The Library
Constrained generalized predictive control of battery charging process based on a coupled thermoelectric model
Tools
Liu, Kailong, Li, Kang and Zhang, Cheng (2017) Constrained generalized predictive control of battery charging process based on a coupled thermoelectric model. Journal of Power Sources, 347 . pp. 145-158. doi:10.1016/j.jpowsour.2017.02.039 ISSN 0378-7753.
|
PDF
WRAP_Constrained generalized predictive control.pdf - Accepted Version - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (1471Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.jpowsour.2017.02.039
Abstract
Battery temperature is a primary factor affecting the battery performance, and suitable battery temperature control in particular internal temperature control can not only guarantee battery safety but also improve its efficiency. This is however challenging as current controller designs for battery charging have no mechanisms to incorporate such information. This paper proposes a novel battery charging control strategy which applies the constrained generalized predictive control (GPC) to charge a LiFePO4 battery based on a newly developed coupled thermoelectric model. The control target primarily aims to maintain the battery cell internal temperature within a desirable range while delivering fast charging. To achieve this, the coupled thermoelectric model is firstly introduced to capture the battery behaviours in particular SOC and internal temperature which are not directly measurable in practice. Then a controlled auto-regressive integrated moving average (CARIMA) model whose parameters are identified by the recursive least squares (RLS) algorithm is developed as an online self-tuning predictive model for a GPC controller. Then the constrained generalized predictive controller is developed to control the charging current. Experiment results confirm the effectiveness of the proposed control strategy. Further, the best region of heat dissipation rate and proper internal temperature set-points are also investigated and analysed.
Item Type: | Journal Article | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||||
Library of Congress Subject Headings (LCSH): | Hybrid electric vehicles , Electric vehicles -- Batteries, Algorithms | ||||||||||
Journal or Publication Title: | Journal of Power Sources | ||||||||||
Publisher: | Elsevier S.A. | ||||||||||
ISSN: | 0378-7753 | ||||||||||
Official Date: | 15 April 2017 | ||||||||||
Dates: |
|
||||||||||
Volume: | 347 | ||||||||||
Page Range: | pp. 145-158 | ||||||||||
DOI: | 10.1016/j.jpowsour.2017.02.039 | ||||||||||
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: | 12 February 2018 | ||||||||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC), Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC) | ||||||||||
Grant number: | EP/L001063/1 (EPSRC), 51361130153, 61673256, 61273040 (NSFC) |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year