Energies 2013, 6(6), 3082-3096; doi:10.3390/en6063082
Quantitative Analysis of Lithium-Ion Battery Capacity Prediction via Adaptive Bathtub-Shaped Function
1
School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK
2
School of Mechatronics Engineering, University of Electronic Science and Technology of China,Chengdu 611731, China
3
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences,Chongqing 401120, China
4
Kent Business School, University of Kent, Canterbury CT2 7PE, UK
5
Center for Advanced Life Cycle Engineering, University of Maryland, MD 20742, USA
*
Author to whom correspondence should be addressed.
Received: 23 April 2013 / Revised: 15 June 2013 / Accepted: 18 June 2013 / Published: 21 June 2013
(This article belongs to the Special Issue Li-ion Batteries and Energy Storage Devices)
Abstract
Batteries are one of the most important components in many mechatronics systems, as they supply power to the systems and their failures may lead to reduced performance or even catastrophic results. Therefore, the prediction analysis of remaining useful life (RUL) of batteries is very important. This paper develops a quantitative approach for battery RUL prediction using an adaptive bathtub-shaped function (ABF). ABF has been utilised to model the normalised battery cycle capacity prognostic curves, which attempt to predict the remaining battery capacity with given historical test data. An artificial fish swarm algorithm method with a variable population size (AFSAVP) is employed as the optimiser for the parameter determination of the ABF curves, in which the fitness function is defined in the form of a coefficient of determination (R2). A 4 x 2 cross-validation (CV) has been devised, and the results show that the method can work valuably for battery health management and battery life prediction. View Full-TextKeywords:
remaining useful life; battery capacity; lithium-ion batteries; adaptive bathtub-shaped function; mean average precision; mean standard deviation; swarm fish algorithm
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Chen, Y.; Miao, Q.; Zheng, B.; Wu, S.; Pecht, M. Quantitative Analysis of Lithium-Ion Battery Capacity Prediction via Adaptive Bathtub-Shaped Function. Energies 2013, 6, 3082-3096.
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