東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Artificial intelligence applications in battery management systems and routing problems in electric vehicles

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence applications in battery management systems and routing problems in electric vehicles/ [edited by] S. Angalaeswari, T. Deepa, L. Ashok Kumar.
其他作者:	Angalaeswari, S.,
出版者:	Hershey, Pennsylvania :IGI Global, : 2023.,
面頁冊數:	1 online resource (342 p.) :ill. (chiefly col.)
內容註:	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. Chapter12. 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.
標題:	Electric vehicles - Batteries. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-6631-5
ISBN:	9781668466339 (electronic bk.)

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[electronic resource] /[edited by] S. Angalaeswari, T. Deepa, L. Ashok Kumar. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (342 p.) :ill. (chiefly col.)

Includes bibliographical references and index.

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. Chapter12. 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.

"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"--

ISBN: 9781668466339 (electronic bk.)Subjects--Topical Terms:

2131825
Electric vehicles
--Batteries.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TL220 / .A776 2023e

Dewey Class. No.: 629.22/93

Artificial intelligence applications in battery management systems and routing problems in electric vehicles
LDR:03184nmm a2200265 a 4500 001 2339088
006 m d
007 cr nn muauu
008 240607s2023 paua fob 001 0 eng d
020 $a 9781668466339 (electronic bk.)
020 $a 1668466317
020 $a 9781668466315
035 $a (CaBNVSL)slc00004126
035 $a (OCoLC)1346622070
035 $a 00302887
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
041 0 $a eng
050 4 $a TL220 $b .A776 2023e
082 0 4 $a 629.22/93 $2 23
245 0 0 $a Artificial intelligence applications in battery management systems and routing problems in electric vehicles $h [electronic resource] / $c [edited by] S. Angalaeswari, T. Deepa, L. Ashok Kumar.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2023.
300 $a 1 online resource (342 p.) : $b ill. (chiefly col.)
504 $a Includes bibliographical references and index.
505 0 $a 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. Chapter12. 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.
520 $a "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"-- $c Provided by publisher.
650 0 $a Electric vehicles $x Batteries. $3 2131825
650 0 $a Battery management systems. $3 3443770
650 0 $a Lithium ion batteries $x Mathematical models. $3 3664966
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Angalaeswari, S., $d 1981-. $3 3675595
700 1 $a Deepa, T., $d 1978-. $3 3675596
700 1 $a Kumar, L. Ashok. $3 3449922
710 2 $a IGI Global. $3 1361470
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-6631-5