复合储能纯电动汽车能量管理策略研究

Research on the energy management strategy of pure electric vehicles with composite energy storage

运行工况是影响纯电动汽车经济性的重要因素,提出了一种应用于锂电池-飞轮电池复合储能纯电动汽车的基于支持向量机(SVM)与小波变换(WT)的自适应小波能量管理策略,在支持向量机模型对汽车行驶工况进行实时识别的基础上,采用不同的小波分解层数对整车需求功率进行分解,将高频分量与低频分量分别交给飞轮电池与锂电池承担。与采用固定分解层数的传统小波能量管理策略进行了对比,仿真结果表明:自适应小波能量管理策略降低了高频电流对锂电池的冲击,抑制了锂电池温升,提高了纯电动汽车的经济性。

Operating conditions are an important factor affecting the economy of pure electric vehicles.Therefore,an adaptive wavelet energy management strategy based on support vector machine(SVM) and wavelet transform(WT) was proposed for lithium battery-flywheel battery hybrid energy storage pure electric vehicle was proposed.Based on the support vector machine model for real-time identification of vehicle driving conditions,different wavelet decomposition layers are used to decompose the required power of the entire vehicle,and the high-frequency components and low-frequency components are respectively borne by the flywheel battery and the lithium battery.Compared with the traditional wavelet energy management strategy that uses a fixed number of decomposition layers,the simulation results show that the adaptive wavelet energy management strategy effectively reduces the impact of high-frequency current on the lithium battery,suppresses the temperature rise of the lithium battery,and improves the economy of pure electric vehicles.