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Improved realtime state-of-charge estimation of LiFePO4 battery based on a novel thermoelectric model
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Zhang, Cheng, Li, Kang, Deng, Jing and Song, Shiji (2017) Improved realtime state-of-charge estimation of LiFePO4 battery based on a novel thermoelectric model. IEEE Transactions on Industrial Electronics, 64 (1). pp. 654-663. doi:10.1109/TIE.2016.2610398 ISSN 0278-0046.
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Official URL: http://dx.doi.org/10.1109/TIE.2016.2610398
Abstract
Li-ion batteries have been widely used in electric vehicles, and battery internal state estimation plays an important role in the battery management system. However, it is technically challenging, in particular, for the estimation of the battery internal temperature and state-ofcharge (SOC), which are two key state variables affecting the battery performance. In this paper, a novel method is proposed for real-time simultaneous estimation of these two internal states, thus leading to a significantly improved battery model for real-time SOC estimation. To achieve this, a simplified battery thermoelectric model is firstly built, which couples a thermal submodel and an electrical submodel. The interactions between the battery thermal and electrical behaviours are captured, thus offering a comprehensive description of the battery thermal and electrical behaviour. To achieve more accurate internal state estimations, the model is trained by the simulation error minimization method, and model parameters are optimized by a hybrid optimization method combining a meta-heuristic algorithm and the least square approach. Further, time varying model parameters under different heat dissipation conditions are considered, and a joint extended Kalman filter is used to simultaneously estimate both the battery internal states and time-varying model parameters in real time. Experimental results based on the testing data of LiFePO4 batteries confirm the efficacy of the proposed method.
Item Type: | Journal Article | ||||||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||||||
Library of Congress Subject Headings (LCSH): | Lithium ion batteries -- Thermomechanical properties, Electric vehicles -- Batteries, Algorithms, Thermoelectricity -- Mathematical mdoels, Electrochemistry | ||||||||||||
Journal or Publication Title: | IEEE Transactions on Industrial Electronics | ||||||||||||
Publisher: | IEEE | ||||||||||||
ISSN: | 0278-0046 | ||||||||||||
Official Date: | March 2017 | ||||||||||||
Dates: |
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Volume: | 64 | ||||||||||||
Number: | 1 | ||||||||||||
Page Range: | pp. 654-663 | ||||||||||||
DOI: | 10.1109/TIE.2016.2610398 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||||
Date of first compliant deposit: | 3 March 2017 | ||||||||||||
Date of first compliant Open Access: | 3 March 2017 | ||||||||||||
RIOXX Funder/Project Grant: |
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