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Battery Management Algorithm for Electric Vehicles
Authors: ---
ISBN: 9789811502484 Year: 2020 Publisher: Singapore Springer Nature Singapore :Imprint: Springer

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Abstract

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.


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The Proceedings of the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022)
Authors: --- --- --- ---
ISBN: 9789819910274 9789819910267 9789819910281 9789819910298 Year: 2023 Publisher: Singapore Springer Nature Singapore :Imprint: Springer

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This book includes original, peer-reviewed research papers from the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022), held online, from December 3 to December 4, 2022. The topics covered include but are not limited to energy storage, power and energy systems, electrified/intelligent transportation, batteries and management, and power electronics. The papers share the latest findings in energy storage and intelligent vehicles, making the book a valuable asset for researchers, engineers, university students, etc.

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