Analysis of Parameters Influencing Electric Vehicle Range, Velocity, Acceleration & Battery Capacity

The range, velocity, acceleration, and battery capacity of electric vehicles (EVs) are crucial factors influencing their performance and consumer appeal. With the rapid advancements in EV technology, manufacturers are introducing models with varying motor types, body structures, and battery configurations, making it challenging for consumers to compare and select the most suitable option. This study analyzes the key parameters affecting EV performance by simulating different configurations using MATLAB’s Simulink and Simscape tools. The Electric Vehicle Simulator models essential components such as drive cycles, motor controllers, DC motors, gearboxes, and vehicle bodies to evaluate their impact on overall performance. By systematically comparing simulation results, this research provides insights into how these factors influence EV efficiency, enabling consumers and manufacturers to make more informed decisions regarding electric vehicle selection and optimization.

Authors

Institutions

Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1109/setcom64758.2025.10932558
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Parameters Influencing Electric Vehicle Range, Velocity, Acceleration & Battery Capacity

Suman Bhullar, Alok Kumar Jain
Advanced Battery Technologies Research
article

Analysis of Parameters Influencing Electric Vehicle Range, Velocity, Acceleration & Battery Capacity

Suman Bhullar, Alok Kumar Jain
article en

Abstract

The range, velocity, acceleration, and battery capacity of electric vehicles (EVs) are crucial factors influencing their performance and consumer appeal. With the rapid advancements in EV technology, manufacturers are introducing models with varying motor types, body structures, and battery configurations, making it challenging for consumers to compare and select the most suitable option. This study analyzes the key parameters affecting EV performance by simulating different configurations using MATLAB’s Simulink and Simscape tools. The Electric Vehicle Simulator models essential components such as drive cycles, motor controllers, DC motors, gearboxes, and vehicle bodies to evaluate their impact on overall performance. By systematically comparing simulation results, this research provides insights into how these factors influence EV efficiency, enabling consumers and manufacturers to make more informed decisions regarding electric vehicle selection and optimization.

Thapar Institute of Engineering & Technology (IN), Pandit Deendayal Energy University (IN)
Affordable and clean energy
Openalex Percentile: Top 95%
Advanced Battery Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.