基于智能控制的锂电池快速充电方法研究
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摘要
针对电动汽车不能实现快速的电能补充以及电池充电过程中存在的非线性、时变性和不确定性导致充电过程不稳定的问题。本文设计了一种基于模糊自适应PID控制的快速充电方法,在充电过程中引入了电压降补偿,并分别对锂电池充电系统的电流内环和电压外环进行控制,使实际充电曲线更加接近马斯曲线。理论分析和仿真实验表明,该充电方法加快了蓄电池充电速度,且具有稳定性好等优点。
Because rapid power supplement of electric vehicles can not be achieved and nonlinear, time-varying and uncertainty in the process of battery charging lead to the problem of unstable charging process, an improved fast charging method based on fuzzy adaptive PID algorithm is designed. During the charging process, the voltage drop compensation is introduced, and the inner loop of current and the outer loop of voltage of the lithium battery charging system are controlled respectively, which makes the charging curve closer to the Mas charging curve. The theoretical analysis and simulation results show that the charging method can accelerate the charging speed of the battery, and has the advantages of good stability and high charging efficiency.
Because rapid power supplement of electric vehicles can not be achieved and nonlinear, time-varying and uncertainty in the process of battery charging lead to the problem of unstable charging process, an improved fast charging method based on fuzzy adaptive PID algorithm is designed. During the charging process, the voltage drop compensation is introduced, and the inner loop of current and the outer loop of voltage of the lithium battery charging system are controlled respectively, which makes the charging curve closer to the Mas charging curve. The theoretical analysis and simulation results show that the charging method can accelerate the charging speed of the battery, and has the advantages of good stability and high charging efficiency.
引文
[1] 潘盛辉,丁修乘,郭毅锋.锂离子动力电池脉冲快速充电实验研究[J]. 电源技术,2016, 40(6):1172-1175.
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[5] 高春兰,谢青松,李延强,等.基于锂离子动力电池的分阶段脉冲充电法研究[J].电器与能效管理技术, 2016,10(18):50-55.
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[10] BRIZ F,DEGNER M W.Analysis and design of current regulators using complex vectors[J].IEEE Transactions on Industrial Applications,2000,36(3):817-825.
[11] 温银堂,贺晙华,王洪斌,等.基于模糊自适应PID算法的改进三段式蓄电池快速充电系统[J]. 清华大学学报:自然科学版,2014,54(7): 952-958.
[12] 孙莉莉,李自成,雷永锋.基于模糊自适应 PID 算法的快速充电系统设计[J].自动化与仪表,2015, 30(4):69-72.
[2] 陈浩,郭利进,李辉.电动汽车铅酸蓄电池智能充电及其策略[J]. 电子科技,2012,25(11):79-81.
[3] 杨亚丽,马晓军,曾凡果,等.基于模糊控制的军用铅酸蓄电池充电控制技术[J]. 装甲兵工程学院学报,2011, 25(1):79-82.
[4] 何亮明, 杜翀.基于压降补偿的锂离子电池恒流充电方法[J]. 电源技术, 2015, 39(6):1155-1157.
[5] 高春兰,谢青松,李延强,等.基于锂离子动力电池的分阶段脉冲充电法研究[J].电器与能效管理技术, 2016,10(18):50-55.
[6] 郭宏榆,姜久春,王吉松,等.功率型锂离子动力电池的内阻特性[J].北京交通大学学报,2011,35(5):119-123.
[7] 汤依伟,艾亮,程昀等.锂离子动力电池高倍率充放电过程中弛豫行为的仿真[J].物理学报,2016,65(5):1-9.
[8] NOH M.H, THIVEL P.X, LEFROU C. at al.Fast-charging of lithium iron phosphate battery with ohmic-drop compensation method.Original Research Article Journal of Energy Storage,2016,11(8):160-167.
[9] 邓卫华,张波,丘东元,等.三相电压型 PWM 整流器状态反馈精确线性化解耦控制研究[J].中国电机工程学报,2005,25(7):97-103.
[10] BRIZ F,DEGNER M W.Analysis and design of current regulators using complex vectors[J].IEEE Transactions on Industrial Applications,2000,36(3):817-825.
[11] 温银堂,贺晙华,王洪斌,等.基于模糊自适应PID算法的改进三段式蓄电池快速充电系统[J]. 清华大学学报:自然科学版,2014,54(7): 952-958.
[12] 孙莉莉,李自成,雷永锋.基于模糊自适应 PID 算法的快速充电系统设计[J].自动化与仪表,2015, 30(4):69-72.