Energy control method and device based on driving working condition, equipment and storage medium

Abstract

The invention relates to the technical field of hybrid electric vehicles, and discloses an energy control method and device based on driving conditions, a storage medium and a device. The method comprises the following steps: acquiring current driving characteristic information of the hybrid electric vehicle; analyzing the current driving characteristic information to obtain driving condition category information; determining a preset target relation function according to the driving condition category information; searching a corresponding target equivalent factor through a preset equivalentfactor comparison table according to the preset target relation function; determining use proportion information of an engine and a motor in the hybrid electric vehicle according to the target equivalent factor, controlling the energy of the hybrid electric vehicle according to the use proportion information, so that real-time adjustment is performed according to different driving conditions through the target equivalent factor, instantaneous and global optimization of energy management is realized, and the energy-saving potential of the PHEV is brought into full play.

Description

technical field [0001] The invention relates to the technical field of hybrid electric vehicles, in particular to an energy control method, equipment, storage medium and device based on driving conditions. Background technique [0002] At present, the plug-in hybrid electric vehicle (Plug-in Hybrid Electric Vehicle, PHEV) energy management strategy includes a rule-based threshold control strategy (Rule-based control strategy, RB), which is mainly based on the designer's engineering experience and various The working characteristics of key power components are designed. The working process of this strategy is based on the steady-state efficiency map of each key power component, the current vehicle speed, the opening of the accelerator pedal, the remaining power (State Of Charge, SOC) value of the power battery, etc. A control variable is used to divide the hybrid system into working modes through a series of fixed thresholds. This strategy has the advantages of simple design...

AI Technical Summary

Problems solved by technology

However, the control threshold of the RB strategy is often a fixed set of thresholds, and the adaptability to working conditions is poor, which may cause the battery power to be "run out" in advance, or the battery power is not fully used at the end of the trip. Both will increase the fuel consumption of parallel PHEVs and worsen fuel economy

[0003] At present, many scholars have proposed PHEV energy consumption strategies based on optimal control theory, such as global optimization dynamic programming algorithm (Dynamic Programming, DP) and Pontryagin's Minimum Principal (PMP), etc., DP control strategy The global optimal solution of the power system control is mainly obtained under the premise of known driving conditions, but it requires a lot of calculations and takes a long time to solve, which leads to the fact that the DP control strategy cannot be directly used in real-time control. PMP The algorithm belongs to the instantaneous optimal control algorithm, which can achieve instantaneous optimal control, but it is not globally optimal when the working conditions change.

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