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Artificial intelligence applications in battery management systems and routing problems in electric vehicles /
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Angalaeswari, S., 1981-, editor. Deepa, T., 1978-, editor. Kumar, L. Ashok, editor. |
| 서명/저자사항 | Artificial intelligence applications in battery management systems and routing problems in electric vehicles /[edited by] S. Angalaeswari, T. Deepa, L. Ashok Kumar. |
| 형태사항 | 1 online resource (xx, 342 pages) : illustrations {chiefly color). |
| 총서사항 | Advances in computer and electrical engineering (ACEE) book series |
| 소장본 주기 | Added to collection customer.56279.3 |
| ISBN | 1668466333 9781668466339 |
| 일반주기 |
"Premier reference source"--Cover.
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| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | Section 1. Battery management systems. Chapter 1. Importance of battery pack design and battery management systems in electric vehicles ; Chapter 2. Battery monitoring system and SOC enhancement analysis using artificial intelligence techniques ; Chapter 3. Control of cell voltage difference balancing in battery management system charging circuits in electric vehicles ; Chapter 4. Design and evaluation of battery management systems for electric vehicle applications with Harris Hawk optimized algorithm (HHOA) based on fuzzy logic controller -- Section 2. Electric vehicles: modelling and control. Chapter 5. Electric vehicles and their types ; Chapter 6. Modelling and simulation of e-bikes driven by BLDC motors ; Chapter 7. Enhancement of suspension performance of the vehicle model using sliding mode controllers ; Chapter 8. Active suspension control of full car model using bat optimized PID controller -- Section 3. Analytics in electric vehicles. Chapter 9. Intelligent demand and supply of electrical vehicles ; Chapter 10. Data analytics in electric vehicles ; Chapter 11. Autonomous electric vehicles and edge computing -- Section 4. Latest trends in electric vehicles. Chapter 12. Vehicle-to-grid and electric vehicle-integrated demand response management ; Chapter 13. Hybrid optimization based on genetic routing and scheduling scheme with secure transmission in wireless sensor networks ; Chapter 14. Thermal management system for batteries in electric vehicles. |
| 요약 | "The Handbook of Research on 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 major reference work is ideal for government officials, industry professionals, policymakers, researchers, scholars, practitioners, academicians, instructors, and students"-- |
| 일반주제명 | Electric vehicles -- Batteries. Battery management systems. Lithium ion batteries -- Mathematical models. Batteries au lithium-ion -- Mode?les mathe?matiques. Battery management systems Electric vehicles -- Batteries |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Artificial intelligence applications in battery management systems and routing problems in electric vehiclesHershey, PA : Business Science Reference, [2023]9781668466315 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3554233 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00023589 | 629.22/93 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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