Optimization of fixed point control strategy for incremental electric vehicle based on Isight
The traditional rule energy management strategy developed based on expert experience and engineering experience can not adapt to the complex driving conditions of the current extended-range vehicle.In order to more accurately control the range extender vehicle and achieve better fuel economy,considering the influence of the engine operating point switching rule in the engine fixed-point control strategy of the range extender,Cruise was used to establish a vehicle model.Isight explore the impact of engine working point switching rules on vehicle fuel consumption by optimizing its parameters,and compare its fuel consumption of 100 km.The research results showed that after optimization,the fuel consumption of 100 km under NEDC condition was reduced by 3.51%;The fuel consumption per 100 km under WLTC condition was reduced by 7.3%;The fuel consumption per 100 km under mixed conditions was reduced by 8.5%.This study provides a new method for the optimization of the fixed-point control strategy of the incremental vehicle and verifies its feasibility.
fuel economyIsightCruisefixed point controlmulti-island genetic algorithm
NETL
NSTL
万方数据
维普
