Open Access
Issue |
E3S Web Conf.
Volume 185, 2020
2020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|
|
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Article Number | 01040 | |
Number of page(s) | 3 | |
Section | Energy Engineering and Power System | |
DOI | https://doi.org/10.1051/e3sconf/202018501040 | |
Published online | 01 September 2020 |
- Lu L, Han X, Li J, Hua J, Ouyang M. A review on the key issues for lithium-ion battery management in electric vehicles. J Power Sources 2013; 226:272–88. [Google Scholar]
- Liu K, Li K, Peng Q, Zhang C. A brief review on key technologies in the battery management system of electric vehicles. Front Mech Eng 2019; 14:47–64. [Google Scholar]
- Coleman M, Hurley WG, Lee CK. An improved battery characterization method using a two-pulse load test. IEEE Trans Energy Convers 2008; 23: 708–13. [CrossRef] [Google Scholar]
- Hu X, Li S, Peng H. A comparative study of equivalent circuit models for Li-ion batteries. J Power Sources 2012; 198:359–67. [Google Scholar]
- Benini L, Castelli G, Macii A, Macii E, Poncino M, Scarsi R. Discrete-time battery models for system- level low-power design. IEEE Trans Very Large Scale Integr Syst 2001; 9:630–40. [CrossRef] [Google Scholar]
- Chen M, Rincón-Mora GA. Accurate electrical battery model capable of predicting runtime and I-V performance. IEEE Trans Energy Convers 2006;21:504–11. [CrossRef] [Google Scholar]
- Sarrafan K, Sutanto D, Muttaqi KM. An electric circuit based EV battery model for runtime prediction and state of charge tracking. 2017 IEEE Transp Electrif Conf ITEC-India 2017 2018;2018- Janua:1–6. [Google Scholar]
- Doyle M. Comparison of Modeling Predictions with Experimental Data from Plastic Lithium Ion Cells. J Electrochem Soc 1996. [Google Scholar]
- Zheng L, Zhang L, Zhu J, Wang G, Jiang J. Co- estimation of state-of-charge, capacity and resistance for lithium-ion batteries based on a high-fidelity electrochemical model. Appl Energy 2016. [Google Scholar]
- Xiong R, Li L, Li Z, Yu Q, Mu H. An electrochemical model based degradation state identification method of Lithium-ion battery for all- climate electric vehicles application. Appl Energy 2018; 219: 264–75. [Google Scholar]
- Nejad S, Gladwin DT, Stone DA. A systematic review of lumped-parameter equivalent circuit models for real-time estimation of lithium-ion battery states. J Power Sources 2016. [Google Scholar]
- Bi Y, Choe SY. An adaptive sigma-point Kalman filter with state equality constraints for online state- of-charge estimation of a Li (NiMnCo) O2/Carbon battery using a reduced-order electrochemical model. Appl Energy 2020. [Google Scholar]
- Rahimian SK, Rayman S, White RE. Comparison of single particle and equivalent circuit analog models for a lithium-ion cell. J Power Sources 2011; 196: 8450–62. [Google Scholar]
- Santhanagopalan S, Guo Q, Ramadass P, White RE. Review of models for predicting the cycling performance of lithium ion batteries. J Power Sources 2006; 156: 620–8. [Google Scholar]
- Li J, Wang D, Pecht M. An electrochemical model for high C-rate conditions in lithium-ion batteries. J Power Sources 2019; 436:226885. [Google Scholar]
- Li J, Wang L, Lyu C, Wang D, Pecht M. Parameter updating method of a simplified first principles- thermal coupling model for lithium-ion batteries. Appl Energy 2019. [Google Scholar]
- Yu Q, Xiong R, Lin C, et al. Lithium-ion Battery Parameters and State-of-Charge Joint Estimation Based on H infinity and Unscented Kalman Filters[J]. IEEE Transactions on Vehicular Technology, 2017, PP (99): 1–1. [Google Scholar]
- Zhang J, Wei Y, Li X, et al. Battery SOC estimation based on online parameter identification[J]. Diangong Jishu Xuebao/transactions of China Electrotechnical Society, 2014, 29:23–28. [Google Scholar]
- Xiong R, Core algorithm of battery management system for EVs, China Machine Press, 2018. [Google Scholar]
- Forman JC, Moura SJ, Stein JL, Fathy HK. Genetic identification and fisher identifiability analysis of the Doyle-Fuller-Newman model from experimental cycling of a LiFePO 4 cell. J Power Sources 2012; 210:263–75. [Google Scholar]
- Luo W, Lyu C, Wang L, Zhang L. A new extension of physics-based single particle model for higher charge-discharge rates. J Power Sources 2013; 241:295–310. [Google Scholar]
- Li J, Wang L, Lyu C, Liu E, Xing Y, Pecht M. A parameter estimation method for a simplified electrochemical model for Li-ion batteries. Electrochim Acta 2018; 275:50–8. [Google Scholar]
- Liu G, Ouyang M, Lu L, Li J, Hua J. A highly accurate predictive-adaptive method for lithium-ion battery remaining discharge energy prediction in electric vehicle applications. Appl Energy 2015;149:297–314. [Google Scholar]
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