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Battery Management Systems for Electric and Hybrid Vehicles

2024-07-18
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Book Title Battery Management Systems of Electric and Hybrid Electric Vehicles Topics of interest in this book include the significant challenges faced in the design of a BMS for EV/HEV. Equivalent models developed for several types of integrated Li-ion batteries take into account ambient temperature and aging effects. The book uses different current profiles to test the robustness of a Kalman filter type estimator of the battery state of charge. In addition, the BMS can integrate a real-time model-based sensor fault detection and isolation (FDI) scheme for degrading Li-ion batteries, which uses a recursive least squares (RLS) method to estimate the equivalent circuit model (ECM) parameters. This book will fully meet the needs of a large number of readers and experts in the field due to its attractive and scientific content and its wide openness in terms of practical applicability. This covers a variety of interesting aspects, especially related to the characteristics of commercial batteries, diagnosis and optimization of performance, experimental testing and statistical analysis, thermal modeling, and the implementation of the most appropriate high-precision Kalman filter type estimator to estimate the state of charge.

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