Research on Degradation Modeling and Life Prediction Method of Lithium-Ion Battery in Dynamic Environment
Open Access
- 17 July 2019
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 7, 130638-130649
- https://doi.org/10.1109/access.2019.2929177
Abstract
Lithium-ion batteries are the main form of energy providers for electric vehicles. To ensure the reliability and the safety of electric vehicles, it is necessary to estimate the remaining useful life of lithium-ion batteries. Aiming at the strong nonlinear characteristics prevalent in the battery degradation process, this paper proposes a new method for predicting the remaining useful life of lithium-ion batteries based on stochastic model. A new nonlinear degradation model is established based on the diffusion process to characterize the degradation process in the lithium-ion batteries. The battery lifetime and the remaining useful life at any inspection cycle are defined based on the concept of the first hitting time, and the probability density functions of battery lifetime and remaining useful life are derived. Finally, the unknown parameters of the model are estimated by using the maximum likelihood estimation method and the historical data of battery degradation. Remaining useful life prediction experiments are performed based on two published data sets. The experimental results verify with the reliability and accuracy of the proposed method.Funding Information
- National Natural Science Foundation of China (61873175)
- Key Project B Class of the Beijing Natural Science Fund (KZ201710028028)
- Capacity Building for Sci-Tech Innovation—Fundamental Scientific Research Funds (025185305000-187)
- Capital Normal University
- Beijing Youth Talent Support Program (CIT&TCD201804036)
This publication has 37 references indexed in Scilit:
- Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo methodJournal of Power Sources, 2011
- A prognostics and health management roadmap for information and electronics-rich systemsMicroelectronics Reliability, 2010
- A two-stage prognosis model in condition based maintenanceEuropean Journal of Operational Research, 2007
- Threshold Regression for Survival Analysis: Modeling Event Times by a Stochastic Process Reaching a BoundaryStatistical Science, 2006
- Effects of overdischarge on performance and thermal stability of a Li-ion cellJournal of Power Sources, 2006
- Ageing mechanisms in lithium-ion batteriesJournal of Power Sources, 2005
- Main aging mechanisms in Li ion batteriesJournal of Power Sources, 2005
- High-temperature storage and cycling of C-LiFePO4/graphite Li-ion cellsElectrochemistry Communications, 2005
- Capacity fade of Sony 18650 cells cycled at elevated temperatures: Part I. Cycling performanceJournal of Power Sources, 2002
- On the transformation of diffusion processes into the Wiener processJournal of Mathematical Analysis and Applications, 1976