Selection of Electric Vehicle Battery using multi attribute decision making method

An electric vehicle (EV) battery provides the energy required to power vehicles, ranging from passenger cars to buses. Among EV components, the battery is widely regarded as one of the most critical, as it directly supports vehicle operation. In parallel, the adoption of electric vehicles has increased, largely due to their potential to reduce carbon emissions and contribute to environmental protection initiatives. Consequently, selecting an appropriate battery for electric vehicles represents a significant decision-making challenge. To identify a suitable battery option, a multi-criteria decision-making (MCDM) approach is employed, taking into account several fundamental performance specifications. These criteria include battery lifespan, efficiency, durability, recharge time, temperature dependence, cost, and weight. The present work applies a structured framework for EV battery selection through the use of multiple decision-making techniques, namely the Analytic Hierarchy Process (AHP), the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the Complex Proportional Assessment (COPRAS) method, and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA). Collectively, these methods are used to evaluate and rank battery alternatives, thereby providing a systematic and comparative basis for informed decision-making. Smart citations: https://scite.ai/reports/10.61467/2007.1558.2026.v17i1.383 Dimensions. Open Alex.