西安交通大学机械制造系统工程国家重点实验室,西安,710049
网络首发:2015-12-10,
纸质出版:2015
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王斌, 徐俊, 曹秉刚, 等. 电动汽车的多模式复合电源能量管理自适应优化[J]. 西安交通大学学报, 2015,49(12):130-136.
Adaptive Optimization of Energy Management Strategy for a Multi-Mode Hybrid Energy Storage System in Electric Vehicles[J]. 2015, 49(12): 130-136.
王斌, 徐俊, 曹秉刚, 等. 电动汽车的多模式复合电源能量管理自适应优化[J]. 西安交通大学学报, 2015,49(12):130-136. DOI: 10.7652/xjtuxb201512021.
Adaptive Optimization of Energy Management Strategy for a Multi-Mode Hybrid Energy Storage System in Electric Vehicles[J]. 2015, 49(12): 130-136. DOI: 10.7652/xjtuxb201512021.
为提高电动汽车的多模式复合电源系统效率
提出一种能量管理自适应优化方法。对多模式复合电源工作模式进行分析
设计超级电容自适应参考电压。建立复合电源系统效率优化目标函数
并结合电池荷电状态和超级电容电压设计电池输出功率补偿规则和能量管理自适应优化方法。搭建多模式复合电源系统仿真模型和测试平台进行测试。测试结果表明:在UDDS和NEDC路况下
与滞环控制相比
采用能量管理自适应优化的多模式复合电源系统效率分别提高1.13%和1.02%。采用能量管理自适应优化的多模式复合电源不仅能自适应选择工作模式和完成电池输出功率补偿
而且避免了电池输出功率突然增大
保证了电池安全。
An adaptive optimization method(ADM)for energy management strategy is proposed to improve the efficiency of the multi-mode hybrid energy storage system(HESS)in electric vehicles. The operating modes of the multi-mode HESS are first analyzed
and an adaptive reference voltage of the ultracapacitor(UC)is defined. The objective of optimization focuses on the efficiency of the overall system. And the compensation rules of the battery power output and the ADM for energy management strategy are designed by combining the battery state of charge(SOC)and the UC voltage. A simulation model and an experimental platform are then established. Compared with the multi-mode HESS with the hysteresis control strategy in the UDDS and the NEDC drive cycles show that the ADM improves the overall system efficiency of the multi-mode HESS up to 1.13% and 1.02%
respectively. The multi-mode HESS with the ADM for energy management strategy can not only achieve the adaptive selection of operating modes and the compensation of the battery power output
but also avoid the excessive power output of the battery
so the battery safety is ensured.
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王斌,徐俊,曹秉刚,等.采用模拟退火算法的电动汽车复合电源能量管理系统优化.2015,49(8):90-96.[doi:10.7652/xjtuxb201508015]
杨晴霞,曹秉刚,徐俊,等.一种估计锂电池充电状态的分数阶阻抗模型.2015,49(8):128-132.[doi:10.7652/xjtuxb2015 08021]
高建平,葛坚,赵金宝,等.复合电源系统功率分配策略研究.2015,49(7):17-24.[doi:10.7652/xjtuxb201507004]
袁希文,文桂林,周兵.考虑侧向稳定性的分布式电驱动汽车制动滑移率控制.2015,49(5):43-48.[doi:10.7652/xjtuxb 201505007]
许建,张政,李翔,等.独立驱动电动汽车横摆力矩的模糊控制算法.2014,48(7):83-89.[doi:10.7652/xjtuxb201407015]
续丹,王国栋,曹秉刚,等.独立驱动电动汽车的转矩优化分配策略研究.2012,46(3):42-46.[doi:10.7652/xjtuxb201203 008]
龙波,曹秉刚,胡庆滑,等.电动汽车用感应电机弱磁区电磁转矩最大化控制.2009,43(4):62-65.[doi:10.7652/xjtuxb 200904015]
曹秉刚,曹建波,李军伟,等.超级电容在电动车中的应用研究.2008,42(11):1317-1322.[doi:10.7652/xjtuxb200811 001]
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