Control Strategy and Simulation analysis of Hybrid Electric Vehicle

2007 8th International Conference on Electronic Measurement and Instruments Pub Date : 2007-10-22 DOI:10.1109/ICEMI.2007.4350451

Zhao Shupeng, Zhang Shifang, Xu Peng-yun, Lina Meng

引用次数: 17

Abstract

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.

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混合动力汽车控制策略及仿真分析

多能动力系统控制策略优化是混合动力汽车的关键技术。研究了串联式混合动力汽车、并联式混合动力汽车和PSHEV三种混合动力汽车结构及其控制策略。针对CYC_NEDC和CYC_HWFET的行驶工况，基于advisor对电动辅助控制、自适应控制和遗传算法控制三种控制策略进行了仿真，分析了车辆性能。仿真结果表明，采用遗传算法控制后，燃油经济性和排气特性得到了改善。在CYC_NEDC中，与电动辅助控制相比，燃油经济性提高47.4%，HC降低6.2%，CO降低4.6%，NOx降低7.7%。与自适应控制策略相比，燃油经济性提高20.4%，HC降低0.6%，CO降低29.5%，NOx降低13.5%。在CYC_HWFET中，获得了相同的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2007 8th International Conference on Electronic Measurement and Instruments

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