M. ZHENG, B. QI, H. WU, "A Li-ion battery management system based on CAN-bus for electric vehicle", ICIEA 2008. 3rd IEEE Conference on Industrial Electronics and Applications, 3-5 June 2008, pp. 1180-1184.
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Article : [PAP645]

Titre : M. ZHENG, B. QI, H. WU, A Li-ion battery management system based on CAN-bus for electric vehicle, ICIEA 2008. 3rd IEEE Conference on Industrial Electronics and Applications, 3-5 June 2008, pp. 1180-1184.

Cité dans : [PAP644]  E. ARMANDO, B. BOAZZO, P. GUGLIELMI, Bull-ET: an High Performance Electric Kart, EVER Monaco, 2011, 7 pages.
Auteur : Minxin Zheng
Auteur : Bojin Qi
Auteur : Hongjie Wu - Sch. of Mech. Eng. & Autom., Beijing Univ. of Aeronaut. & Astronaut., Beijing

Source : Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Date : 3-5 juin 2008
Pages : 1180 - 1184
ISBN : 978-1-4244-1717-9
INSPEC_Accession_Number : 10153477
DOI : 10.1109/ICIEA.2008.4582704
Lien : http://dx.doi.org/10.1109/ICIEA.2008.4582704
Lien : private/ZHENG-01.pdf - 5 pages, 576 Ko.
Vers : Bibliographie

Abstract :
A battery management system (BMS) based on the CAN-bus was designed for
the Li-ion battery pack which consisted of many series-connected battery
cells and was distributed dispersedly on the electric vehicle (EV). The
BMS consisted of one master module and several sampling modules. The
hardware design of the sampling circuit and the CAN expanding circuit
was introduced. The strategies of the battery SOC (state of charge)
estimation and the battery safety management were also presented.

IEEE_Index_Terms : Battery management systems , Battery powered vehicles , Electric vehicles , Engines , Environmental factors , Motorcycles , Pollution , Transportation , Vehicle safety , Voltage
INSPEC_Controlled_Indexing : air pollution control , battery management systems , battery powered vehicles , braking , cost reduction , engines , motorcycles , optimisation , overvoltage protection , petroleum , secondary cells , storage management
Non_Controlled_Indexing : Li , battery management system , braking , charge equalization , consumer market , cost reduction , drive performance , electric scooter , electric vehicles , energy storage capacity , gasoline-powered engines , monitoring , optimization , overvoltage protection , pollution , safety , undervoltage protection , urban transportation
Keywords : Batteries , electric vehicles (EVs)


Bibliographie

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References : 8
[1] : C. C. Chan, Fengchun Sun, and Jiaguang Zhu, Technology on Modern Electric Vehicles, Beijing: Beijing Institute of Technology Press, 2002, pp. 238-239
[2] : Akihiko Emori, Takuya Kinoshita, Hideki Miyazaki, Kazuyoshi Sasazawa, Toshisada Mitsui, Shigeyuki Yoshihara, et al. "Li-Mn Battery and its Control Technology for HEV Applications", in Proceedings of EVS-19, Busan, Korea, 2002, pp. 1837-1847
[3] : Xiaopeng Wang. A Modular Battery Management System, U.S.A.: The University of Toledo, 2001
[4] : Kuanming Wu, Theory and Application on the CAN-bus, Beijing: Bejing University of Aeronautics and Astronautics Press, 1996
[5] : S. Piller, M. Perrin, and A. Jossen, "Method for state-of-charge determination and their applications", Journal of Power Sources, vol. 96, pp. 113-120, June 2001
[6] : P. Singh, and D. Reisner. "Fuzzy logic-based state-of-health determination of lead acid batteries", in The 24th Annual International Telecommunications Energy Conference, 2002, pp. 583-590
[7] : C. H. Cai, D. Du, and Z. Y. Liu, "Battery state-of-charge (SOC) estimation using adaptive neuro-fuzzy inference system (ANFIS)", in The 12th IEEE International Conference on Fuzzy System, St. Louis, 2003, pp. 1068-1073
[8] : G. Plett, "Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation", Journal of Power Sources, vol. 134, pp. 277-292, August 2004


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