Insulation Resistance Monitoring Algorithm for Battery Pack in Electric Vehicle Based on Extended Kalman Filtering

Chuanxue Song, Yulong Shao, Shixin Song, Silun Peng, Fang Zhou, Cheng Chang and Da Wang
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Chuanxue Song: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
Yulong Shao: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
Shixin Song: School of Mechanical Science and Engineering, Jilin University; Changchun 130022, China
Silun Peng: Department of Automotive Engineering, College of Automotive Engineering, Jilin University, Changchun 130022, China
Fang Zhou: Department of Automotive Engineering, College of Automotive Engineering, Jilin University, Changchun 130022, China
Cheng Chang: Department of Automotive Engineering, College of Automotive Engineering, Jilin University, Changchun 130022, China
Da Wang: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China

Energies, 2017, vol. 10, issue 5, 1-13

Abstract: To improve the accuracy of insulation monitoring between the battery pack and chassis of electric vehicles, we established a serial battery pack model composed of first-order resistor-capacitor (RC) circuit battery cells. We then designed a low-voltage, low-frequency insulation monitoring model based on this serial battery pack model. An extended Kalman filter (EKF) was designed for this non-linear system to filter the measured results, thus mitigating the influence of noise. Experimental and simulation results show that the proposed monitoring model and extended Kalman filtering algorithm for insulation resistance monitoring present satisfactory estimation accuracy and robustness.

Keywords: insulation resistance; first-order resistor-capacitor (RC) circuit; battery pack model; extended Kalman filtering (EKF); electric vehicle (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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