Revolutionizing EV Performance Prediction: Non-Linear Battery Models and Real-World Urban
DOI:
https://doi.org/10.64252/92tz0087Keywords:
Transportation; Electric vehicle; Drive-cycle; Mathematical modelling; BatteriesAbstract
This paper unveils a transformative strategy for simulating electric vehicle (EV) functionality through the adoption of an elaborate battery framework that encapsulates non-linear discharge traits and exhaustive degradation processes. Diverging from earlier investigations that predominantly adopted linear discharge simplifications, this work formulates a computational platform to scrutinize EV range and battery endurance within a meticulously engineered urban driving cycle, rooted in empirical observations. Employing MATLAB/Simulink®, simulations are conducted on a prototypical EV-car, dissecting energy utilization, operational distance, and battery charge status under credible urban contexts. Outcomes from this endeavor showcase a pronounced elevation in forecasting precision over legacy approaches, delivering pivotal revelations that propel enhancements in EV structural design and battery operational protocols.