Insulation Resistance Monitoring Algorithm for Battery Pack in Electric Vehicle Based on Extended Kalman Filtering
| Autor: | Chang Cheng, Fang Zhou, Wang Da, Yulong Shao, Peng Silun, Chuanxue Song, Song Shixin |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Control and Optimization Chassis business.product_category 020209 energy Energy Engineering and Power Technology 02 engineering and technology Kalman filtering algorithm lcsh:Technology Automotive engineering Computer Science::Robotics Extended Kalman filter Robustness (computer science) Electric vehicle insulation resistance first-order resistor-capacitor (RC) circuit battery pack model extended Kalman filtering (EKF) electric vehicle 0202 electrical engineering electronic engineering information engineering Electronic engineering Hardware_INTEGRATEDCIRCUITS Electrical and Electronic Engineering Engineering (miscellaneous) Renewable Energy Sustainability and the Environment business.industry lcsh:T Kalman filter 021001 nanoscience & nanotechnology Battery pack 0210 nano-technology Insulation resistance business Energy (miscellaneous) |
| Zdroj: | Energies, Vol 10, Iss 5, p 714 (2017) Energies; Volume 10; Issue 5; Pages: 714 |
| ISSN: | 1996-1073 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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