Abstract:Aiming at improving the online performance for a battery/ultracapacitor hybrid energy storage system (HESS) in electric vehicles, an online adaptive energy management strategy (EMS) was proposed. Firstly, the second-order Markov chain model was employed to improve the speed prediction accuracy of vehicle driving cycles. Then, the objective function of the HESS was established, and the framework of model predictive control (MPC) algorithm was designed to optimize the power distribution of the system online. To improve system efficiency under different driving cycles, an adaptive correction factor was employed in the optimization objective function. Compared with the rule-based strategy, the energy consumption of the HESS based on the proposed adaptive EMS is significantly reduced. Compared to the rule strategy and the MPC strategy with a first-order Markov chain model and a fixed reference factor, the system efficiency under the proposed method in the 5s prediction horizon is improved by 3.3% and 0.9%, respectively.
陈欢, 林程, 熊瑞. 车用复合电源系统在线自适应能量管理[J]. 电工技术学报, 2020, 35(zk2): 644-651.
Chen Huan, Lin Cheng, Xiong Rui. Online Adaptive Energy Management Strategy for a Hybrid Energy Storage System in Electric Vehicles. Transactions of China Electrotechnical Society, 2020, 35(zk2): 644-651.
[1] Xiong Rui, Chen Huan, Wang Chun, et al.Towards a smarter hybrid energy storage system based on battery and ultracapacitor-a critical review on topology and energy management[J]. Journal of Cleaner Production, 2018, 202: 1228-1240. [2] 颜宁, 潘霄, 张明理, 等. 基于复合储能的多互联微电网日内调度研究[J]. 电工技术学报, 2018, 33(增刊2): 577-585. Yan Ning, Pan Xiao, Zhang Mingli, et al.Research on intra-day dispatch of multi-connected microgrids based on hybrid energy storage[J]. Transactions of China Electrotechnical Society, 2018, 33(S2): 577-585. [3] 李亚楠, 王倩, 宋文峰, 等. 混合储能系统平滑风电出力的变分模态分解-模糊控制策略[J]. 电力系统保护与控制, 2019, 47(7): 58-65. Li Yanan, Wang Qian, Song Wenfeng, et al.Variational mode decomposition and fuzzy control strategy of hybrid energy storage for smoothing wind power outputs[J]. Power System Protection and Control, 2019, 47(7): 58-65. [4] 付菊霞, 陈洁, 滕扬新, 等. 基于集合经验模态分解的风电混合储能系统能量管理协调控制策略[J]. 电工技术学报, 2019, 34(10): 2038-2046. Fu Juxia, Chen Jie, Teng Yangxin, et al.Energy management coordination control strategy for wind power hybrid energy storage system based on EEMD[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 2038-2046. [5] 诸斐琴, 杨中平, 林飞, 等. 基于加速时间预测的现代有轨电车储能系统能量管理与容量配置优化研究[J]. 电工技术学报, 2017, 32(23): 158-166. Zhu Feiqin, Yang Zhongping, Lin Fei, et al.Research on acceleration-time-prediction-based energy management and optimal sizing of onboard energy storage system for modern trams[J]. Transactions of China Electrotechnical Society, 2017, 32(23): 158-166. [6] 周美兰, 冯继峰, 张宇, 等. 纯电动客车复合储能系统功率分配控制策略研究[J]. 电工技术学报, 2019, 34(23): 5001-5013. Zhou Meilan, Feng Jifeng, Zhang Yu, et al, Research on power allocation control strategy for compound electric energy storage system of pure electric bus[J]. Transactions of China Electrotechnical Society, 2019, 34(23): 5001-5013. [7] Gomozov O, Trovao J, Kestelyn X, et al.Adaptive energy management system based on a real-time model predictive control with non-uniform sampling time for multiple energy storage electric vehicle[J]. IEEE Transactions on Vehicular Technology, 2017, 66(7): 5520-5530. [8] Shen Junyi, Khaligh A.A supervisory energy management control strategy in a battery/ ultracapacitor hybrid energy storage system[J]. IEEE Transactions on Transportation Electrification, 2015, 1(3): 223-231. [9] Golchoubian P, Azad N.Real-time nonlinear model predictive control of a battery-supercapacitor hybrid energy storage system in electric vehicles[J]. IEEE Transactions on Vehicular Technology, 2017, 66(11): 9678-9688. [10] 李峰, 杨中平, 王玙, 等. 基于庞特里亚金极小值原理的混合储能有轨电车能量管理策略[J]. 电工技术学报, 2019, 34(增刊2): 752-759. Li Feng, Yang Zhongping, Wang Yu, et al.Energy management strategy of tram with hybrid energy storage system based on pontryagin’s minimum principle[J]. Transactions of China Electrotechnical Society, 2019, 34(S2): 752-759. [11] Liu Yonggang, Li Jie, Chen Zheng, et al.Research on a multi-objective hierarchical prediction energy management strategy for range extended fuel cell vehicles[J]. Journal of Power Source, 2019, 429: 55-66. [12] Hredzak B, Agelidis V G, Demetriades G, et al.Application of explicit model predictive control to a hybrid battery-ultracapacitor power source[J]. Journal of Power Sources, 2015, 277: 84-94. [13] 王琪, 孙玉坤, 罗印升. 混合动力电动汽车的复合电源功率分配控制策略[J]. 电工技术学报, 2017, 32(18): 143-151. Wang Qi, Sun Yukun, Luo Yinsheng.A power distribution control strategy of hybrid energy storage system in hybrid electric vehicles[J]. Transactions of China Electrotechnical Society, 2017, 32(18): 143-151. [14] Momayyezan M, Abeywardana D, Hredzak B, et al.Integrated reconfigurable configuration for battery/ultracapacitor hybrid energy storage systems[J]. IEEE Transactions on Energy Conversion, 2016, 31(4): 1583-1590. [15] 肖智明, 陈启宏, 张立炎. 电动汽车双向DC-DC变换器约束模型预测控制研究[J]. 电工技术学报, 2018, 33(增刊2): 489-498. Xiao Zhiming, Chen Qihong, Zhang Liyan.Constrained model predictive control for bidirectional DC-DC converter of electric vehicles[J]. Transactions of China Electrotechnical Society, 2018, 33(S2): 489-498. [16] Xiong Rui, Yu Quanqing, Wang Leyi, et al.A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter[J]. Applied Energy, 2017, 207: 346-353. [17] 卫志农, 原康康, 成乐祥, 等. 基于多新息最小二乘算法的锂电池参数辨识[J]. 电力系统自动化, 2019, 43(15): 139-145. Wei Zhinong, Yuan Kangkang, Cheng Lexiang, et al.Parameter identification of lithium-ion battery based on multi-innovation least squares algorithm[J]. Automation of Electric Power Systems, 2019, 43(15): 139-145. [18] Xiong Rui, Cao Jiayi, Yu Quanqing.Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle[J]. Applied Energy, 2018, 211: 538-548. [19] 彭剑坤. 插电式混合动力公交车工况构建和变时域预测能量管理[D]. 北京: 北京理工大学, 2016. [20] 牛峰, 韩振铎, 黄晓艳, 等. 永磁同步电机模型预测磁链控制[J]. 电机与控制学报, 2019, 23(3): 34-41. Niu Feng, Han Zhenduo, Huang Xiaoyan, et al.Model predictive flux control for permanent magnet synchronous motor[J]. Electric Machines and Control, 2019, 23(3): 34-41.