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作 者:赵令聪 孙宾宾[1] 张铁柱 赵玉祥 ZHAO Lingcong;SUN Binbin;ZHANG Tiezhu;ZHAO Yuxiang(School of Transportation and Vehicle Engineering,Shandong University of Technology,Zibo Shandong 255000,China)
机构地区:[1]山东理工大学交通与车辆工程学院,山东淄博255000
出 处:《电源技术》2021年第7期932-935,963,共5页Chinese Journal of Power Sources
基 金:国家自然科学基金项目(51805301);山东省自然科学基金项目(ZR2019BEE043);山东省重点研发计划(国际科技合作)项目(2019GHZ016)。
摘 要:在分析增程式电动汽车电源特性的基础上,设计了由动力电池和超级电容组成的复合储能系统。以平衡峰值功率和高频暂态功率为目标,设计了基于模糊控制的可自适应调节小波分解层数的自适应小波变换控制策略,将需求功率分解为高频暂态信号和低频信号,分别分配给超级电容与动力电池。与基于规则的逻辑门限控制策略进行比较分析,结果表明:自适应小波变换控制策略能够有效降低峰值电流对动力电池的冲击,抑制电压波动,提高电能质量;将超级电容SOC控制在理想值0.7附近,充分发挥其“削峰填谷”的作用。Based on the analysis of the characteristics of the power supply of the extended-range electric vehicle,a power storage system composed of a super battery and a supercapacitor was designed.With the goal of balancing peak power and high frequency transient power a wavelet transform control strategy based on fuzzy control was designed,which could adaptively adjust the number of wavelet decomposition levels.The power demand was decomposed into high frequency transient signal and low frequency signal,which were allocated to super capacitor and power battery respectively.Compared with the logic threshold control strategy,the results show that the adaptive wavelet transform energy management strategy can effectively reduce the impact of the peak current on the power battery,suppress the voltage fluctuation,and improve the power quality;the supercapacitor SOC is controlled near the ideal value of 0.7,which can fully play the role of peak cutting and valley filling.
关 键 词:增程式电动汽车 复合储能系统 控制策略 自适应小波变换
分 类 号:TM921.5[电气工程—电力电子与电力传动]
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