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A comprehensive framework for lifetime battery aging assessment considering electric vehicle driving behavior and ambient conditions.

Number: 2131

Author(s) : SHELLY M. R., WEIBEL J. A., ZIVIANI D., GROLL E. A.

Summary

The optimization of battery electric vehicle thermal management systems (BEV TMS) operations should consider several performance objectives including energy efficiency, battery aging, system range, and cabin comfort. Studies investigating comprehensive boundary and initialization conditions are necessary to understand the impact of BEV TMS design, construction, and operation on these performance objectives. In this work, a dynamic model of a TMS incorporating waste heat recovery (WHR) from power electronics and the battery is used to investigate battery aging within a holistic boundary condition and initialization framework that accounts for vehicle conditioning before, during, and after a scheduled test. Parametric investigations are performed accounting for the conditioning and dwell of the vehicle prior to testing cycles, ambient conditions averaged across the United States, and lifetime data of typical light-duty vehicle behavior. These are then presented inside a binned framework established for gauging lifetime impact of the thermal management system on battery aging as a function of drive cycle intensity, the vehicle resting period, and ambient temperature.

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Pages: 11 p.

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  • Original title: A comprehensive framework for lifetime battery aging assessment considering electric vehicle driving behavior and ambient conditions.
  • Record ID : 30030481
  • Languages: English
  • Subject: Technology
  • Source: 2022 Purdue Conferences. 19th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Publication date: 2022/07/10

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