Distributed Battery Management System in Battery Electric Vehicle

Yuan Liao; Ju Hua Huang; Qun Zeng

doi:10.4028/www.scientific.net/AMR.201-203.2427

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 201-203Distributed Battery Management System in Battery...

Distributed Battery Management System in Battery Electric Vehicle

Abstract:

According to the features of lithium ion battery packs, a distributed battery management system (BMS) for battery electric vehicle (BEV) is designed in this article. The BMS consists of a master module with several sampling modules. The kernel of master module is TMS320C2812 digital signal processor, and the kernel of sampling module is P87C591 singlechip. The main functions of master module include estimation of state of charge (SOC) and security management of lithium ion battery packs, and the main functions of sampling module include battery information collection and CAN bus based communication. SOC estimation method based on Extended Kalman filtering (EKF) theory is adopted in this article to precisely estimate the SOC of lithium ion battery packs.

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Advanced Manufacturing Systems, ICMSE 2011

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Periodical:

Advanced Materials Research (Volumes 201-203)

Pages:

2427-2430

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.201-203.2427

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Online since:

February 2011

Authors:

Yuan Liao, Ju Hua Huang, Qun Zeng

Keywords:

Battery Electric Vehicle (BEV), Battery Management System (BMS), Digital Signal Processing (DSP), Distributed System, State of Charge Estimation

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References

[1] Qingquan Chen etc. Modern technology of electric vehicle [M]. Peking: Press of Peking Technology University, (2002).

Google Scholar

[2] Darren Lim, Adnan Anbuky. A distributed industrial battery management network [J]. IEEE Transactions on Industrial Electronics, 2004, 51(6): 1181-1193.

DOI: 10.1109/tie.2004.837870

Google Scholar

[3] Chengtao Lin, Junping Wang, Quanshi Chen. Methods for state of charge estimation of EV batteries and their application [J]. Battery Bimonthly, 2004, 34(5): 376-378. (In Chinese).

Google Scholar

[4] Wenhua Huang, Xiaodong Han, Quanshi Chen, et al. A study on SOC estimation algorithm and battery management system for electric vehicle [J]. Automotive Engineering, 2007, 29(3): 198-202. (In Chinese).

Google Scholar

[5] Zhixian Wang. Optimal estimation of status and system recognition [M]. Xi'an: Northwestern Polytechnical University, (2004).

Google Scholar

[6] Guoguang Qi et al. Research of measuring technology of electric quantity of electric vehicle [J]. Transaction of Tsinghua University (Natural Science), 1997, 37(3).

Google Scholar