WO2023232017A1 - Procédé et appareil de commande pour système de gestion thermique de véhicule, dispositif et support - Google Patents

Procédé et appareil de commande pour système de gestion thermique de véhicule, dispositif et support Download PDF

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Publication number
WO2023232017A1
WO2023232017A1 PCT/CN2023/097069 CN2023097069W WO2023232017A1 WO 2023232017 A1 WO2023232017 A1 WO 2023232017A1 CN 2023097069 W CN2023097069 W CN 2023097069W WO 2023232017 A1 WO2023232017 A1 WO 2023232017A1
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WIPO (PCT)
Prior art keywords
data
thermal management
temperature data
management system
model
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PCT/CN2023/097069
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English (en)
Chinese (zh)
Inventor
姜鸿
王国强
刘元治
李想
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中国第一汽车股份有限公司
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Publication of WO2023232017A1 publication Critical patent/WO2023232017A1/fr

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D23/00—Control of temperature
    • G05D23/19—Control of temperature characterised by the use of electric means
    • G05D23/20—Control of temperature characterised by the use of electric means with sensing elements having variation of electric or magnetic properties with change of temperature
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

Definitions

  • Embodiments of the present application relate to the field of vehicle technology, for example, to a control method, device, equipment and medium for a vehicle thermal management system.
  • the thermal management system of automobiles such as hybrid vehicles or electric vehicles, connects multiple powertrains through pipelines, and uses cooling media to exchange heat between the multiple powertrains and the external environment, so that the powertrains work at their optimal within the temperature range.
  • the vehicle controller collects the temperatures of multiple powertrains through temperature sensors and controls the operation of the water pump or fan of the thermal management system to achieve heat exchange and achieve thermal balance among multiple powertrains.
  • the collection of multiple powertrain temperatures and cooling medium temperatures is a key factor in achieving power system thermal management.
  • Temperature information of multiple powertrains can be collected through temperature sensors.
  • different temperature sensors have different accuracies.
  • the control effect of the thermal management system will be unsatisfactory. For example, when using a temperature sensor with low accuracy, if the temperature judgment threshold is not lowered, the powertrain will work at an inappropriate temperature for a long time, resulting in a reduction in service life; lowering the temperature judgment threshold will cause the vehicle energy consumption to increase, reducing the Driving range.
  • Embodiments of the present application provide a control method, device, equipment and medium for a vehicle thermal management system, which can improve the accuracy of temperature collection without using high-precision temperature sensors, thereby reducing Lower vehicle costs and improve vehicle thermal management system performance.
  • a control method for a vehicle thermal management system including:
  • the thermal management system to be controlled is controlled according to the sensor temperature data and the model calculated temperature data.
  • a control device for a vehicle thermal management system including:
  • a data acquisition module configured to acquire the electrical power data of the target power device in the thermal management system to be controlled and the sensor temperature data corresponding to the target power device during vehicle driving;
  • a control signal data determination module configured to determine the control signal data corresponding to the target power device when it is determined that the sensor temperature data reaches a preset temperature threshold
  • the model calculation temperature data determination module is configured to input the electrical power data and the control signal data into the system simulation model of the thermal management system to be controlled, so as to obtain the model calculation temperature data through the system simulation model;
  • a system control module is configured to calculate temperature data based on the sensor temperature data and the model, and control the thermal management system to be controlled.
  • an electronic device including:
  • the memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the method described in any embodiment of the present application. Control method of vehicle thermal management system.
  • a computer-readable storage medium which stores computer instructions.
  • the computer instructions are configured to enable the processor to implement the control of the vehicle thermal management system described in any embodiment of the present application when executed by the processor. method.
  • Figure 1 is a flow chart of a control method for a vehicle thermal management system provided in Embodiment 1 of the present application;
  • Figure 2 is a flow chart of a control method for a vehicle thermal management system provided in Embodiment 2 of the present application;
  • Figure 3 is an example flow chart of a control method for a vehicle thermal management system provided in Embodiment 3 of the present application;
  • Figure 4 is a schematic structural diagram of an example of a system simulation model provided in Embodiment 3 of the present application.
  • FIG. 5 is a schematic diagram of a control device of a vehicle thermal management system provided in Embodiment 4 of the present application;
  • FIG. 6 is a schematic structural diagram of an electronic device that implements the control method of the vehicle thermal management system according to the embodiment of the present application.
  • FIG. 1 is a flow chart of a control method for a vehicle thermal management system provided in Embodiment 1 of the present application.
  • This embodiment can be applied to improve the accuracy of temperature collection without using a high-precision temperature sensor.
  • This method can be executed by the control device of the vehicle thermal management system, and the device can use at least one of software and hardware. It can be implemented in one way, and can generally be directly integrated into the electronic device that executes the method.
  • the electronic device can be a terminal device or a server device.
  • the embodiments of this application do not apply to the electronic device that executes the control method of the vehicle thermal management system. type is limited.
  • the control method of the vehicle thermal management system may include the following steps:
  • the thermal management system to be controlled can be any system that requires thermal management control. It will be appreciated that at least one power device may be included in the thermal management system. By controlling the thermal management system, the vehicle's power unit can be operated within a suitable temperature range, thereby improving vehicle performance.
  • the target power plant can be any device capable of providing power to the vehicle. It can be understood that the target power device can be any power device in the thermal management system.
  • the target power device may include at least one of a power motor device, a DC converter device, a vehicle charging device, a power battery device and an engine device.
  • the electric power data may be the power data per unit time when current flows through the target power device while the vehicle is driving.
  • the sensor temperature data may be the temperature data of the target power unit collected by a temperature sensor corresponding to the target power unit while the vehicle is driving.
  • the electric power data of the target power device in the thermal management system to be controlled is obtained, and the sensor temperature data corresponding to the target power device is obtained.
  • the vehicle may be a hybrid vehicle or an electric vehicle, which is not limited in the embodiments of the present application. It can be understood that when the vehicle is driving, the current flowing through the power unit will generate electrical power data, and as the power unit operates, the temperature of the power unit will increase. In order to ensure vehicle performance, the temperature of the power unit needs to be controlled within an appropriate range.
  • the preset temperature threshold may be a preset temperature threshold that matches the target power device. It can be understood that the preset temperature thresholds corresponding to different power devices may be different.
  • the control signal data may be signal data for controlling the temperature control device. It can be understood that by controlling the temperature control device, the temperature of the target power device corresponding to the temperature control device can be reduced.
  • the temperature control device may include a water pump, a fan, an electric heating device or an electric cooling device.
  • the control signal data may include at least one of a water pump control signal, a fan control signal, an electric heating device control signal and an electric cooling device control signal. It should be noted that different target power devices can correspond to different temperature control devices, and one target power device can correspond to multiple temperature control devices.
  • the temperature control device corresponding to the target power device needs to be controlled to reduce the sensor temperature data so that the target power device operates within a normal temperature range. It can be understood that when the sensor temperature data does not reach the preset temperature threshold, it means that the target power device is operating within a normal temperature range, and there is no need to control the temperature control device corresponding to the target power device.
  • the system simulation model may be a model obtained by simulating the power device and the temperature control device in the vehicle thermal management system.
  • the model calculated temperature data may be the temperature data corresponding to the target power device calculated through the system simulation model.
  • the electric power rate data and the control signal data can be input into the system simulation model of the thermal management system to be controlled, so as to obtain the model calculation through the system simulation model temperature data.
  • the The thermal management system to be controlled is controlled based on the temperature data calculated from the sensor temperature data and the model. It can be understood that when the collection accuracy of the temperature sensor corresponding to the target power device is low, the temperature control device corresponding to the target power device cannot be accurately controlled.
  • the technical solution of this embodiment is to obtain the electrical power data of the target power device in the thermal management system to be controlled during vehicle driving, as well as the sensor temperature data corresponding to the target power device, and determine that the sensor temperature data reaches the preset temperature threshold. , determine the control signal data corresponding to the target power device, input the electric power data and control signal data into the system simulation model of the thermal management system to be controlled, so as to obtain the model calculated temperature data through the system simulation model, so as to calculate the temperature data according to the sensor temperature data and model Calculate the temperature data to control the thermal management system to be controlled, solving the problem that the control of the vehicle thermal management system in related technologies cannot ensure the performance of the thermal management system while reducing vehicle costs. It can improve the performance of the thermal management system without using high-precision temperature sensors. The accuracy of temperature acquisition can reduce vehicle costs and improve the performance of vehicle thermal management systems.
  • FIG. 2 is a flow chart of a control method for a vehicle thermal management system provided in Embodiment 2 of the present application.
  • This embodiment is a refinement of the above technical solution and provides a method for obtaining the electric power of the target power device in the thermal management system to be controlled.
  • Data, during the driving process of the vehicle, the sensor temperature data corresponding to the target power unit, the electric power data and the control signal data are input into the system simulation model of the thermal management system to be controlled, and the temperature data to be controlled is calculated based on the sensor temperature data and model.
  • Various optional implementations of thermal management system control The technical solution in this embodiment can be combined with the optional solution in at least one of the above embodiments. As shown in Figure 2, the method may include the following steps:
  • the thermal management system may include: determining the current thermal state of the target power device based on the sensor temperature data. ;Determine the current thermal The preset temperature threshold corresponding to the state.
  • the current thermal state may be the state of the target power device at the current temperature, for example, it may be the state in which the target power device needs to be cooled at the current higher temperature, or it may be the state in which the target power device needs to be cooled at the current lower temperature.
  • the embodiment of the present application does not limit the state of heating. For example, the power battery device needs to be cooled at a higher temperature and heated at a lower temperature.
  • the current thermal state of the target power device can be determined based on the sensor temperature data, and A preset temperature threshold corresponding to the current thermal state is determined based on the current thermal state. It can be understood that different sensor temperature data can correspond to different thermal states, and different thermal states can correspond to different preset temperature thresholds.
  • the thermal management system to be controlled before inputting the electric power data and the control signal data into the system simulation model of the thermal management system to be controlled, it may include: establishing the thermal management system to be controlled according to the thermal management system to be controlled. Control the system simulation model corresponding to the thermal management system; obtain the system performance test data of the thermal management system to be controlled under different thermal management conditions; optimize the model parameters of the system simulation model according to the system performance test data .
  • the thermal management operating conditions may be operating conditions corresponding to the power device in the thermal management system.
  • the thermal management working conditions may include cooling working conditions of the power motor device, cooling working conditions of the DC converter device, cooling working conditions of the on-board charging device, cooling working conditions of the power battery device, heating working conditions of the power battery device, and self-heating conditions of the power battery device. Cycling conditions or engine unit cooling conditions.
  • the system performance test data may be data obtained by performing performance tests on the vehicle's thermal management system.
  • Model parameters can be parameters corresponding to any device in the system simulation model.
  • the model parameters may include water delivery volume parameters, specific heat value parameters, weight Parameters or heat dissipation rate parameters, etc., are not limited in the embodiments of this application.
  • a system simulation model can be established based on the thermal management system to be controlled, and the thermal management system to be controlled under different thermal management conditions can be obtained.
  • System performance test data under the system performance test data to optimize the model parameters of the system simulation model based on the system performance test data. It can be understood that the more times performance tests are performed on the thermal management system, the more system performance test data is obtained, and thus the higher the accuracy of the model parameters of the system simulation model. It should be noted that the embodiments of the present application do not limit the implementation method of optimizing the model parameters of the system simulation model based on the system performance test data, as long as the optimization of the model parameters of the system simulation model can be achieved.
  • the sensor accuracy may be the accuracy of temperature data collected by the temperature sensor.
  • the first weighting factor may be a weighting factor corresponding to the sensor temperature data in the weighted average algorithm.
  • the sensor accuracy corresponding to the sensor temperature data can be determined, and the sensor accuracy can be used as the first weighting factor corresponding to the sensor temperature data.
  • the model accuracy may be the accuracy of temperature data calculated by the system simulation model calculation model.
  • the second weighting factor may be a weighting factor corresponding to the temperature data calculated by the model in the weighted average algorithm.
  • the model accuracy corresponding to the system simulation model can be determined, and the model accuracy is used as the second weighting factor corresponding to the model calculation temperature data.
  • the sensor temperature number The current device temperature corresponding to the target power device is determined based on the corresponding first weighting factor, the model calculated temperature data and the second weighting factor corresponding to the model calculated temperature data.
  • the current device temperature may be the temperature of the current target power device.
  • a weighted average algorithm can be used to calculate the sensor temperature data, the first weighting factor corresponding to the sensor temperature data, the model calculated temperature data, and the model calculated temperature data.
  • the corresponding second weighting factor determines the current device temperature corresponding to the target power device. It can be understood that the current device temperature may be the sum of the product of the sensor temperature data and the first weighting factor, and the product of the model calculated temperature data and the second weighting factor.
  • the current device temperature corresponding to the target power device is determined based on the sensor temperature data, the first weighting factor corresponding to the sensor temperature data, the model calculated temperature data, and the second weighting factor corresponding to the model calculated temperature data.
  • it may also include: determining the temperature change rate of the sensor temperature data; when the temperature change rate exceeds the change rate threshold, increasing the first weighting factor corresponding to the sensor temperature data to the first target weighting value, and reducing the model to calculate the temperature data.
  • the corresponding second weighting factor to the second target weighting value.
  • the temperature change rate may be the change rate of temperature data collected by a temperature sensor corresponding to the target power device.
  • the change rate threshold may be a threshold corresponding to a preset temperature data change rate.
  • the first target weighting value may be a target value of the weighting factor.
  • the second target weighting value may be another target value of the weighting factor.
  • the current device temperature corresponding to the target power device is determined based on the sensor temperature data, the first weighting factor corresponding to the sensor temperature data, the model calculated temperature data, and the second weighting factor corresponding to the model calculated temperature data.
  • the rate of temperature change of the sensor temperature data is determined based on the sensor temperature data, the first weighting factor corresponding to the sensor temperature data, the model calculated temperature data, and the second weighting factor corresponding to the model calculated temperature data.
  • the rate of temperature change of the sensor temperature data is determined based on the sensor temperature data, the first weighting factor corresponding to the sensor temperature data, the model calculated temperature data, and the second weighting factor corresponding to the model calculated temperature data.
  • the thermal The management system is a dynamic system, but the system simulation model is a static model, so the model accuracy of the system simulation model will be reduced.
  • the weighting value corresponding to the first weighting factor is less than the first target weighting value, and the weighting value corresponding to the second weighting factor is greater than the second target weighting value.
  • the current device temperature corresponding to the target power device is determined based on the sensor temperature data, the first weighting factor corresponding to the sensor temperature data, the model calculated temperature data, and the second weighting factor corresponding to the model calculated temperature data.
  • it may also include: determining the startup time of the vehicle control device corresponding to the thermal management system to be controlled; if the startup time does not reach the time threshold, increasing the first weighting factor corresponding to the sensor temperature data to the first target weighting value, and Reduce the second weighting factor corresponding to the temperature data calculated by the model to the second target weighting value.
  • the vehicle control device may be a device that controls the entire vehicle.
  • the vehicle control device may include a device for controlling the startup of the vehicle, a device for controlling a temperature control device of the vehicle, a device for controlling a power device of the vehicle, etc., which are not limited in the embodiments of the present application.
  • the activation time may be the time at which the vehicle controls are activated.
  • the time threshold may be a preset time threshold for activating the vehicle control device.
  • the current device temperature corresponding to the target power device is determined based on the sensor temperature data, the first weighting factor corresponding to the sensor temperature data, the model calculated temperature data, and the second weighting factor corresponding to the model calculated temperature data.
  • the startup time of the vehicle control device corresponding to the thermal management system to be controlled can be determined, and whether the startup time reaches the time threshold can be determined.
  • the first weighting factor corresponding to the sensor temperature data is increased to the first target weighting value
  • the second weighting factor corresponding to the model calculated temperature data is reduced to the second target weighting value.
  • the thermal management system to be controlled after determining the current device temperature corresponding to the target power device, the thermal management system to be controlled can be controlled based on the current device temperature. It can be understood that controlling the thermal management system to be controlled based on the current device temperature may include controlling the temperature control device in the thermal management system to reduce the temperature of the target power device when the current device temperature of the target power device exceeds the normal operating temperature threshold. temperature, so that the target power device operates within the normal operating temperature threshold range.
  • the technical solution of this embodiment is to obtain the electric power data of the target power device in the thermal management system to be controlled during vehicle driving, as well as the sensor temperature data corresponding to the target power device, and determine that the sensor temperature data reaches the preset temperature threshold. Next, determine the control signal data corresponding to the target power device, then input the electric power data and control signal data into the system simulation model of the thermal management system to be controlled, obtain the model-calculated temperature data through the system simulation model, and then determine the sensor corresponding to the sensor temperature data.
  • the temperature data, the first weighting factor corresponding to the sensor temperature data, the model calculated temperature data and the second weighting factor corresponding to the model calculated temperature data determine the current device temperature corresponding to the target power device, so that the thermal management system to be controlled is performed according to the current device temperature.
  • Control solves the problem that the control of the vehicle thermal management system of related technologies cannot ensure the performance of the thermal management system while reducing vehicle costs. It can improve the accuracy of temperature collection without using high-precision temperature sensors, thereby reducing vehicle costs. cost and improve the performance of vehicle thermal management systems.
  • FIG. 3 is an example flowchart of a control method for a vehicle thermal management system provided in Embodiment 3 of the present application. As shown in Figure 3, it may include, for example, the following content:
  • the first step is to establish a system simulation model of the thermal management system.
  • FIG 4 is a schematic structural diagram of an example of a system simulation model provided in Embodiment 3 of the present application.
  • the system simulation model may include multiple powertrain heating models, a heat exchanger model 41, and water pump models 21 and 22. , 23. Fan model 31, cooling medium pipeline model 42, electric heating device model 32 and electric cooling device model 33.
  • the powertrain heating model may include a power motor model 11, a DC converter model 12, a vehicle charger model 13, a power battery model 14 and an engine model 15.
  • the power motor model 11, the DC converter model 12, the on-board charger model 13, the water pump model 21, the cooling medium pipeline model 42 and the heat exchanger model 41 form a first cooling circuit.
  • the power battery model 14, the electric heating device model 32, the electric cooling device model 33, the water pump model 22 and the cooling medium pipeline model 42 form a second cooling circuit.
  • the engine model 15, the water pump model 23, the cooling medium pipeline model 42, the heat exchanger model 41 and the fan model 31 form a third cooling circuit.
  • Each powertrain heating model has its own heating characteristics, that is, different powertrain heating models generate different heating powers when working at different electrical powers.
  • the heat exchanger model 41 may be a device for exchanging heat between the thermal management system and the outside atmosphere.
  • the cooling medium can release heat to the atmosphere when flowing through the heat exchanger model 41 .
  • the water pump models 21, 22, and 23 can be devices that drive the cooling medium to flow in the cooling pipeline, and can control the flow rate of the cooling medium, thereby changing the amount of heat exchange between the cooling medium and the multiple powertrain heating models and heat exchanger models 41 .
  • the fan model 31 may be a device that accelerates heat exchange between the heat exchanger and the atmosphere.
  • the cooling medium pipeline model 42 can be a device that connects multiple powertrain heating models and heat exchanger models 41; the electric heating device model 32 and the electric cooling device model 33 can provide electric heat sources and electric cooling sources for the power battery 14. device.
  • the second step is to obtain test data by conducting performance tests under thermal management conditions.
  • the thermal management working conditions can include power motor cooling working conditions, DC converter cooling working conditions, vehicle charger cooling working conditions, power battery self-circulation working conditions, power battery cooling working conditions, power battery heating working conditions and engine cooling working conditions. condition.
  • determine the model parameters of the system simulation model of the thermal management system determine the model parameters of the system simulation model of the thermal management system, optimize the system simulation model of the thermal management system, and calculate the simulation accuracy (that is, model accuracy) of the system simulation model.
  • the vehicle controller controls the operation of the thermal management system.
  • the vehicle controller controls the driving of the vehicle and collects the electric power of the powertrain (i.e., the power unit), and at the same time collects the temperature data of the temperature sensor corresponding to the powertrain (i.e., the sensor temperature data), and determines whether the powertrain According to the current thermal state, and based on the preset temperature threshold, it controls the operation of temperature control devices such as fans, water pumps, electric heating devices or electric cooling devices.
  • the powertrain i.e., the power unit
  • the temperature data of the temperature sensor corresponding to the powertrain i.e., the sensor temperature data
  • the fourth step is temperature simulation of the powertrain.
  • the vehicle controller inputs the collected electric power data of the powertrain and the control signal data of the temperature control device into the system simulation model of the thermal management system, and calculates the simulated temperature of the powertrain through the system simulation model ( That is, the model calculates temperature data).
  • the fifth step is optimal estimation of powertrain temperature.
  • the optimal powertrain temperature is calculated through a weighted average algorithm Estimate (i.e. current device temperature).
  • the acquisition accuracy of the temperature sensor and the simulation accuracy of the system simulation model of the thermal management system are weighting factors.
  • the weighting factor will be adjusted according to different working conditions.
  • the temperature simulation data of the thermal management system will be initialized and deviate from the real assembly temperature.
  • the simulation accuracy of the system simulation model will be reduced under this working condition. Therefore, the weighting factor corresponding to the sensor temperature data can be increased to reduce the The weighting factor corresponding to the temperature data of the simulation model.
  • the temperature change rate exceeds the threshold, it belongs to the dynamic characteristics of the thermal management system.
  • the system simulation model is a static model, and the test data is also static data. Under this working condition, the simulation accuracy of the system simulation model will be reduced, so the accuracy of the sensor temperature data can be improved.
  • Weighting factor reduce the weighting factor corresponding to the temperature data of the simulation model.
  • the weighting factor of the sensor temperature signal is increased to 1, and the weighting factor of the simulation model temperature data is decreased to 0.
  • the temperature change rate exceeds 1°C per second, increase the weighting factor of the sensor temperature signal to 1 and reduce the weighting factor of the simulation model temperature data to 0.
  • the optimal estimated value of the powertrain temperature is fed back to the vehicle controller as an input signal to control the thermal management system to control the temperature control device in the thermal management system to reduce the operating temperature of the powertrain.
  • the control method of the vehicle thermal management system may include: (1) establishing a simulation model of the motor cooling circuit.
  • the motor cooling circuit simulation model may include a power motor model, a DC converter model, a vehicle charger model, a heat exchanger model, a water pump model, a fan model, and a cooling medium pipeline model.
  • the thermal management conditions can include motor cooling conditions, DC converter cooling conditions and vehicle charger cooling conditions.
  • the vehicle controller controls the driving of the vehicle and collects the electric power of the power motor, DC converter and on-board charger.
  • the vehicle controller inputs the collected electrical power signals of the power motor, DC converter and on-board charger, as well as the control signals of the water pump and fan, into the motor cooling circuit simulation model of the thermal management system, and calculates the power motor, DC Simulated temperatures of converter and on-board charger.
  • the vehicle controller will use the temperature and sensor accuracy of the power motor, DC converter and on-board charger collected by the sensor, as well as the temperature and calculation accuracy of the power motor, DC converter and on-board charger calculated by the simulation model ( That is, model accuracy), weighted calculations are made to calculate the optimal estimated temperatures of the power motor, DC converter and on-board charger.
  • the vehicle controller uses the optimal estimated temperatures of the power motor, DC converter and on-board charger as inputs to control the motor cooling circuit to cool the power motor.
  • the control method of the vehicle thermal management system may include: (1) establishing a battery cooling circuit simulation model.
  • the battery cooling circuit simulation model may include a power battery model, an electric heating device model, an electric cooling device model, a water pump model and a cooling medium pipeline model.
  • the thermal management conditions may include power battery cooling conditions and power battery heating conditions.
  • the vehicle controller controls the driving of the vehicle and uses the electric power of the power battery.
  • the vehicle controller collects the temperature signal of the power battery temperature sensor, determines the thermal status of the power battery, and controls the water pump, electric heating device and electric cooling according to the preset temperature threshold. Pack Setup work.
  • the vehicle controller inputs the collected electric power signal of the power battery and the control signals of the water pump, electric heating device and electric cooling device to the battery cooling circuit simulation model of the thermal management system to calculate the simulation temperature of the power battery.
  • the vehicle controller will calculate the optimal estimated temperature of the power battery based on the temperature and sensor accuracy of the power battery collected by the sensor, as well as the temperature and calculation accuracy of the power battery calculated by the simulation model.
  • the vehicle controller uses the optimal estimated temperature of the power battery as an input to control the battery cooling circuit to cool the power battery.
  • the control method of the vehicle thermal management system may include: (1) establishing a simulation model of the engine cooling circuit.
  • the engine cooling circuit simulation model may include an engine model, a heat exchanger model, a water pump model, a fan model and a cooling medium pipeline model.
  • the thermal management conditions may include engine cooling conditions.
  • the vehicle controller controls the driving of the vehicle, collects the power of the engine, and collects the temperature signal of the engine temperature sensor to determine the thermal status of the engine, and controls the operation of the fan and water pump according to the preset temperature threshold.
  • the vehicle controller inputs the collected engine power signals and control signals to the water pump and fan to the engine cooling circuit simulation model of the thermal management system to calculate the simulated engine temperature.
  • the vehicle controller will calculate the optimal estimated engine temperature based on the engine temperature and sensor accuracy collected by the sensor, as well as the engine temperature and calculation accuracy calculated by the simulation model.
  • the vehicle controller uses the optimal estimated temperature of the engine as an input to control the engine cooling circuit to cool the engine.
  • the above technical solution can obtain high-precision temperature signals by using low-cost and low-precision temperature sensors, thereby achieving optimal performance of the vehicle thermal management system on the basis of reducing vehicle costs.
  • FIG. 5 is a schematic diagram of a control device of a vehicle thermal management system provided in Embodiment 4 of the present application. As shown in Figure 5, the device includes: a data acquisition module 510, a control signal data determination module 520, and a model calculation temperature data determination module. module 530 and system control module 540, where:
  • the data acquisition module 510 is configured to acquire the electric power data of the target power device in the thermal management system to be controlled and the sensor temperature data corresponding to the target power device during the driving of the vehicle;
  • the control signal data determination module 520 is configured to determine the control signal data corresponding to the target power device when it is determined that the sensor temperature data reaches a preset temperature threshold;
  • the model calculated temperature data determination module 530 is configured to input the electrical power data and the control signal data into the system simulation model of the thermal management system to be controlled, so as to obtain the model calculated temperature data through the system simulation model;
  • the system control module 540 is configured to control the thermal management system to be controlled based on the sensor temperature data and the model calculated temperature data.
  • the technical solution of this embodiment is to obtain the electrical power data of the target power device in the thermal management system to be controlled during vehicle driving, as well as the sensor temperature data corresponding to the target power device, and determine that the sensor temperature data reaches the preset temperature threshold. , determine the control signal data corresponding to the target power device, input the electric power data and control signal data into the system simulation model of the thermal management system to be controlled, so as to obtain the model calculated temperature data through the system simulation model, so as to calculate the temperature data according to the sensor temperature data and model Calculate the temperature data to control the thermal management system to be controlled, solving the problem that the control of the vehicle thermal management system in related technologies cannot ensure the performance of the thermal management system while reducing vehicle costs. It can improve the performance of the thermal management system without using high-precision temperature sensors. The accuracy of temperature acquisition can reduce vehicle costs and improve the performance of vehicle thermal management systems.
  • the target power device may include at least one of a power motor device, a DC converter device, a vehicle charging device, a power battery device, and an engine device;
  • the control signal data may include at least a water pump control signal, a fan control signal, and an electric heating device.
  • One of the control signal and the electric cooling device control signal may include at least one of a power motor device, a DC converter device, a vehicle charging device, a power battery device, and an engine device;
  • the control signal data may include at least a water pump control signal, a fan control signal, and an electric heating device.
  • One of the control signal and the electric cooling device control signal may include at least one of a power motor device, a DC converter device, a vehicle charging device, a power battery device, and an engine device;
  • the data acquisition module 510 may be configured to: determine the current thermal state of the target power device based on the sensor temperature data; determine the preset temperature threshold corresponding to the current thermal state based on the current thermal state.
  • the model calculation temperature data determination module 530 can be set to: based on the heat pipe to be controlled Management system, establish a system simulation model corresponding to the thermal management system to be controlled; obtain system performance test data of the thermal management system to be controlled under different thermal management conditions; optimize the model parameters of the system simulation model based on the system performance test data.
  • the system control module 540 can be configured to: determine the sensor accuracy corresponding to the sensor temperature data, and use the sensor accuracy as the first weighting factor corresponding to the sensor temperature data; determine the model accuracy corresponding to the system simulation model, and use the model accuracy As the second weighting factor corresponding to the model-calculated temperature data; through the weighted average algorithm, the target is determined based on the sensor temperature data, the first weighting factor corresponding to the sensor temperature data, the model-calculated temperature data, and the second weighting factor corresponding to the model-calculated temperature data.
  • the current device temperature corresponding to the power device based on the current device temperature, the thermal management system to be controlled is controlled.
  • system control module 540 may be configured to: determine the temperature change rate of the sensor temperature data; when the temperature change rate exceeds the change rate threshold, increase the first weighting factor corresponding to the sensor temperature data to the first target weighting value. , and reduce the second weighting factor corresponding to the model calculated temperature data to the second target weighting value.
  • system control module 540 may also be configured to: determine the startup time of the vehicle control device corresponding to the thermal management system to be controlled; if the startup time does not reach the time threshold, increase the first weighting factor corresponding to the sensor temperature data. to the first target weighting value, and reduce the second weighting factor corresponding to the model calculated temperature data to the second target weighting value.
  • the control device of the vehicle thermal management system provided by the embodiments of the present application can execute the control method of the vehicle thermal management system provided by any embodiment of the present application, and has functional modules and effects corresponding to the execution method.
  • FIG. 6 shows a schematic structural diagram of an electronic device 10 that can be used to implement embodiments of the present application.
  • Electronic devices are intended to refer to various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers.
  • Electronic devices may also represent various forms of mobile devices, such as personal digital processing, cellular Cell phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices.
  • the components shown herein, their connection relationships, and their functions are merely examples and are not intended to limit the scope of protection of the present application.
  • the electronic device 60 includes at least one processor 61, and a memory communicatively connected to the at least one processor 61, such as a read-only memory (Read-Only Memory, ROM) 62, a random access memory (Random Access Memory, RAM) 63, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 61 can be loaded into the random access memory (RAM) according to the computer program stored in the read-only memory (ROM) 62 or from the storage unit 68.
  • Computer program in RAM) 63 to perform various appropriate actions and processes.
  • various programs and data required for the operation of the electronic device 60 can also be stored.
  • the processor 61, ROM 62 and RAM 63 are connected to each other via a bus 64.
  • An input/output (I/O) interface 65 is also connected to the bus 64 .
  • the I/O interface 65 includes: an input unit 66, such as a keyboard, a mouse, etc.; an output unit 67, such as various types of displays, speakers, etc.; a storage unit 68, such as a magnetic disk, an optical disk, etc. etc.; and a communication unit 69, such as a network card, modem, wireless communication transceiver, etc.
  • the communication unit 69 allows the electronic device 60 to exchange information/data with other devices through computer networks such as the Internet and various telecommunications networks.
  • Processor 61 may be a variety of general or special purpose processing components having processing and computing capabilities. Examples of the processor 61 include, but are not limited to, a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU), various dedicated artificial intelligence (Artificial Intelligence, AI) computing chips, and various running machines. Processor of learning model algorithm, digital signal processor (Digital Signal Processing, DSP), and any appropriate processor, controller, microcontroller, etc. The processor 61 performs the methods and processes described above, such as the control method of the vehicle thermal management system.
  • CPU Central Processing Unit
  • GPU Graphics Processing Unit
  • AI Artificial Intelligence
  • DSP Digital Signal Processing
  • the processor 61 performs the methods and processes described above, such as the control method of the vehicle thermal management system.
  • control method of the vehicle thermal management system may be implemented as a computer program, which is tangibly embodied in a computer-readable storage medium, such as the storage unit 68 .
  • part or all of the computer program may be loaded via at least one of ROM 62 and communication unit 69 Or installed on the electronic device 60.
  • the computer program is loaded into the RAM 63 and executed by the processor 61, at least one step of the control method of the vehicle thermal management system described above may be performed.
  • the processor 61 may be configured to perform the control method of the vehicle thermal management system in any other suitable manner (eg, by means of firmware).
  • Various implementations of the systems and techniques described above may be implemented in digital electronic circuit systems, integrated circuit systems, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Implemented in Application Specific Standard Parts (ASSP), System on Chip (SOC), Complex Programmable Logic Device (CPLD), computer hardware, firmware, software, and their combinations .
  • FPGAs Field Programmable Gate Arrays
  • ASICs Application Specific Integrated Circuits
  • ASSP Application Specific Standard Parts
  • SOC System on Chip
  • CPLD Complex Programmable Logic Device
  • computer hardware firmware, software, and their combinations .
  • Computer programs for implementing the methods of the present application may be written in any combination of at least one programming language. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer program causes the functions or operations specified in the flowcharts and block diagrams to be implemented.
  • a computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
  • a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device.
  • Computer-readable storage media may include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any suitable combination of the foregoing.
  • the computer-readable storage medium may be a machine-readable signal medium.
  • Computer-readable storage media may include electrical connections based on at least one wire, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), Erasable Programmable Read Only Memory (Erasable Programmable Read -Only Memory (EPROM), flash memory, optical fiber, portable compact disk read-only memory (Compact Disc Read-Only Memory, CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • RAM random access memory
  • ROM read only memory
  • EPROM Erasable Programmable Read Only Memory
  • flash memory optical fiber
  • portable compact disk read-only memory Compact Disc Read-Only Memory
  • CD-ROM Compact Disc Read-Only Memory
  • magnetic storage device or any suitable combination of the above.
  • the systems and techniques described herein may be implemented on an electronic device having a display device (e.g., a cathode ray tube (CRT) or liquid crystal) for displaying information to the user.
  • a display device e.g., a cathode ray tube (CRT) or liquid crystal
  • a display Liquid Crystal Display, LCD monitor
  • a keyboard and pointing device e.g., a mouse or a trackball
  • Other kinds of devices may also be configured to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and may be provided in any form, including Acoustic input, voice input or tactile input) to receive input from the user.
  • the systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., A user's computer having a graphical user interface or web browser through which the user can interact with implementations of the systems and technologies described herein), or including such backend components, middleware components, or any combination of front-end components in a computing system.
  • the components of the system may be interconnected by any form or medium of digital data communication (eg, a communications network). Examples of communication networks include: Local Area Network (LAN), Wide Area Network (WAN), blockchain network, and the Internet.
  • Computing systems may include clients and servers.
  • Clients and servers are generally remote from each other and typically interact over a communications network.
  • the relationship of client and server is created by computer programs running on corresponding computers and having a client-server relationship with each other.
  • the server can be a cloud server, also known as cloud computing server or cloud host. It is a host product in the cloud computing service system to solve the problems that exist between traditional physical host and virtual private server (VPS) services. It has the disadvantages of difficult management and weak business scalability.
  • VPN virtual private server

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Control Of Temperature (AREA)

Abstract

Les modes de réalisation de la présente demande concernent un procédé et un appareil de commande pour un système de gestion thermique de véhicule, un dispositif et un support. Le procédé consiste à : acquérir, pendant un processus de conduite de véhicule, des données d'alimentation électrique d'un dispositif d'alimentation cible dans un système de gestion thermique à commander et des données de température de capteur correspondant au dispositif d'alimentation cible ; lorsqu'il est déterminé que les données de température de capteur atteignent une valeur seuil de température prédéfinie, déterminer des données de signal de commande correspondant au dispositif d'alimentation cible ; entrer les données d'alimentation électrique et les données de signal de commande dans un modèle de simulation de système pour ledit système de gestion thermique, de façon à obtenir des données de température calculées par modèle au moyen du modèle de simulation de système ; et, en fonction des données de température de capteur et des données de température calculées par modèle, commander ledit système de gestion thermique.
PCT/CN2023/097069 2022-05-31 2023-05-30 Procédé et appareil de commande pour système de gestion thermique de véhicule, dispositif et support WO2023232017A1 (fr)

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