This work suggests a hybrid MCDM strategy for determining the ideal battery for a robotic wheelchair by combining the ENTROPY weighting with TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) MCDM approaches. By taking into account several factors at once, this methodology seeks to improve the evaluation process's correctness and dependability. To address the issue, the modeled framework takes into account eight parameters: price, weight, specific power, safety, maintenance cost, longevity, efficiency, and charging time. It also takes into account eight distinct types of batteries. The ENTROPY weighting methodology evaluates the influence of the criteria, whereas TOPSIS approaches independently compute the performance rating to generate an ordering of the chosen battery. Batteries are assessed using a range of factors, including professional advice. The Lithium Nickel Manganese Cobalt is the best to employ in the development of robotic wheelchairs because of its special qualities. The spearman correlation analysis is performed with the intention of expediting the decision-making process about battery acquisitions.