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Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles

Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles

Copyright: © 2023 |Pages: 342
ISBN13: 9781668466315|ISBN10: 1668466317|ISBN13 Softcover: 9781668466322|EISBN13: 9781668466339
DOI: 10.4018/978-1-6684-6631-5
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MLA

Angalaeswari, S., et al., editors. Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles. IGI Global, 2023. https://doi.org/10.4018/978-1-6684-6631-5

APA

Angalaeswari, S., Deepa, T., & Kumar, L. A. (Eds.). (2023). Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles. IGI Global. https://doi.org/10.4018/978-1-6684-6631-5

Chicago

Angalaeswari, S., T. Deepa, and L. Ashok Kumar, eds. Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-6631-5

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In today’s modern society, to reduce the carbon dioxide gas emission from motor vehicles and to save mother nature, electric vehicles are becoming more practical. As more people begin to see the benefits of this technology, further study on the challenges and best practices is required.

Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles focuses on the integration of renewable energy sources with the existing grid, introduces a power exchange scenario in the prevailing power market, considers the use of the electric vehicle market for creating cleaner and transformative energy, and optimizes the control variables with artificial intelligence techniques. Covering key topics such as artificial intelligence, smart grids, and sustainable development, this premier reference source is ideal for government officials, industry professionals, policymakers, researchers, scholars, practitioners, academicians, instructors, and students.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Computer and Electrical Engineering (ACEE) Book Series
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Editorial Advisory Board
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Preface
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Acknowledgment
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Chapters
Chapter 1
Battery Management Systems
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Electric Vehicles: Modelling and Control
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Chapter 3
Analytics in Electric Vehicles
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Chapter 4
Latest Trends in Electric Vehicles
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Back Materials
Compilation of References
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About the Contributors
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Index
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