CN-122009143-A - Energy management strategy optimization method and device for hybrid electric vehicle

CN122009143ACN 122009143 ACN122009143 ACN 122009143ACN-122009143-A

Abstract

The application provides a method and a device for optimizing an energy management strategy of a hybrid electric vehicle, and relates to the field of vehicle energy control, wherein the method comprises the steps of acquiring real-time running state data of the vehicle; the method comprises the steps of respectively calculating a plurality of power source torque distribution combinations in a parallel mode and a series mode based on preset power system parameters and real-time running state data, determining corresponding equivalent fuel consumption values based on the power source torque distribution combinations, selecting a minimum equivalent fuel consumption value from the equivalent fuel consumption values corresponding to the power source torque distribution combinations, and taking the power source torque distribution combination corresponding to the minimum equivalent fuel consumption value as an optimal control strategy. According to the application, the running state of the vehicle is obtained in real time, the torque distribution combination of the series-parallel mode is accurately calculated, the minimum equivalent fuel consumption is solved, the running working condition can be dynamically matched, and the instantaneous optimal energy distribution of the power source is realized.

Inventors

BU YINGHAO
HE YANZE
LIU ZHIJUAN
Ling Xicheng

Assignees

奇瑞汽车股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260408

Claims (10)

1. A method for optimizing an energy management strategy of a hybrid vehicle, the method comprising: Acquiring real-time running state data of a vehicle; Based on preset power system parameters and the real-time running state data, respectively determining a plurality of power source torque distribution combinations in a parallel mode and a series mode; determining corresponding equivalent fuel consumption values for any power source torque distribution combination based on the power source torque distribution combination; And selecting a minimum equivalent fuel consumption value from equivalent fuel consumption values corresponding to the power source torque distribution combinations, and taking the power source torque distribution combination corresponding to the minimum equivalent fuel consumption value as an optimal control strategy.
2. The method of claim 1, wherein the operating state data includes at least wheel end demand torque, vehicle speed, and battery state of charge.
3. The method of claim 2, wherein determining a plurality of power source torque distribution combinations in parallel mode based on preset powertrain parameters and the real-time operating state data comprises: Determining the corresponding rotating speeds of the power sources respectively based on the vehicle speed and the preset transmission ratios of different power sources and wheels; determining a motor torque range of the driving motor according to the corresponding rotating speeds of the power sources; determining upper and lower limit boundaries of engine torque based on the wheel end required torque and the motor torque range; and determining a plurality of power source torque distribution combinations in a parallel mode according to the upper and lower limit boundaries of the engine torque.
4. The method of claim 3, wherein determining a plurality of power source torque distribution combinations in a series mode based on preset powertrain parameters and the real-time operating state data comprises: determining the actual output torque output by a driving motor based on the vehicle speed, preset transmission ratios of different power sources and wheels and the wheel end required torque; Determining the torque of a generator according to preset transmission ratios of different power sources and wheels; A plurality of power source torque distribution combinations in a series mode are generated based on the engine torque, the actual output torque, and the generator torque.
5. The method of claim 1, wherein determining a corresponding equivalent fuel consumption value based on the power source torque distribution combination comprises: and processing the determined instantaneous oil consumption, the determined electric energy equivalent fuel consumption and the determined engine starting penalty to obtain the equivalent fuel consumption value.
6. The method of claim 5, wherein the electrical energy equivalent fuel consumption is obtained by processing the determined battery demand power, the dynamically adjusted equivalent factor, and the battery internal power loss, and wherein the dynamically adjusting the equivalent factor comprises: And comparing the battery state of charge with a target track, and adjusting an equivalent factor between the electric energy and the fuel oil according to proportional, integral and derivative terms of the deviation so as to maintain the battery state of charge within a preset range.
7. The method of claim 1, wherein after combining the power source torque distributions corresponding to the minimum equivalent fuel consumption values as an optimal control strategy, the method further comprises: Outputting target torque of the engine according to the index corresponding to the optimal control strategy, and judging the start-stop state of the engine according to the torque value; If the engine is in a start state, a series mode request signal or a parallel mode request signal is output according to the parity of the index.
8. A hybrid vehicle energy management strategy optimization device, the device comprising: The acquisition unit is used for acquiring real-time running state data of the vehicle; The determining unit is used for respectively determining a plurality of power source torque distribution combinations in a parallel mode and a series mode based on preset power system parameters and the real-time running state data; And determining a corresponding equivalent fuel consumption value for any power source torque distribution combination based on the power source torque distribution combination; the selecting unit is used for selecting the minimum equivalent fuel consumption value from the equivalent fuel consumption values corresponding to the power source torque distribution combinations, and taking the power source torque distribution combination corresponding to the minimum equivalent fuel consumption value as an optimal control strategy.
9. An electronic device, characterized in that the electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are in communication with each other through the communication bus; a memory for storing a computer program; a processor for implementing the method steps of any of claims 1-7 when executing a program stored on a memory.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored therein a computer program which, when executed by a processor, implements the method steps of any of claims 1-7.

Description

Energy management strategy optimization method and device for hybrid electric vehicle Technical Field The application relates to the field of automobile energy control, in particular to a method and a device for optimizing an energy management strategy of a hybrid electric vehicle. Background The hybrid electric vehicle integrates a double power source of an internal combustion engine and a motor, the energy distribution under different running conditions directly determines the fuel economy of the whole vehicle, and an energy management strategy is a core technology for realizing efficient coordination of the power sources. The current main stream energy management strategy is characterized in that a fixed control rule is formulated by depending on experience, the implementation is simple, the working condition adaptability is poor, dynamic optimization cannot be achieved, global optimal energy distribution is difficult to achieve, and the problems of complex calculation, poor instantaneity and the like exist in the traditional optimization algorithm although theoretical optimization can be achieved. Disclosure of Invention The embodiment of the application aims to provide a method and a device for optimizing an energy management strategy of a hybrid electric vehicle, which are used for solving the problems existing in the prior art, can be matched with the running condition of the vehicle in real time, accurately select an optimal power distribution scheme and effectively improve the fuel economy and the energy utilization efficiency of the hybrid electric vehicle. In a first aspect, a method for optimizing an energy management strategy of a hybrid vehicle is provided, the method may include: Acquiring real-time running state data of a vehicle; Based on preset power system parameters and the real-time running state data, respectively determining a plurality of power source torque distribution combinations in a parallel mode and a series mode; determining corresponding equivalent fuel consumption values for any power source torque distribution combination based on the power source torque distribution combination; And selecting a minimum equivalent fuel consumption value from equivalent fuel consumption values corresponding to the power source torque distribution combinations, and taking the power source torque distribution combination corresponding to the minimum equivalent fuel consumption value as an optimal control strategy. In one possible implementation, the operating state data includes at least wheel end demand torque, vehicle speed, and battery state of charge. In one possible implementation, determining a plurality of power source torque distribution combinations in parallel mode based on preset powertrain parameters and the real-time operating state data includes: Determining the corresponding rotating speeds of the power sources respectively based on the vehicle speed and the preset transmission ratios of different power sources and wheels; determining a motor torque range of the driving motor according to the corresponding rotating speeds of the power sources; determining upper and lower limit boundaries of engine torque based on the wheel end required torque and the motor torque range; and determining a plurality of power source torque distribution combinations in a parallel mode according to the upper and lower limit boundaries of the engine torque. In one possible implementation, determining a plurality of power source torque distribution combinations in a series mode based on preset powertrain parameters and the real-time operating state data includes: determining the actual output torque output by a driving motor based on the vehicle speed, preset transmission ratios of different power sources and wheels and the wheel end required torque; Determining the torque of a generator according to preset transmission ratios of different power sources and wheels; A plurality of power source torque distribution combinations in a series mode are generated based on the engine torque, the actual output torque, and the generator torque. In one possible implementation, calculating the corresponding equivalent fuel consumption value based on the power source torque distribution combination includes: processing the determined instantaneous oil consumption, the determined electric energy equivalent fuel consumption and the determined engine starting penalty to obtain an equivalent fuel consumption value; in one possible implementation, the electric energy equivalent fuel consumption is obtained by processing the determined battery demand power, the dynamically adjusted equivalent factor and the battery internal power loss, and the dynamic adjustment process of the equivalent factor comprises the following steps: And comparing the battery state of charge with a target track, and adjusting an equivalent factor between the electric energy and the fuel oil according to proportional, integral and derivative terms