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| Home > Publications database > Uncertainty-aware state estimation for electrochemical model-based fast charging control of lithium-ion batteries |
| Journal Article | FZJ-2020-04845 |
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2020
Elsevier
New York, NY [u.a.]
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Please use a persistent id in citations: http://hdl.handle.net/2128/26354 doi:10.1016/j.jpowsour.2020.228221
Abstract: Fast charging capability is considered a critical factor for the widespread adoption of electric vehicles. Highcharging currents can, however, severely affect battery health due to the danger of metallic lithium deposition onthe anode and consequent degradation reactions. The charging speed should therefore be limited with respect tobattery temperature, state of charge, and cell design, governing the onset point of lithium plating. Electrochemicalmodels are a suitable tool providing continuous estimates of the anode potential as the main lithiumplating indicator while covering a wide operational range. In this article, we present a novel charging controlscheme based on a real-time capable simulation framework with adjustable model resolution. A profoundinvestigation of error sources and modeling uncertainties motivates online state corrections towards a lowerbound of the anode potential, which are realized by selective adjustments of the lithium distribution withinelectrode particles based on the full cell voltage error. Simulations of controlled and conventional CC chargingprofiles indicate the importance of continuously adapting the charging power for different operating conditions.Further, simulated state and parameter distortions as they might result from initialization and parameterizationerrors show that our estimation strategy can mitigate the risk of unsafe control operations.
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