Download the fantastic book titled Battery Management Algorithm for Electric Vehicles written by Rui Xiong, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Battery Management Algorithm for Electric Vehicles", which was released on 23 September 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Battery Management Algorithm for Electric Vehicles by Rui Xiong PDF
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.
Detail About Battery Management Algorithm for Electric Vehicles PDF
- Author : Rui Xiong
- Publisher : Springer Nature
- Genre : Technology & Engineering
- Total Pages : 310 pages
- ISBN : 981150248X
- Release Date : 23 September 2019
- PDF File Size : 17,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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