test data is compared with the model calculation data, and the motor control signal and the motor thermal management control signal can be timely discovered and adjusted according to the comparison results, thereby realizing the motor thermal management of pure electric commercial vehicles. Moreover, this adjustment can not only optimize the operating efficiency of the motor and reduce energy consumption, but also extend the service life of the motor and improve the operating reliability of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0044] Figure 1 A schematic diagram of a flow chart of a motor thermal management method for a pure electric commercial vehicle provided in an embodiment of the present application;

[0045] Figure 2 A schematic diagram of the internal structure of a motor thermal management device for a pure electric commercial vehicle provided in an embodiment of the present application. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0047] The embodiment of the present application provides a motor thermal management method, equipment and medium for a pure electric commercial vehicle. By collecting vehicle information, the test conditions and condition types can be determined to accurately reflect the actual operating status of the vehicle; through the pre-constructed calculation model, the corresponding model calculation data can be calculated for different types of conditions, and these data provide an important reference for the subsequent motor thermal management; the condition test is carried out for each test condition and the test data is collected, and finally the test data is compared with the model calculation data, and the motor control signal and the motor thermal management control signal can be timely discovered and adjusted according to the comparison results, thereby realizing the motor thermal management of the pure electric commercial vehicle. Moreover, this adjustment can not only optimize the operating efficiency of the motor and reduce energy consumption, but also extend the service life of the motor and improve the operating reliability of the vehicle. It solves the technical problem that the motor thermal management in the existing energy conversion process lacks relevance to the actual operating conditions, affecting the power performance and cruising range of the whole vehicle.

[0048] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0049] Figure 1 A schematic flow chart of a motor thermal management method for a pure electric commercial vehicle provided in an embodiment of the present application.

[0050] The analysis method involved in the embodiments of the present application can be implemented by a terminal device or a server, and the present application does not impose any special restrictions on this. For the convenience of understanding and description, the following embodiments are described in detail by taking a server as an example.

[0051] It should be noted that the server may be a single device or a system consisting of multiple devices, that is, a distributed server, and this application does not make any specific limitation on this.

[0052] like Figure 1 As shown, an embodiment of the present application provides a motor thermal management method for a pure electric commercial vehicle, comprising:

[0053] 101. Collect the whole vehicle information of the pure electric commercial vehicle, and determine multiple test conditions of the pure electric commercial vehicle and the working condition types corresponding to the multiple test conditions.

[0054] After the server has collected the vehicle information and motor parameters, the next step is to determine multiple test conditions and their corresponding condition types. For the gliding condition type, the test condition can be a state of gliding at a fixed speed on a flat road. This condition is mainly used to test the performance and thermal behavior of the motor under low speed or zero load conditions. For the uniform speed condition type, the test condition can be a state of driving at a constant speed at different speeds on a flat road. This condition is mainly used to test the performance and thermal behavior of the motor under different load conditions. For the automobile driving condition-commercial vehicle standard condition type, the test condition can be a state simulated according to the driving condition specified in the commercial vehicle standard. This condition is mainly used to test the performance and thermal behavior of the motor under actual driving conditions. When determining the test condition, simulation and optimization can be performed through experiments or simulation software to ensure that the selected condition can fully reflect the performance and thermal behavior of the motor.

[0055] It should be noted that the operating condition types in the embodiments of the present application include at least: a gliding operating condition type, a uniform speed operating condition type, and a vehicle driving condition-commercial vehicle standard operating condition type.

[0056] Specifically, in one embodiment of the present application, the server realizes optimized control of motor thermal management by collecting whole vehicle information of a pure electric commercial vehicle, including vehicle parameters, motor parameters, motor controller parameters, and motor cooling system parameters.

[0057] By collecting vehicle information of pure electric commercial vehicles, the server can fully understand various vehicle parameters, including but not limited to vehicle parameters such as unloaded mass, fully loaded mass, rolling friction coefficient, drag coefficient, frontal area, and motor parameters such as motor type, winding type, rotor type, pole pair number, phase resistance, etc. These parameters are crucial for subsequent motor control and thermal management.

[0058] In addition, the server also collects battery parameters of pure electric commercial vehicles, including but not limited to: rated voltage, rated energy, rated capacity, total series and parallel number, maximum discharge current, maximum charging current, total mass, voltage-SOC (state of charge) and temperature curve, internal resistance-SOC and temperature curve, and battery cell filter capacitance.

[0059] Then, the server also collected the motor controller parameters and motor cooling system parameters. The motor controller parameters include the current-voltage and controller power loss curves, the controller material and quality, etc. These parameters are directly related to the control effect and energy efficiency of the motor. The motor cooling system parameters include the cooling water pump, water pump motor parameters, radiator parameters, fan parameters, expansion tank parameters, etc. These parameters are crucial to ensure the stability and reliability of the motor under long-term operation.

[0060] In addition, the server also calculates model calculation data, such as motor torque, current, controller temperature, etc., based on the collected vehicle information and the motor thermal management system model. These data provide an important reference for subsequent motor thermal management. By comparing the test data of the test conditions with the model calculation data, the server can timely discover and adjust the motor control signal and the motor thermal management control signal, thereby achieving motor thermal management of pure electric commercial vehicles and optimizing the operating efficiency of the motor.

[0061] 102. Based on several pre-built calculation models and according to the vehicle information of the pure electric commercial vehicle, the model calculation data required for the corresponding working conditions of the pure electric commercial vehicle are calculated.

[0062] It should be noted that the calculation model in the embodiment of the present application at least includes: a driver model, a motor controller model, a motor model, a vehicle model, a motor thermal management system model and a motor thermal management control system model.

[0063] Specifically, in one embodiment of the present application, the server determines the vehicle control signal through the driver model, and determines the motor torque according to the real-time motor speed and the vehicle control signal through the VCU model. This calculation method takes into account the actual situation of the vehicle and can accurately reflect the operating status of the vehicle, thereby providing an important reference for subsequent motor thermal management.

[0064] After that, the server determines the current and controller temperature through the motor controller model, the motor temperature through the motor model, and the fan speed control signal through the motor thermal management control model. These calculations take into account the real-time operating status and thermal management requirements of the motor, and can adjust the motor's operating status and cooling strategy in a timely manner, thereby achieving optimized control of the motor's thermal management.

[0065] In addition, the server also calculates the controller temperature and motor temperature after cooling based on the controller temperature, motor temperature and fan speed control signal through the motor thermal management system model. This calculation method takes into account the thermal balance state of the entire motor system and can accurately reflect the real-time operating state and thermal management effect of the motor, thus providing an important reference for subsequent motor thermal management.

[0066] Specifically, the server first determines the preset initial vehicle speed corresponding to the vehicle model, and inputs the determined preset initial vehicle speed into the driver model, so that the driver model can output the start-stop control signal, braking control signal and acceleration control signal corresponding to the pure electric commercial vehicle. These signals can directly reflect the driver's operating intention and the vehicle's operating status.

[0067] In one embodiment, the driver model detects the speed difference between the controlled vehicle speed (road spectrum) and the real-time vehicle speed, outputs braking control and acceleration control signals through PID calculation, determines the battery charge through the SOC value, and outputs a start-stop control signal according to the controlled vehicle speed.

[0068] Then, the server can determine the real-time motor speed through the motor model, and input the real-time motor speed of the motor model and the start-stop control signal, braking control signal, and acceleration control signal of the driver model into the VCU model, so that the VCU model can calculate the real-time vehicle speed of the pure electric commercial vehicle based on the real-time motor speed.

[0069] In addition, the server also calculates the total driving force corresponding to the pure electric commercial vehicle through the VCU model and according to the start-stop control signal, braking control signal, and acceleration control signal of the driver model, and calculates the corresponding motor torque according to the force balance formula, and then outputs the motor torque to the motor controller model. These data directly reflect the operating status of the motor and the power requirements of the vehicle, and provide an important reference for subsequent motor control and thermal management.

[0070] Specifically, the server first determines the battery voltage, and inputs the motor torque output by the VCU model, the real-time motor speed of the motor model, and the battery voltage into the motor controller model, so that the motor controller model calculates the corresponding current and inputs the current into the motor model.

[0071] The server calculates the controller loss based on the current and battery voltage, and displays it in the form of controller body heat (W). It is also necessary to determine the motor controller material and motor controller quality in the motor controller parameters, and calculate the controller temperature based on the battery voltage, motor controller material, motor controller quality, current and battery voltage, and then output the calculated controller temperature to the motor thermal management control model for subsequent processing.

[0072] Afterwards, the motor model calculates the motor power and motor torque based on the input current of the motor controller model and the battery voltage in the circuit, and outputs the obtained motor torque to the vehicle model to provide power. The server calculates the motor heat loss based on the current and battery power value, and displays it in the form of motor body heat (W). It is also necessary to determine the motor material and motor mass in the motor parameters, and calculate the motor temperature based on the battery voltage, motor material, motor mass, current and battery voltage, and then output the motor temperature to the motor thermal management control model for subsequent processing.

[0073] In one embodiment of the present application, the server inputs the controller temperature and the motor temperature into the motor thermal management control model, and determines the fan speed control strategy at the corresponding temperature based on the controller temperature and the motor temperature, so that the motor thermal management control model outputs the fan speed control signal during cooling after program calculation based on the input motor controller temperature, motor temperature and the control strategy of the fan speed at the corresponding temperature.

[0074] In one embodiment, the motor thermal management system model in the present application includes sub-models such as a water pump, a water pump motor, a radiator, a fan and an expansion tank. The input signals of the system model are the motor temperature (°C), the motor controller temperature (°C) and the fan speed. The motor temperature and the motor controller temperature after cooling can be calculated through the system internal model.

[0075] 103. For each test condition, perform a condition test on the test condition and collect test data corresponding to the test condition.

[0076] The server performs condition testing on each test condition and collects test data corresponding to the test condition during the condition testing process. These data include the actual gliding time and actual gliding distance of the pure electric commercial vehicle during the gliding process obtained for the test condition of the gliding condition type, and the actual motor power, actual motor speed, actual motor torque and actual motor temperature obtained for the test conditions of the uniform speed condition type and the vehicle driving condition-commercial vehicle standard condition type.

[0077] Specifically, in one embodiment of the present application, for a test condition of the coasting condition type, the server obtains the actual coasting time of the battery voltage pure electric commercial vehicle during the coasting process, and the actual coasting distance corresponding to the actual coasting time of the battery voltage. For a test condition of the coasting condition type, the acquisition of the actual coasting time and the actual coasting distance can accurately reflect the operating state and energy consumption of the pure electric commercial vehicle during the coasting process, and provides an important reference for optimizing the vehicle's coasting performance and energy recovery efficiency.

[0078] For the test conditions of uniform speed condition type and automobile driving condition-commercial vehicle standard condition type, the server obtains the actual motor power, actual motor speed, actual motor torque and actual motor temperature of the battery voltage pure electric commercial vehicle. For the test conditions of the sliding condition type, the acquisition of actual sliding time and actual sliding distance can accurately reflect the operating status and energy consumption of the pure electric commercial vehicle during the sliding process, providing an important reference for optimizing the vehicle's sliding performance and energy recovery efficiency.

[0079] 104. Compare the test data of the test condition with the corresponding model calculation data, and adjust the motor control signal and the motor thermal management control signal of the pure electric commercial vehicle according to the comparison result to realize the motor thermal management of the pure electric commercial vehicle.

[0080] Specifically, in one embodiment of the present application, the server compares the actual coasting time and actual coasting distance corresponding to the coasting condition with the estimated coasting time and estimated coasting distance in the model calculation data, and adjusts the model drag coefficient and drag curve according to the comparison results of the coasting condition. These adjustments can more accurately reflect the resistance of pure electric commercial vehicles during the coasting process, and provide an important reference for optimizing the vehicle's coasting performance and energy recovery efficiency. Through the coasting test, the drag coefficient in the simulation model is calibrated, the motor torque under the actual working condition is accurately calculated, and the contribution of rolling resistance and wind resistance to resistance at different vehicle speeds can be calculated.

[0081] The server also compares the actual motor power, actual motor speed, actual motor torque and actual motor temperature corresponding to the uniform speed condition and the vehicle driving condition-commercial vehicle standard condition with the estimated motor power, estimated motor speed, estimated motor torque and estimated motor temperature in the model calculation data, and then adjusts the motor efficiency and motor thermal management system temperature according to the uniform speed condition comparison results, and adjusts the motor control signal and motor thermal management control signal according to the vehicle driving condition-commercial vehicle standard condition comparison results. These adjustments can timely reflect the real-time operating status and thermal management requirements of the motor, thereby providing an important reference for subsequent motor control and thermal management. Through simulation model calculation and test data comparison, the actual motor torque and motor efficiency during vehicle driving are determined, so as to improve and optimize the motor and vehicle system solutions. Through motor thermal management system calculation and test data comparison, the actual heat dissipation required by the motor is determined, and the heat loss of the motor is effectively managed and reused.

[0082] In addition, the motor thermal management method of the present invention has a wide range of application prospects. It can be applied to various types of pure electric commercial vehicles, such as trucks, buses, etc. At the same time, by adjusting the test conditions and model parameters, the method of the present invention can also adapt to different use environments and driving requirements, with high flexibility and adaptability, improving the performance of electric drive assembly products, and providing a reference for improving the motor thermal management control strategy and vehicle endurance performance.

[0083] The above is an embodiment of the method proposed in this application. Based on the same inventive concept, the embodiment of this application also provides a motor thermal management device for a pure electric commercial vehicle, whose structure is as follows: Figure 2 shown.

[0084] Figure 2The internal structure diagram of a motor thermal management device for a pure electric commercial vehicle provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, the device includes:

[0085] at least one processor;

[0086] and, a memory communicatively coupled to the at least one processor;

[0087] The memory stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor to enable the at least one processor to:

[0088] Collect the vehicle information of the pure electric commercial vehicle, and determine multiple test conditions of the pure electric commercial vehicle and the corresponding working condition types of the multiple test conditions; the working condition types at least include: gliding working condition type, uniform speed working condition type, vehicle driving working condition-commercial vehicle standard working condition type;

[0089] Based on several pre-built calculation models and according to the vehicle information of the pure electric commercial vehicle, the model calculation data required for the corresponding working conditions of the pure electric commercial vehicle are calculated; the calculation model at least includes: a driver model, a motor controller model, a motor model, a vehicle model, a motor thermal management system model and a motor thermal management control system model;

[0090] For each test condition, a condition test is performed on the test condition, and test data corresponding to the test condition is collected; the test data at least includes: actual gliding data, actual motor power, actual motor speed, actual motor torque and actual motor temperature;

[0091] The test data of the test condition is compared with the corresponding model calculation data, and based on the comparison results, the motor control signal and the motor thermal management control signal of the pure electric commercial vehicle are adjusted to achieve motor thermal management of the pure electric commercial vehicle.

[0092] The embodiment of the present application further provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows:

[0093] Collect the vehicle information of the pure electric commercial vehicle, and determine multiple test conditions of the pure electric commercial vehicle and the corresponding working condition types of the multiple test conditions; the working condition types at least include: gliding working condition type, uniform speed working condition type, vehicle driving working condition-commercial vehicle standard working condition type;

[0094] Based on several pre-built calculation models and according to the vehicle information of the pure electric commercial vehicle, the model calculation data required for the corresponding working conditions of the pure electric commercial vehicle are calculated; the calculation model at least includes: a driver model, a motor controller model, a motor model, a vehicle model, a motor thermal management system model and a motor thermal management control system model;

[0095] For each test condition, a condition test is performed on the test condition, and test data corresponding to the test condition is collected; the test data at least includes: actual gliding data, actual motor power, actual motor speed, actual motor torque and actual motor temperature;

[0096] The test data of the test condition is compared with the corresponding model calculation data, and based on the comparison results, the motor control signal and the motor thermal management control signal of the pure electric commercial vehicle are adjusted to achieve motor thermal management of the pure electric commercial vehicle.

[0097] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0098] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0099] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0100] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0101] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0102] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0104] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0105] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0106] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0107] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0108] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A motor thermal management method for a pure electric commercial vehicle, characterized in that: The method comprises: Collecting vehicle information of a pure electric commercial vehicle, and determining a plurality of test conditions of the pure electric commercial vehicle and the operating condition types corresponding to the plurality of test conditions; the operating condition types at least include: a coasting condition type, a uniform speed condition type, and a vehicle driving condition-commercial vehicle standard condition type; Based on several pre-built calculation models and according to the vehicle information of the pure electric commercial vehicle, the model calculation data required for the corresponding working condition of the pure electric commercial vehicle is calculated; the calculation model at least includes: a driver model, a motor controller model, a motor model, a vehicle model, a motor thermal management system model and a motor thermal management control system model; For each test condition, a condition test is performed on the test condition, and test data corresponding to the test condition is collected; the test data at least includes: actual gliding data, actual motor power, actual motor speed, actual motor torque and actual motor temperature; The test data of the test condition is compared with the corresponding model calculation data, and according to the comparison result, the motor control signal and the motor thermal management control signal of the pure electric commercial vehicle are adjusted to achieve the motor thermal management of the pure electric commercial vehicle.

2. The motor thermal management method for a pure electric commercial vehicle according to claim 1, characterized in that: The method of calculating the model calculation data required for the corresponding working condition of the pure electric commercial vehicle based on the pre-built several calculation models and according to the vehicle information of the pure electric commercial vehicle specifically includes: Determine the vehicle control signal corresponding to the pure electric commercial vehicle through the driver model, and determine the motor torque corresponding to the pure electric commercial vehicle through the VCU model according to the real-time motor speed of the motor model and the vehicle control signal; Determine the corresponding current and controller temperature through the motor controller model, determine the corresponding motor temperature through the motor model, and determine the fan speed control signal through the motor thermal management control model; The motor thermal management system model is used to calculate the controller temperature and the motor temperature after cooling according to the controller temperature, the motor temperature and the fan speed control signal.

3. The motor thermal management method for a pure electric commercial vehicle according to claim 2, characterized in that: Determining the vehicle control signal corresponding to the pure electric commercial vehicle through the driver model, and determining the motor torque corresponding to the pure electric commercial vehicle through the VCU model specifically includes: Determine a preset initial vehicle speed corresponding to the vehicle model, and input the preset initial vehicle speed into the driver model, so that the driver model outputs a start-stop control signal, a brake control signal, and an acceleration control signal corresponding to the pure electric commercial vehicle; Determine the real-time speed of the motor corresponding to the motor model, and input the real-time speed of the motor, the start-stop control signal, the brake control signal and the acceleration control signal into the VCU model, so that the VCU model calculates the real-time speed of the pure electric commercial vehicle according to the real-time speed of the motor; According to the start-stop control signal, the brake control signal and the acceleration control signal, the total driving force corresponding to the pure electric commercial vehicle is calculated, and the corresponding motor torque is calculated to output the motor torque to the motor controller module.

4. The motor thermal management method for a pure electric commercial vehicle according to claim 2, characterized in that: The determining of the corresponding current and controller temperature by the motor controller model and the determining of the corresponding motor temperature by the motor model specifically include: Determine the battery voltage, and input the motor torque output by the VCU model, the real-time motor speed of the motor model, and the battery voltage into the motor controller model so that the motor controller model calculates the corresponding current; Determine the motor controller material and the motor controller mass in the motor controller parameters, and calculate the controller temperature according to the motor controller material, the motor controller mass, the current and the battery voltage; The motor material and the motor mass in the motor parameters are determined, and the motor temperature is calculated according to the motor material, the motor mass, the current and the battery voltage.

5. The motor thermal management method for a pure electric commercial vehicle according to claim 2, characterized in that: Determining the fan speed control signal by using the motor thermal management control model specifically includes: Inputting the controller temperature and the motor temperature into the motor thermal management control model, and determining the fan speed control strategy at the corresponding temperature according to the controller temperature and the motor temperature; The fan speed control strategy is input into the motor thermal management control model, so that the motor thermal management control model outputs a fan speed control signal during cooling according to the controller temperature, the motor temperature and the fan speed control strategy.

6. The motor thermal management method for a pure electric commercial vehicle according to claim 1, characterized in that: For each test condition, performing a condition test on the test condition and collecting test data corresponding to the test condition specifically includes: For a test condition of a coasting condition type, obtaining an actual coasting time of the pure electric commercial vehicle during the coasting process, and an actual coasting distance corresponding to the actual coasting time; For the test conditions of the uniform speed working condition type and the automobile driving working condition-commercial vehicle standard working condition type, the actual motor power, actual motor speed, actual motor torque and actual motor temperature of the pure electric commercial vehicle are obtained.

7. The motor thermal management method for a pure electric commercial vehicle according to claim 1, characterized in that: The test data of the test condition is compared with the corresponding model calculation data, and according to the comparison result, the motor control signal and the motor thermal management control signal of the pure electric commercial vehicle are adjusted to achieve the motor thermal management of the pure electric commercial vehicle, specifically including: Compare the actual taxiing time and actual taxiing distance corresponding to the taxiing condition with the estimated taxiing time and estimated taxiing distance in the model calculation data, and adjust the model drag coefficient and drag curve according to the taxiing condition comparison results; Compare the actual motor power, actual motor speed, actual motor torque and actual motor temperature corresponding to the uniform speed condition and the vehicle driving condition-commercial vehicle standard condition with the estimated motor power, estimated motor speed, estimated motor torque and estimated motor temperature in the model calculation data; According to the comparison results of uniform speed working conditions, the motor efficiency and the temperature of the motor thermal management system are adjusted, and according to the comparison results of vehicle driving conditions and commercial vehicle standard conditions, the motor control signal and the motor thermal management control signal are adjusted.

8. The motor thermal management method for a pure electric commercial vehicle according to claim 1, characterized in that: The collection of vehicle information of pure electric commercial vehicles specifically includes: Obtain vehicle parameters corresponding to the pure electric commercial vehicle; the vehicle parameters include at least: unloaded mass, fully loaded mass, rolling friction coefficient, wind resistance coefficient, frontal area, number of front tires, number of rear tires, wheel rotational inertia, and wheel diameter; Determine the motor parameters corresponding to the pure electric commercial vehicle; the motor parameters include at least: motor type, motor winding type, motor rotor type, pole pair number, phase resistance, maximum phase current, motor winding material and quality, motor rotor and sleeve material and quality, and motor cooling plate material and quality; Collect motor controller parameters and motor cooling system parameters corresponding to the pure electric commercial vehicle; the motor controller parameters include at least: current-voltage and controller power loss curves, controller material and quality; the motor cooling system parameters include at least: cooling water pump, water pump motor parameters, radiator parameters, fan parameters, expansion water tank parameters, and motor cooling system control strategy.

9. A motor thermal management device for a pure electric commercial vehicle, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the motor thermal management method for a pure electric commercial vehicle as described in any one of claims 1 to 8.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are configured to: A motor thermal management method for a pure electric commercial vehicle as described in any one of claims 1 to 8.

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