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

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 base...

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Bibliographic Details
Published inEnergies (Basel) Vol. 10; no. 5; p. 714
Main Authors Song, Chuanxue, Shao, Yulong, Song, Shixin, Peng, Silun, Zhou, Fang, Chang, Cheng, Wang, Da
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.05.2017
Subjects
Automobile industry
battery pack model
Chassis
Circuit design
Computer simulation
Economic models
Electric potential
electric vehicle
Electric vehicles
Extended Kalman filter
extended Kalman filtering (EKF)
first-order resistor-capacitor (RC) circuit
Insulation
insulation resistance
Kalman filters
Lithium
Monitoring
Noise
Noise prediction
Nonlinearity
Potassium channels (voltage-gated)
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en10050714