基于模糊算法的纯电动汽车动力电池故障诊断研究
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摘要
动力电池作为纯电动汽车的核心部件,对整车的性能和安全有着重大影响,但复杂的工作环境严重影响电池的使用安全性和可靠性,在模糊算法数学理论的基础上,提出了磷酸铁锂电池组故障的模糊诊断方法,建立了对应的隶属度函数和模糊评判矩阵,并建立了模糊诊断模型,通过实例验证了所提出方法的可行性与准确性。
As the core component of pure electric vehicles, power batteries have a major impact on the performance and safety of the entire vehicle. The battery working environment is severe, which seriously affects the safety and reliability of the battery. Therefore, monitoring and diagnosis technologies of power batteries is gradually being taken seriously. Based on the fuzzy algorithm mathematics theory, the fuzzy diagnosis method of lithium iron phosphate battery pack failure is proposed, and the corresponding membership function and fuzzy evaluation matrix are established to establish a fuzzy diagnosis model. Finally, the feasibility and accuracy of the proposed method are verified.
As the core component of pure electric vehicles, power batteries have a major impact on the performance and safety of the entire vehicle. The battery working environment is severe, which seriously affects the safety and reliability of the battery. Therefore, monitoring and diagnosis technologies of power batteries is gradually being taken seriously. Based on the fuzzy algorithm mathematics theory, the fuzzy diagnosis method of lithium iron phosphate battery pack failure is proposed, and the corresponding membership function and fuzzy evaluation matrix are established to establish a fuzzy diagnosis model. Finally, the feasibility and accuracy of the proposed method are verified.
引文
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[2] 刘文杰,齐国光.基于模糊理论的电池故障诊断专家系统[J].吉林大学学报(信息科学版),2005,23(6):670 -674.
[3] 郑杭波,齐国光.电池组故障诊断模糊专家系统的研究[J].高技术通讯,2004,14(6):70-74.
[4] MUDDAPPA S,KUMAR V.Electrochemical model based condition monitoring of a li-ion battery using fuzzy logic[J].Dissertations & Theses - Gradworks,2014,28(10):2 393-2 402.
[5] 王一卉,姜长泓.模糊神经网络专家系统在动力锂电池组故障诊断中的应用[J].电测与仪表,2015,52(14):118-123.
[6] 古昂,张向文.基于RBF神经网络的动力电池故障诊断系统研究[J].电源技术,2016,40(10):1943-1945.
[7] 周强.基于模糊神经网络和遗传算法的故障诊断方法研究[D].大连:大连理工大学,2006.
[8] 李旭,徐心和.遗传算法在故障诊断专家系统中的应用[J].控制与决策,1998,13(4):377-380.
[9] 张威.基于RBF神经网络蓄电池管理系统的研究[D].北京:北京理工大学,2008.
[10] 方晓斌.汽车故障诊断模糊综合评判方法[J].浙江水利水电专科学校学报,2001(6):59-61.
[11] 曹金亮,陈修强,张春光,等.锂电池最新研究进展[J].电源技术,2013,37(8):1 460-1 463.
[12] 贾雪艳,槐创锋,刘平安.动力锂电池大电流放电性能测试分析[J].电源技术,2012(6):784 -786.