📖 The Scoop

This book systematically introduces readers to the core algorithms of battery management system (BMS) for electric vehicles. These algorithms cover most of the technical bottlenecks encountered in BMS applications, including battery system modeling, state of charge (SOC) and state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and optimization of charging. The book not only presents these algorithms, but also discusses their background, as well as related experimental and hardware developments. The concise figures and program codes provided make the calculation process easy to follow and apply, while the results obtained are presented in a comparative way, allowing readers to intuitively grasp the characteristics of different algorithms.

Given its scope, the book is intended for researchers, senior undergraduate and graduate students, as well as engineers in the fields of electric vehicles and energy storage.

Genre: Technology & Engineering / Power Resources / General (fancy, right?)

🤖Next read AI recommendation

Greetings, bookworm! I'm Robo Ratel, your AI librarian extraordinaire, ready to uncover literary treasures after your journey through "Battery Management Algorithm for Electric Vehicles" by Rui Xiong! 📚✨

Eureka! I've unearthed some literary gems just for you! Scroll down to discover your next favorite read. Happy book hunting! 📖😊

Reading Playlist for Battery Management Algorithm for Electric Vehicles

Enhance your reading experience with our curated music playlist. It's like a soundtrack for your book adventure! 🎵📚

🎶 A Note About Our Spotify Integration

Hey book lovers! We're working on bringing you the full power of Spotify integration. 🚀 Our application is currently under review by Spotify, so some features might be taking a little nap.

Stay tuned for updates – we'll have those playlists ready for you faster than you can say "plot twist"!