@inproceedings{MayurWeissharBessler2017,
  author    = {Manik Mayur and Bj{\"o}rn Wei{\"s}har and Wolfgang G. Bessler},
  title     = {Simulation-based degradation assessment of lithium-ion batteries in a hybrid electric vehicle},
  series = {68th Annual Meeting of the International Society of Electrochemistry, Providence, USA (09/2017) : Book of Abstracts},
  pages     = {854},
  year      = {2017},
  abstract  = {The insufficient lifetime of lithium-ion batteries is one of the major cost driver for mobile applications. The battery pack in vehicles is one of the most expensive single components that practically must be excluded from premature replacement (i.e., before the life span of the other components end). Battery degradation is a complex physicochemical process that strongly depends on operating condition and environment. We present a simulation-based analysis of lithium-ion battery degradation during operation with a standard PHEV test cycle. We use detailed multiphysics (extended Newman-type) cell models that allow the assessment of local electrochemical potential, species and temperature distributions as driving forces for degradation, including solid electrolyte interphase (SEI) formation [1]. Fig. 1 shows an exemplary test cycle and the predicted resulting spatially-averaged SEI formation rate. We apply a time-upscaling approach to extrapolate the degradation analysis over long time scales, keeping physical accuracy while allowing end-of-life assessment [2]. Results are presented for lithium-ion battery cells with graphite/LFP chemistry. The behavior of these cells in terms of degradation propensity, performance, state of charge and other internal states is predicted during long-term cycling. State of health (SOH) is quantified as capacity fade and internal resistance increase as function of operation time.},
  language  = {en}
}