Revolutionizing EV Performance Prediction: Non-Linear Battery Models and Real-World Urban

Authors

  • Utkarsh Alset, Author
  • Datta Chavan, Author
  • Ashwini Pawar, Author
  • Panchshila Pillewar Author
  • Snehal Andhale Author

DOI:

https://doi.org/10.64252/92tz0087

Keywords:

Transportation; Electric vehicle; Drive-cycle; Mathematical modelling; Batteries

Abstract

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.

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Published

2025-07-02

Issue

Section

Articles

How to Cite

Revolutionizing EV Performance Prediction: Non-Linear Battery Models and Real-World Urban . (2025). International Journal of Environmental Sciences, 591-600. https://doi.org/10.64252/92tz0087