Screening of Retired Lithium-Ion Batteries Using Incremental Capacity Charging Curve-Based Residual Capacity Estimation Method for Facilitating Sustainable Circular Lithium-Ion Battery System
- 4 August 2021
- journal article
- research article
- Published by ASME International in Journal of Manufacturing Science and Engineering
- Vol. 144 (2), 1-16
- https://doi.org/10.1115/1.4051677
Abstract
The rapidly growing deployment of lithium-ion batteries in electric vehicles is associated with a great waste of natural resource and environmental pollution caused by manufacturing and disposal. Repurposing the retired lithium-ion batteries can extend their useful life, creating environmental and economic benefits. However, the residual capacity of retired lithium-ion batteries is unknown and can be drastically different owing to various working history and calendar life. In this study, we used the incremental capacity (IC) curve to estimate the residual capacity of waste power batteries. First, through experimental means, the parameters of the battery and the IC charging curve are measured. Second, to achieve rapid capacity estimation, a battery capacity estimation method based on the adaptive genetic algorithm-back propagation neural network (AGA-BPNN) is proposed and compared with other classic machine learning methods. The proposed algorithm reduced the error of capacity estimation to 3%. Finally, through the analysis of the IC curve, a method for identifying aging mechanism of large-scale decommissioned batteries is obtained. This research provides effective support for the capacity-based classification of large-scale decommissioned power batteries.Keywords
This publication has 39 references indexed in Scilit:
- Adaptive estimation of the electromotive force of the lithium-ion battery after current interruption for an accurate state-of-charge and capacity determinationApplied Energy, 2013
- On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regressionJournal of Power Sources, 2013
- The ability of battery second use strategies to impact plug-in electric vehicle prices and serve utility energy storage applicationsJournal of Power Sources, 2011
- Intelligent prognostics for battery health monitoring based on sample entropyExpert Systems with Applications, 2011
- Constraints of fossil fuels depletion on global warming projectionsEnergy Policy, 2011
- State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimationJournal of Power Sources, 2011
- Identify capacity fading mechanism in a commercial LiFePO4 cellJournal of Power Sources, 2009
- Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteriesApplied Energy, 2009
- Process for the recycling of alkaline and zinc–carbon spent batteriesJournal of Power Sources, 2008
- Degradation Mechanism and Life Prediction of Lithium-Ion BatteriesJournal of the Electrochemical Society, 2006