Open Access

ARTICLE

Parametric Optimization of Battery Capacity and Electric Motor Power for Electric Vehicles under Varying Loads and Capacities

Ivan Pliško, Mihael Cipek^*, Danijel Pavković

Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Zagreb, Croatia

* Corresponding Author: Mihael Cipek. Email:

(This article belongs to the Special Issue: Selected Papers from the SDEWES 2025 Conference on Sustainable Development of Energy, Water and Environment Systems)

Energy Engineering 2026, 123(7), 10 https://doi.org/10.32604/ee.2026.078275

Received 28 December 2025; Accepted 28 February 2026; Issue published 18 June 2026

Abstract

Nowadays, battery electric vehicles are increasingly used, from passenger cars to heavy-duty commercial vehicles, trains, and ships, all in an effort to reduce greenhouse gas emissions. In electric vehicles, battery capacity significantly affects their range and performance, but a larger battery also increases the vehicle’s mass and cost. This paper proposes parametric optimization of battery capacity and peak electric motor power for electric vehicles under different load types and vehicle capacities. A computational model of an electric vehicle is developed, with parameters such as battery capacity, payload, and peak motor power being variable. Using parametric optimization algorithms, the optimal electric vehicle configuration for different load types and battery capacities is determined. Based on the optimization results, the relationships between the parameters are analyzed, and a conclusion is presented.

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Keywords

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