POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS

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Authors: Rinku Kumar Roy, Harpreet Kaur Channi, Sita Rani, Aman Kataria, Parveen Bajaj, George Uwadiegwu Alaneme
Cited by: 2
References: 45

Abstract

ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution. This study aims to identify the most suitable battery option for HEVs in India by considering performance, cost, and environmental impact. A multicriteria decision‐making framework based on the technique for order of preference by similarity to ideal solution, supported by matrix laboratory validation, is employed to evaluate four widely used battery technologies: lithium‐ion (Li‐ion), nickel–metal hydride (Ni‐MH), lead‐acid, and nickel–cadmium (Ni─Cd). Key performance indicators, including electrical efficiency, specific energy, energy density, nominal cell voltage, energy per cycle, self‐discharge rate, specific power, cost per kWh, and durability, are incorporated into the analysis. The results consistently indicate that Li‐ion and Ni‐MH batteries outperform Pb‐acid and Ni─Cd batteries, with Li‐ion emerging as the most suitable option due to its superior energy density, specific energy, and low self‐discharge rate. The proposed framework provides a robust and reproducible decision‐support tool for HEV battery selection in India, supporting efficient vehicle performance and reduced environmental impact.

Fields of Study & Subjects

Advanced Battery Technologies Research Electric Vehicles and Infrastructure Electric and Hybrid Vehicle Technologies

Publication details

Journal / source
Energy Science & Engineering
Publisher
Wiley
Volume
14
Issue
4
Pages
2103–2117
Publication date
13 February 2026
Language
EN