Springer - Battery Management Algorithm for Electric Vehicles

Master the technical foundations of electric vehicle technology with this comprehensive guide from Springer. This book provides a systematic introduction to the core algorithms required for effective Battery Management Systems (BMS). It is designed to help readers navigate the primary technical bottlenecks found in modern BMS applications. Readers will gain a deep understanding of battery system modeling and essential estimation techniques, including State of Charge (SOC), State of Health (SOH), and State of Power (SOP). The text also covers advanced topics like Remaining Useful Life (RUL) prediction, low-temperature heating solutions, and charging optimization strategies. Beyond theoretical algorithms, this resource discusses the necessary background, experimental data, and hardware developments that bring these systems to life. It serves as a practical reference for anyone looking to understand the mathematical and physical processes that keep electric vehicle batteries running safely and efficiently.