Data-Driven Performance Analysis of Electric 4-Wheelers in the Asia Market

Electric Four-wheelers are becoming a crucial component of Asia’s sustainable urban mobility strategy, driven by increasing environmental concerns, rising urban congestion, and strong policy support for green transportation. While Asia has made significant strides in electric vehicle (EV) adoption, particularly in the four-wheeler segment, the performance dynamics of electric four-wheelers remain relatively underexplored. Despite the advances in statistical analysis related to the EVs, a comprehensive analysis of how key EV parameters interrelate specifically within the four wheeler segment in the Asian market remains limited. More so is true for the price variable, which seems to change on even a short period of time. For some pricey models, the base price would be independent of the parameters considered here, due to the brand name, it definitely depends to a good extent on such variables, as shown here. This study addresses that gap by employing regression based state-space models to analyze key performance parameters specific to the Asian market. Multiple regression techniques including linear, quadratic, cubic models are utilized to establish functional relationships among critical variables such as battery capacity, motor power, acceleration, range, and price. The findings aim to provide valuable insights for manufacturers, policymakers, and consumers, supporting data driven decisions in the rapidly evolving electric four wheeler landscape across Asia.