Multi-objective Energy Management Strategy for Hybrid Electric Vehicle Based on Particle Swarm Optimization

Abstract:

In order to reduce vehicle energy consumption and control battery state of charge(SOC) at the same time, a multi-objective energy management strategy based on particle swarm optimization (PSO) was proposed for a power-split HEV. The proposed strategy adopted a two-layer structure. The inner layer used the equivalent consumption minimization strategy (ECMS) that considered mode switching to optimize the operation mode and operating point, so as to achieve the goal of energy saving. The outer layer used PSO to optimize the equivalent factor iteratively to achieve the control of battery power. Then, a vehicle simulation model based on the real vehicle control strategy was used to verify the optimization effect. Simulation results show that, the energy management strategy combined with PSO and ECMS can achieve the dual goals of reducing vehicle energy consumption and controlling battery SOC.

Key words:hybrid electric vehicle;power-split hybrid system;energy management;particle swarm optimization;equivalent consumption minimization strategy