EconPapers    
Economics at your fingertips  
 

Remaining discharge energy estimation for lithium-ion batteries based on future load prediction considering temperature and ageing effects

Xin Lai, Yunfeng Huang, Huanghui Gu, Xuebing Han, Xuning Feng, Haifeng Dai, Yuejiu Zheng and Minggao Ouyang

Energy, 2022, vol. 238, issue PA

Abstract: The estimation of remaining discharge energy (RDE) of lithium-ion batteries is the basis for the remaining driving range estimation of electric vehicles. The RDE estimation is affected by many factors, such as battery future load, battery ageing and temperature. In this study, an RDE estimation method based on the future load prediction considering battery temperature and ageing effects is proposed. First, the hidden Markov model (HMM) is implemented to predict the future load of battery. Then, the capacity test at different temperatures is conducted to determine the limited state-of-charge (SOC) in the prediction field. Third, a forgetting factor recursive least square (FFRLS) algorithm is used to identify and update the battery model parameters online to address the parameter mismatch issue caused by battery ageing and temperature fluctuation. Finally, based on the predicted current, SOC, and voltage sequences, the RDE is estimated under different operation conditions. In particular, a battery simulation driving condition is constructed using the real vehicle speed to verify the effectiveness of the proposed method in complex conditions. The results demonstrate that the accuracy and robustness of the proposed method against various operation conditions and battery ageing are satisfactory.

Keywords: Lithium-ion batteries; Remaining discharge energy; Hidden Markov model; Future operating conditions prediction; Battery management system (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221020028
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:238:y:2022:i:pa:s0360544221020028

DOI: 10.1016/j.energy.2021.121754

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:238:y:2022:i:pa:s0360544221020028