原文传递
State-of-health Monitoring of Lithium-ion Batteries by Identification Technology Based on Nonlinear Equivalent Circuit Model
| 题名： | State-of-health Monitoring of Lithium-ion Batteries by Identification Technology Based on Nonlinear Equivalent Circuit Model |
| 正文语种： | 中文 |
| 作者： | Zheng Ying Yao Zhenhui Hong Munan Liu Bo Yang Huiqian Wen Jin Cao Hongquan |
| 作者单位： | Changan Automobile Co.,Ltd. |
| 关键词： | state of health extended Kalman filter battery model BMS |
| 摘要： | A nonlinear equivalent circuit model for battery of electric vehicle is presented,taking into account the nonlinear effects of State of Charge,Capacity and other battery internal parameters.The emphasis of this paper is to calculate the battery capacity using two different methods.Battery test and data processing for model parameter identification uses EKF(Extended Kalman Filter)technolo-gy are discussed.Compared with the capacity calculated using a single method alone,convergence speed and accuracy are improved.The method mentioned in this paper has been used to estimate the accuracy of the SOH within 5%by the vehicle reliability test. |
| 会议日期： | 20171024 |
| 会议举办地点： | 上海 |
| 会议名称： | 第19届亚太汽车工程年会暨2017中国汽车工程学会年会 |
| 出版日期： | 1024-01-20 |
| 母体文献： | 第19届亚太汽车工程年会暨2017中国汽车工程学会年会论文集 |
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