Vignesh, S. and Che, Hang Seng and Selvaraj, Jeyraj and Tey, Kok Soon (2024) State of health indicators for second life battery through non-destructive test approaches from repurposer perspective. Journal of Energy Storage, 89. p. 111656. ISSN 2352-152X, DOI https://doi.org/10.1016/j.est.2024.111656.
Full text not available from this repository.Abstract
Predicting State of Health (SoH) of Lithium-ion Battery (LiB) accurately is a challenge owing to modeling complexity, understanding the scope of degradation, tracking the record of battery usage and the ambient temperature where the battery is deployed. Though the methods for SoH estimation are extensively researched, the methods obtained till today, are valid for First Life Battery (FLB) and some of the process for SoH estimation is time-consuming in nature. This paper deals with SoH estimation of Second Life Battery (SLB) that are proven to be non-destructive. The prerequisites for SLB SoH estimation is precisely discussed along with the probable SoH indicators. Based on SoH estimated for SLB, the SoH indicators that could augurs well regarding the battery degradation is studied and ranked according to its significance on reliable indicator, and accuracy. In this paper, the End of Life (EoL) batteries from Nissan Leaf car were examined for SLB applications through non-destructive methods for predicting the SoH. The non-destructive methods reported in the literature such as capacity based approach, Incremental Capacity Differential Voltage (ICDV), Differential Voltage Incremental Capacity (DVIC), Integrated Voltage (IV), Constant Voltage Charging Process (CVCP), State of Charge (SoC) through nominal capacity, gradual current decrease, differential current, and Incremental Energy Analysis (IEA) were analyzed for streamlining the key parameters which can be a proven SoH indicator where in the key degradation insights about battery can be visualized from SLB perspective. Reference Performance Test (RPT) experiments were conducted on Nissan Leaf 2011 model, module level through PowerLab- 8. The battery test results are analyzed for SoH indicators with the help of non-destructive methods. The SoH ranges from 27% to 48% based on capacity as SoH indicator. The SoH through SoC from nominal capacity method replicates the same with the support of nominal capacity at FLB level. However ICDV, DVIC, IV, CVCP, IEA, gradual current decrease and differential current methods cater health indicators and its magnitude shall be related to the SoH obtained from the three modules tested named A, B and C. SoH depicts the deliverable capacity of the battery where among the modules tested, SoH order based on capacity is A > B > C. At SLB level, differentiation of strong and weak modules demand the definition of health indicators wherein module B is expected to be weaker than C despite possessing higher capacity than C. Priority based health indicators for charge and discharge scenarios are defined where module B's weakness is visible despite possessing higher discharge capacity than module C.
| Item Type: | Article |
|---|---|
| Funders: | UM Power Energy Dedicated Advanced Centre (UMPEDAC), Higher Institution Centre of Excellence (HICoE) Program Research Grant, UMPEDAC (MOHE HICOE-UMPEDAC), Ministry of Education Malaysia, Japan International Cooperation Agency for AUN/SEED-Net on Collaboration Education Program (UMPEDAC-2020); (UM CEP 1901), Japan ASEAN Collaborative Education Program (JACEP), University of Malaya (IF005-2021); (RU002-2021), Universiti Malaya Grant Research Program, Impact of Electric Vehicle Charging on Electrical Power Grid, University of Malaya (IIRG002C-2023) |
| Uncontrolled Keywords: | SoH health indicators; Second life battery; Non-destructive test approaches; Repurposer |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Computer System & Technology Institute of Advanced Studies |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 09 Jan 2025 03:22 |
| Last Modified: | 09 Jan 2025 03:22 |
| URI: | http://eprints.um.edu.my/id/eprint/46983 |
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