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| Research on Influence of Engine Management Strategy on Fuel Economy of Extended-Range Electric Vehicle |
| DOI：10.13949/j.cnki.nrjgc.2020.04.010 |
| Key Words:engine management strategy fuzzy control T-S fuzzy system Mamdani fuzzy system co-simulation fuel economy |
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| Abstract:In order to improve the fuel economy of extended-range electric vehicles, a fuzzy control management strategy based on the traditional fixed-point engine management strategy was proposed, and both management strategies were simulated. The drive system model of an extended-range electric vehicle was established with the CRUISE software, and the engine management strategy model was built with the Simulink software. In fuzzy logic controller, the T-S fuzzy system and Mamdani fuzzy system were used, and fuzzy control rules were developed. Co-simulation was carried out under the worldwide light duty test cycle（WLTC）conditions, and the results of the fuzzy control management strategy and fixed point management strategy were analyzed. The simulation results show that compared with the fixed-point management strategy, the engine management strategies based on the T-S fuzzy system and Mamdani fuzzy system improve the fuel economy of the extended-range electric vehicle by 12.52% and 10.60% respectively. The engine management strategy based on the T-S fuzzy system is better in terms of management effect and fuel economy. |
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