This paper presents a novel battery degradation model based on empirical data from the Racing Green Endurance project. Using the rainflow-counting algorithm, battery charge and discharge data from an electric vehicle has been studied in order to establish more reliable and more accurate predictions for capacity and power fade of automotive traction batteries than those currently available.It is shown that for the particular lithium-iron phosphate (LiFePO₄) batteries, capacity fade is 5.8% after 87 cycles. After 3,000 cycles it is estimated to be 32%. Both capacity and power fade strongly depend on cumulative energy throughput, maximum C-rate as well as temperature.
26,500km Down the Pan-American Highway in an Electric Vehicle A Battery's Perspective
Sae Int. J. Alt. Power
SAE 2012 World Congress & Exhibition ; 2012
Sae International Journal of Alternative Powertrains ; 1 , 1 ; 19-26
2012-04-16
8 pages
Conference paper
English
26,500km Down the Pan-American Highway in an Electric Vehicle A Battery's Perspective
British Library Conference Proceedings | 2012
|The Battery Management System for Electric Vehicle, Based on Estimating Battery's States
British Library Conference Proceedings | 1998
|Study on Power Battery's Performance Evaluation
British Library Conference Proceedings | 2004
|26500 km down the Pan-American Highway in an electric vehicle a batterys perspective
Automotive engineering | 2012
|Study on Power Battery's Performance Evaluation
SAE Technical Papers | 2004
|