Control Strategy and Simulation analysis of Hybrid Electric Vehicle

Optimizing of multi-energy powertrain control strategy was the key technique of hybrid electric vehicle. Three kind structure of HEV and their control strategy were investigated, series hybrid electric vehicle, parallel hybrid electric vehicle, and PSHEV. Considering about driving cycle of CYC_NEDC and CYC_HWFET, three control strategy such as electric assistant control, adaptive control strategy and genetic algorithms control were simulated based on advisor to analysis vehicle performance. The results of simulation indicated that the fuel consumption economics and exhaust character were improved by using genetic algorithms control. In CYC_NEDC, compared with electric assistant control, fuel consumption economics was improved 47.4%, HC decreased 6.2%, CO decreased 4.6%, and NOx decreased 7.7%. Compared with adaptive control strategy, fuel consumption economics was improved 20.4%, HC decreased 0.6%, CO decreased 29.5%, and NOx decreased 13.5%.In CYC_HWFET, same results were achieved.