CN-121973676-A - Cooperative control method and system for vehicle energy management and thermal management and vehicle
Abstract
The application provides a cooperative control method and system for vehicle energy management and thermal management and a vehicle. The vehicle includes a fuel cell and a power cell. The method comprises the steps of identifying the current working condition of the vehicle, controlling the vehicle according to a short-term working condition control mode when the vehicle is identified to be in a short-term working condition, wherein the method comprises the steps of predicting the speed change trend of the vehicle in a preset future time period, calculating the output power distribution of a fuel battery and a power battery in the preset future time period based on the speed change trend, predicting the heat load change trend of the vehicle in the preset future time period based on the output power distribution of the fuel battery and the power battery, performing energy management control on the vehicle based on the output power distribution of the fuel battery and the power battery in the preset future time period, and performing heat management control on the vehicle based on the heat load change trend in the preset future time period.
Inventors
- SUN YAN
- SHI JUNPING
Assignees
- 浙江吉利控股集团有限公司
- 浙江远程新能源商用车集团有限公司
Dates
- Publication Date
- 20260505
- Application Date
- 20260210
Claims (14)
- 1. A cooperative control method of energy management and thermal management of a vehicle, the vehicle including a fuel cell and a power cell, the method comprising: Identifying the current working condition of the vehicle; When the vehicle is identified to be in a short-term working condition, the vehicle is controlled according to a short-term working condition control mode, wherein the short-term working condition is a continuous working condition in a specific load, a running mode or a state in a preset short time, and the vehicle is controlled according to the short-term working condition control mode, which comprises the following steps: Predicting the speed change trend of the vehicle in a future preset time; calculating output power distributions of the fuel cell and the power cell for the future predetermined period of time based on the vehicle speed variation trend; predicting a thermal load change trend of the vehicle over the future predetermined period of time based on the output power distribution of the fuel cell and the power cell; The vehicle is energy management controlled based on the output power distribution of the fuel cell and the power cell for the future predetermined period of time, and the vehicle is thermal management controlled based on the thermal load variation trend for the future predetermined period of time.
- 2. The method of claim 1, wherein the method further comprises: And when the fact that the vehicle enters the instantaneous working condition is identified, the short-term working condition control mode is exited, and the speed of the vehicle is adjusted in real time.
- 3. The method according to claim 1, wherein said calculating an output power distribution of said fuel cell and said power cell for said predetermined future period based on said trend of change in vehicle speed comprises: Performing vehicle speed planning based on the vehicle speed change trend to obtain a planned vehicle speed track with optimal energy consumption; Output power distributions of the fuel cell and the power cell for the future predetermined time period are calculated based on the planned vehicle speed trajectory.
- 4. The method of claim 3, wherein the step of planning the vehicle speed based on the vehicle speed variation trend comprises the steps of: Constructing a state transfer equation by taking a vehicle longitudinal force as a control variable and a vehicle speed as a state variable, wherein the vehicle longitudinal force comprises a vehicle driving force and a vehicle braking force; discretizing the control variable and the state variable; based on the speed change trend, taking the minimum total energy consumption in the driving process as a target, traversing the value of a control variable corresponding to each discrete state variable in state transition through a dynamic programming algorithm and/or a forward enumeration method to finally obtain the planned speed track with optimal energy consumption.
- 5. The method of claim 3, wherein said calculating an output power distribution of said fuel cell and said power cell for said predetermined length of time based on said planned vehicle speed trajectory comprises: determining an energy demand trajectory based on the planned vehicle speed trajectory; establishing a total utility function of the power cell based on the durability; establishing a total utility function of the fuel cell based on economy and durability; Output power distribution of the fuel cell and the power cell for the future predetermined period of time is obtained based on the maximization of the total utility function of the power cell and the total utility function of the fuel cell and the energy demand trace.
- 6. The method of claim 5, wherein said establishing a total utility function of the power cell based on durability comprises: establishing a utility function of the deviation between the output power of the power battery and the average output power; establishing a utility function of power fluctuation of the power battery; and obtaining the total utility function of the power battery based on the weight sum of the utility function of the deviation of the output power from the average output power and the utility function of the power fluctuation.
- 7. The method of claim 5, wherein said establishing a total utility function of the fuel cell based on economy and durability comprises: establishing an economic-related utility function of the fuel cell; establishing a utility function of the fuel cell with respect to durability; a total utility function of the fuel cell is derived based on a weighted sum of the utility function of the economy and the utility function of the durability.
- 8. The method of claim 5, wherein said deriving an output power distribution of said fuel cell and said power cell for said predetermined length of time based on a maximization of a total utility function of said power cell and a total utility function of said fuel cell and said energy demand trajectory comprises: Converting a dual-objective maximization function of the total utility function of the power cell and the total utility function of the fuel cell into a single-objective minimization function; under a preset constraint condition, solving an optimal solution of the single-objective minimization function to obtain respective output powers of the fuel cell and the power cell, The preset constraint condition comprises that each weight coefficient in the single target minimization function is in the range of 0 to 1, the sum of the weight coefficients is equal to 1, the sum of the output power of each fuel cell and the output power of each power cell meets the energy demand track, and the output power of each fuel cell and the output power of each power cell are in the maximum range.
- 9. The method according to claim 1, wherein predicting a thermal load change trend of the vehicle over the future predetermined period of time based on the output power distribution of the fuel cell and the power cell comprises: constructing a thermal load dynamic prediction model; And obtaining the thermal load change trend of the vehicle in the future preset time based on the thermal load dynamic prediction model according to historical thermal load data, meteorological characteristic data, output power distribution of the fuel cell and the power cell in the future preset time and vehicle operation characteristics.
- 10. The method of claim 1, wherein said thermally managing said vehicle based on said trend of thermal load change over said predetermined future period of time comprises: Controlling whether to trigger an advanced regulation strategy based on the thermal load change trend within the future predetermined time period comprises: When the predicted heat load of the component is in a continuous descending trend, the rotating speed of the cooling water pump and/or the cooling fan is reduced in advance; When the waste heat quality of the fuel cell is predicted to be reduced in the waste heat utilization loop, a heater in the power cell loop is started in advance to heat the power cell, and meanwhile, the heater in the cab warm air loop is started to ensure the heating temperature of the cab; and when the residual heat of the fuel cell is predicted to continuously keep high quality, reducing or closing the heaters in the power cell loop and the cab warm air loop in advance.
- 11. The method of claim 1, wherein said thermally managing said vehicle based on said trend of thermal load change over said predetermined future period of time comprises: when the waste heat of the fuel cell is in a high grade, the waste heat of the fuel cell is controlled to heat circulating water of a warm air loop of a cab through a first heat exchanger; when the waste heat of the fuel cell is at the medium grade, the waste heat of the fuel cell is controlled to preheat the power cell through a second heat exchanger; When the waste heat of the fuel cell is in a low grade, the waste heat of the fuel cell is controlled to preheat hydrogen through a third heat exchanger, wherein the fuel cell takes the hydrogen as fuel, the waste heat temperature of the fuel cell in a high grade is higher than that of the fuel cell in a medium grade, and the waste heat temperature of the fuel cell in the medium grade is higher than that of the fuel cell in the low grade.
- 12. The method of claim 1, wherein said thermally managing said vehicle based on said trend of thermal load change over said predetermined future period of time comprises: controlling whether to trigger a hysteresis compensation strategy based on the thermal load trend and a current thermal load value, including: When the heat load of the component is predicted to be in a steady trend, the rotation speed of the cooling water pump and/or the cooling fan in the cooling circuit is finely adjusted based on the difference between the current heat load value and the target value.
- 13. A vehicle energy management and thermal management cooperative control system, characterized by comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to implement the steps of the vehicle energy management and thermal management cooperative control method according to any of claims 1 to 12.
- 14. A vehicle comprising a coordinated control system for vehicle energy management and thermal management according to claim 13.
Description
Cooperative control method and system for vehicle energy management and thermal management and vehicle Technical Field The application relates to the technical field of vehicles, in particular to a cooperative control method and system for vehicle energy management and thermal management and a vehicle. Background The thermal management system of the fuel cell vehicle can ensure that each part of the fuel cell vehicle works in an optimal temperature range, improve the working reliability and safety, and further realize the improvement of the performance of the whole vehicle system and the improvement of the whole vehicle economy. The prior art mainly aims at single fuel cell vehicle energy management or single thermal management, and lacks research on coupling of fuel cell vehicle energy management and thermal management. Disclosure of Invention The embodiment of the application aims to provide a cooperative control method and system for vehicle energy management and thermal management and a vehicle, which can perform cooperative control on the vehicle energy management and thermal management so as to make the energy management and thermal management better. One aspect of the embodiment of the application provides a cooperative control method and system for vehicle energy management and thermal management and a vehicle. The vehicle includes a fuel cell and a power cell. The method comprises the steps of identifying the current working condition of a vehicle, controlling the vehicle according to a short-term working condition control mode when the vehicle is identified to be in a short-term working condition, wherein the short-term working condition is a continuous working condition under a specific load, a running mode or a state in a preset short time, the vehicle is controlled according to the short-term working condition control mode, the vehicle speed change trend of the vehicle in a preset future time period is predicted, the output power distribution of the fuel cell and the power cell in the preset future time period is calculated based on the vehicle speed change trend, the thermal load change trend of the vehicle in the preset future time period is predicted based on the output power distribution of the fuel cell and the power cell, and the vehicle is subjected to energy management control based on the output power distribution of the fuel cell and the power cell in the preset future time period. Further, the method further comprises the step of exiting the short-term working condition control mode when the fact that the vehicle enters the instant working condition is recognized, and the speed of the vehicle is adjusted in real time. Further, calculating the output power distribution of the fuel cell and the power cell in the future preset time based on the vehicle speed change trend comprises the steps of planning the vehicle speed based on the vehicle speed change trend to obtain a planned vehicle speed track with optimal energy consumption, and calculating the output power distribution of the fuel cell and the power cell in the future preset time based on the planned vehicle speed track. The vehicle speed trajectory planning method comprises the steps of obtaining a vehicle speed trajectory with optimal energy consumption, wherein the vehicle speed trajectory planning method comprises the steps of taking a vehicle longitudinal force as a control variable and taking a vehicle speed as a state variable, constructing a state transition equation, discretizing the control variable and the state variable, taking the minimum total energy consumption in a driving process as a target based on the vehicle speed variation trend, and traversing the value of the control variable corresponding to each discretized state variable in the state transition by a dynamic planning algorithm and/or a forward enumeration method so as to finally obtain the planned vehicle speed trajectory with optimal energy consumption. Further, the calculating of the output power distribution of the fuel cell and the power cell within the future predetermined time period based on the planned vehicle speed track includes determining an energy demand track based on the planned vehicle speed track, establishing a total utility function of the power cell based on durability, establishing a total utility function of the fuel cell based on economy and durability, and obtaining the output power distribution of the fuel cell and the power cell within the future predetermined time period based on maximization of the total utility function of the power cell and the total utility function of the fuel cell and the energy demand track. Further, the method for establishing the total utility function of the power battery based on the durability comprises the steps of establishing a utility function of deviation between output power and average output power of the power battery, establishing a utility function of power fluctuation of the power battery