The Ministry of Environment, Forest, and Climate Change has issued a significant notification on October 25, 2023, introducing the Battery Waste Management (Amendment) Rules, 2023.

In this study a comprehensive survey has been executed among vehicle owners and public transport enterprises in Ho Chi Minh City.

The WEO 2023 explores how structural shifts in economies and in energy use are shifting the way that the world meets rising demand for energy.

This paper proposes a mixed integer linear mathematical model to optimize a multi-period production routing problem using electric vehicles, focusing on total cost, inventory, and routing.

The main goal of the study was to investigate how much CO2 emissions can be reduced with EV technology in Kuwait.

This study reviews the studies that apply machine learning models to improve EV charging service operations and provides future research directions.

This study contributes to the literature on this topic by investigating the factors influencing the co-adoption decision among EV owners in California, a leading market for the two complementary technologies.

This study aims to develop a model that depicts the impact of the barriers on EV adoption.

The optimized Extended Kalman Filter (EKF) is proposed in this work. As a first step, an optimization algorithm is used to obtain the optimal values for covariance matrices. In the second step, optimized matrix values are injected into the EKF, which confirms the filter accuracy in the SOC estimation.

In this research, to deal with the conflicting control objectives of active suspension system (ASS) including ride comfort, suspension travel, and road handling, the control design is reformulated as an optimization problem and the linear quadratic control framework and model predictive control strategy have been explored.