Research Of The Energy Management Control Strategy For Parallel Hybrid Electric Vehicle Based On Immune Genetic Algorithm

With the rapid development of automotive industry and the improvement of theliving standards, the amount of vehicles is also increasing year by year, and thetraditional fuel vehicles still occupy a monopoly position in the market. Widespread useof traditional fuel vehicles not only makes a rapid increase in automobile emissions, butalso brings the issues about the rapid depletion of oil resources, which forces people tore-develop a new clean fuel-efficient vehicle. In the current, the feasible implementingscheme is to develop the hybrid car.The energy management control strategy which is in charge of the energydistribution between he engine and the electric motor plays a key role in the developmentof the clean fuel vehicle. The parallel hybrid electric vehicle (HEV) is as the researchmodel and the distribution of the power source is as the research object in this paper. Onthe basis of this, the energy management control strategy and optimization of the modelis studied.The main work is as follows:The major components of parallel hybrid system are selected, and the parametersare matcced based on the ADVISOR. At the same time the dynamic model of the vehicleis established to complete the vehicle simulation model. The energy management controlstrategy and optimization is briefly analyzed, which lays the foundation for thesubsequent control strategies and optimization studies.Followed by the analysis of the energy flow patterns of the parallel hybrid electricvehicle, the energy mangement control strategy based on the rule is established inSimulink/stateflow environment. The multi-objective optimization design of the controlstrategy parameters such as minimum and maximum torque of the engine,the minimumoperating speed of the engine,and the upper and lower of battery SOC is carried outbased on the immune genetic algorithm(IGA).The torque difference, which is obtained by the difference between the requiretorque of engine and the current engine torque obtained by current speed Look-up tablemodule, and the SOC of the battery are as the input and the actual output torque of theengine is as the output to built fuzzy logic energy management control strategy.Themulti-objective optimization design about the fuzzy logic rules of the strategy isimplemented based on IGA.The simulation experiment which is using and none using the IGA is carried outunder the UDDS road driving cycle in ADVISOR. Compared with the simulation results,the hybird in which the IGA is applied to optimize control strategy based on rules andbased on fuzzy logic can reduce fuel consumption and pollutant emissions on the basis ofsatisfying the vehicle dynamic performance.