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• W68113071 abstract "Significant research efforts are being made to understand, and ultimately mitigate, thedegradation of Li-ion batteries upon usage. Currently, battery ageing models are used inorder to optimise the battery usage and to achieve robust battery solutions. The purposewith this work is to obtain deeper understanding of the ageing factors for high-powergraphite || LiFePO4 cells and to develop a semi-empirical ageing model suitable for usein the full-vehicle simulations.Extensive laboratory tests of commercially available graphite || LiFePO4 cells wereconducted with special focus on high charge and discharge rates at temperaturesbetween +23 °C and +53 °C. Furthermore, cells were aged according to measured andsimulated load profiles from heavy-duty HEVs and PHEVs. The results were analysedusing ex situ techniques such as incremental analysis and fitted towards half-cellsvoltage profiles. Specifically, ageing tests with 4 C-rate charge rate in combination with1 C-rate discharge, and cycles with pauses between steps, were found to degrade thecells significantly faster than cycles with 4 C-rate in both charge and discharge. Thisbehaviour was also observed for the PHEV cycles with charging at 4 C-rate. In addition,post mortem analyses were performed on selected cells, both on electrodes andelectrolytes, suggesting that the electrode degradation is unevenly distributed.A segmented 1D semi-empirical lumped-circuit cell model was designed and coupled toa state-of-health ageing algorithm based on the test results. This model wassubsequently used to forecast ageing rates and showed promising results for HEV loadcycles, indicating that the cell degradation is unevenly distributed with the most severeageing occurring close to the separator. In contrast, the model could not forecast theageing accurately for some specific cases with high charge rates combined with lowdischarge rates, indicating that additional ageing mechanisms must be included tomodel the ageing at such severe load conditions." @default.
• W68113071 created "2016-06-24" @default.
• W68113071 creator A5024236945 @default.
• W68113071 date "2014-01-01" @default.
• W68113071 modified "2023-09-24" @default.
• W68113071 title "State-of-Health Estimation of Li-ion Batteries: Ageing Models" @default.
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• W68113071 hasPublicationYear "2014" @default.
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