Battery aging estimation for eco-driving strategy and electric vehicles sustainability

This paper presents a real-time capable battery aging estimation to enhance state-of-the-art eco-driving concept with battery maintenance strategy for potentially advancing electric vehicles (EV) sustainability. This methodology focuses not only on estimating battery aging according to the input parameters during driving and resting period but also optimizing withdrawn battery power. This is derived from applied control strategy for state of charge (SoC) and state of health (SoH) modeling. A systematic lithium-based battery model with temperature significance is established as the base of this methodology which is validated under actual operating conditions. The result indicates that eco-driving strategy is advanced by SoH in parallel with SoC estimation, also the optimization of withdrawn battery power might be further adapted to establish advanced driving range prediction. Particularly, the real-time implementation of this methodology might increase the awareness of EV drivers for preventing any accelerated battery aging.