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Comparison of decomposition levels for wavelet transform based energy management in a plug-in hybrid electric vehicle
Journal of Cleaner Production ( IF 9.7 ) Pub Date : 2018-11-13 , DOI: 10.1016/j.jclepro.2018.11.082
Chun Wang , Rui Xiong , Hongwen He , Yongzhi Zhang , Weixiang Shen

A wavelet transform (WT)-based energy management strategy (EMS) is developed to reduce the damages caused by transient and peak power demands on batteries in plug-in hybrid electric vehicles. A hybrid energy storage system (HESS) consisting of a battery pack, an ultracapacitor pack and two DC/DC converters is established based on MATLAB/Simulink. The WT-based EMS with different decomposition levels is evaluated by using simulation under the New European Driving Cycle (NEDC). Comparison results show that the 3-decomposition-level based EMS is the optimal selection. The developed EMS is further evaluated by using simulation under three typical driving cycles including HWFET, WVUBUS and MANHATTAN. To validate the feasibility of the developed EMS, a hardware-in-the loop (HIL) test bench is constructed to simulate the EMS. The results indicate that the developed WT-based EMS with 3 decomposition levels achieves better accuracy performances.



中文翻译:

插电式混合动力汽车中基于小波变换的能量管理分解级别的比较

开发一种基于小波变换(WT)的能源管理策略(EMS),以减少由插电式混合动力电动汽车中的电池的瞬态和峰值功率需求所造成的损害。基于MATLAB / Simulink,建立了由电池组,超级电容器组和两个DC / DC转换器组成的混合储能系统(HESS)。通过使用新欧洲行驶周期(NEDC)下的仿真评估具有不同分解级别的基于WT的EMS。比较结果表明,基于三分解级别的EMS是最佳选择。通过在三个典型的驱动周期(包括HWFET,WVUBUS和MANHATTAN)下进行仿真,对开发的EMS进行了进一步评估。为了验证开发的EMS的可行性,构建了硬件在环(HIL)测试台以模拟EMS。

更新日期:2018-11-13
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