CN-122008790-A - Vehicle thermal management method, medium, device and product
Abstract
The embodiment of the application discloses a thermal management method, medium, equipment and product of a vehicle, which are used for acquiring dynamic road section information and vehicle real-time information, determining heat demand information of the vehicle according to at least one of the dynamic road section information and the vehicle real-time information, wherein the heat demand information comprises predicted recoverable heat of one or more heat sources and predicted required heat of heat load, and controlling a multi-way valve matrix and/or a heater in the vehicle according to the heat demand information and the vehicle real-time information so as to transmit the heat of the heat sources and/or the heater to the heat load and/or a radiator. According to the embodiment of the application, the heat supply and demand are predicted through the dynamic road section information, the passive response lag is avoided, the heat is dynamically distributed through the multi-way valve matrix, the waste heat is utilized preferentially, the heater is supplemented when the heat is insufficient, the radiator is discharged when the heat is excessive, the energy consumption of the heater is reduced while the heat load requirement is met, and the low-temperature cruising and energy utilization efficiency are improved.
Inventors
- GUO XINGYUAN
Assignees
- 安徽智界新能源汽车有限公司
- 奇瑞汽车股份有限公司
Dates
- Publication Date
- 20260512
- Application Date
- 20260228
Claims (10)
- 1. A method of thermal management of a vehicle, comprising: acquiring dynamic road section information and vehicle real-time information; Determining heat demand information of the vehicle according to at least one of the dynamic road section information and the vehicle real-time information, wherein the heat demand information comprises predicted recoverable heat of one or more heat sources and predicted required heat of heat load; And controlling a multi-way valve matrix and/or a heater in the vehicle according to the heat demand information and the vehicle real-time information so as to transfer heat of the heat source and/or the heater to the heat load and/or the radiator.
- 2. The method of claim 1, wherein said determining heat demand information for a vehicle based on at least one of said dynamic road segment information and said vehicle real-time information comprises: determining a predicted scene of the vehicle according to the dynamic road section information; determining a predicted recoverable heat of the heat source from a predicted scenario of the vehicle; And determining the predicted required heat quantity of the thermal load according to the predicted scene of the vehicle and the real-time information of the vehicle.
- 3. The method of claim 2, wherein the determining the predicted recoverable heat of the heat source from the predicted scenario of the vehicle comprises: acquiring the operation parameters of the heat source; determining the heating efficiency of the heat source in the predicted scene according to the operation parameters; And determining predicted recoverable heat of the heat source in the predicted scene according to the heating efficiency.
- 4. The method of claim 2, wherein the thermal load comprises a battery and a cabin, the vehicle real-time information comprises an operating temperature of the battery, an environmental parameter of the cabin, and a user-set temperature, the determining the predicted required heat for the thermal load based on the predicted scene of the vehicle and the vehicle real-time information comprises: acquiring a target temperature of the battery; When the working temperature is smaller than the target temperature, determining a battery preheating demand required for heating the battery to the target temperature in a prediction scene according to a difference value between the working temperature and the target temperature; Determining a cabin heating demand required to maintain the cabin temperature at the user-set temperature in a predicted scenario according to the environmental parameter and the user-set temperature; and determining the predicted required heat quantity of the heat load in a predicted scene according to the battery preheating demand and the cabin heating demand.
- 5. The method of claim 2, wherein the vehicle real-time information includes real-time status data of the thermal load at a predicted time, the controlling a multi-way valve matrix and/or a heater in the vehicle to transfer heat of the heat source and/or the heater to the thermal load and/or a radiator according to the thermal demand information and the vehicle real-time information, comprising: Judging whether the predicted recoverable heat of one or more heat sources meets the predicted required heat of the heat load according to the heat demand information of the vehicle at the predicted time to obtain a supply and demand result, and determining a selected heat source from the one or more heat sources according to the supply and demand result and the predicted scene of the vehicle; generating an initial control strategy according to the supply and demand result; Controlling the multi-way valve matrix and/or the heater according to the initial control strategy; according to the heat demand information and the real-time state data, the initial control strategy is corrected in real time, and a target control instruction is generated; and adjusting the multi-way valve matrix and/or the heater according to the target control instruction.
- 6. The method of claim 5, wherein the controlling the multi-way valve matrix and/or the heater according to the initial control strategy comprises: generating a first initial control strategy for controlling the multi-way valve matrix and the heater to cause heat of the selected heat source and the heater to be transferred to the thermal load through the multi-way valve matrix when the predicted recoverable heat of the selected heat source is less than the predicted required heat of the thermal load; when the predicted recoverable heat of the selected heat source is greater than or equal to the predicted required heat of the heat load, a second initial control strategy is generated for controlling the multi-way valve matrix such that heat of the selected heat source is delivered to the heat load and the heat sink through the multi-way valve matrix.
- 7. The method of claim 5, wherein said generating a target control command by modifying said initial control strategy in real time based on said heat demand information and said real-time status data comprises: acquiring predicted state data of the thermal load under the action of the predicted required heat; Comparing the actual state data with the predicted state data to obtain a state deviation value; And correcting the initial control strategy according to the state deviation value to generate a target control instruction.
- 8. A storage medium storing computer instructions which, when executed by a computer, are adapted to carry out a method of thermal management of a vehicle according to any one of claims 1 to 7.
- 9. An electronic device comprising at least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of thermal management of a vehicle as claimed in any one of claims 1 to 7.
- 10. A computer program product comprising computer program/instructions which, when executed by a processor, implements a method of thermal management of a vehicle as claimed in any one of claims 1 to 7.
Description
Vehicle thermal management method, medium, device and product Technical Field The present application relates to a vehicle thermal management method, a storage medium, an electronic device and a computer program product. Background With the popularization of new energy automobiles, the complexity and the importance of the whole automobile heat management system are increasingly prominent. The air conditioner is a system with the greatest power consumption except the power, and the energy consumption directly influences the endurance mileage. Different from the traditional fuel oil vehicle which relies on the waste heat of an engine, the new energy vehicle needs to comprehensively arrange a plurality of subsystems such as a battery, a motor, an electric control system, a cabin air conditioner and the like. The related art only passively performs coordination control of each loop according to sensor data, so that even if a vehicle is used for a short time, the system needs to respond to the heating requirement, unnecessary energy consumption is caused, and especially in a low-temperature environment, cabin heating and battery heating can sharply shorten cruising. Therefore, how to efficiently recycle the waste heat generated by the vehicle heat source and directly use the waste heat for the heat load has important significance for improving the energy utilization efficiency of the whole vehicle and prolonging the low-temperature endurance mileage. Disclosure of Invention The embodiment of the application aims to provide a thermal management method, medium, equipment and product of a vehicle, which can solve the problems that unnecessary energy consumption and low endurance capacity are caused by coordination control of each loop according to sensor data in order to respond to heating requirements. In a first aspect, an embodiment of the present application provides a method for thermal management of a vehicle, the method including: acquiring dynamic road section information and vehicle real-time information; Determining heat demand information of the vehicle according to at least one of the dynamic road section information and the vehicle real-time information, wherein the heat demand information comprises predicted recoverable heat of one or more heat sources and predicted required heat of heat load; And controlling a multi-way valve matrix and/or a heater in the vehicle according to the heat demand information and the vehicle real-time information so as to transfer heat of the heat source and/or the heater to the heat load and/or the radiator. Optionally, the determining the heat demand information of the vehicle according to at least one of the dynamic road section information and the real-time information of the vehicle includes: determining a predicted scene of the vehicle according to the dynamic road section information; determining a predicted recoverable heat of the heat source from a predicted scenario of the vehicle; And determining the predicted required heat quantity of the thermal load according to the predicted scene of the vehicle and the real-time information of the vehicle. Optionally, the determining the predicted recoverable heat of the heat source according to the predicted scene of the vehicle includes: acquiring the operation parameters of the heat source; determining the heating efficiency of the heat source in the predicted scene according to the operation parameters; And determining predicted recoverable heat of the heat source in the predicted scene according to the heating efficiency. Optionally, the thermal load includes a battery and a cabin, the vehicle real-time information includes an operating temperature of the battery, an environmental parameter of the cabin, and a user-set temperature, and determining a predicted required heat of the thermal load according to a predicted scene of the vehicle and the vehicle real-time information includes: acquiring a target temperature of the battery; When the working temperature is smaller than the target temperature, determining a battery preheating demand required for heating the battery to the target temperature in a prediction scene according to a difference value between the working temperature and the target temperature; Determining a cabin heating demand required to maintain the cabin temperature at the user-set temperature in a predicted scenario according to the environmental parameter and the user-set temperature; and determining the predicted required heat quantity of the heat load in a predicted scene according to the battery preheating demand and the cabin heating demand. Optionally, the vehicle real-time information includes real-time status data of the thermal load at a predicted time, and the controlling the multi-way valve matrix and/or the heater in the vehicle according to the thermal demand information and the vehicle real-time information to transfer the heat of the heat source and/or the heater to the thermal load an