This review classifies the existing concepts of thermal management for EVs based on phase change technology and reviews the development of each technology to comprehensively analyze the advantages and disadvantages of the studied technologies.

This paper presents a typification of charging strategies and introduces a conceptual framework for appraising their flexibility in distribution grids.

This study proposes a novel multi-criteria decision-making (MCDM) model based on a rough extension of the Ordinal Priority Approach (OPA) to determine the order of importance of users' perspectives on Electric Vehicle (EV) purchases.

This paper proposes an online predictive eco-driving strategy, which includes a safety supervisory module, time reference generator, and rolling optimization.

The authors propose a two-stage framework for smart EVCS scheduling and inverter-based Volt-VAR control (VVC) using prediction error-integrated deep reinforcement learning (DRL).

The authors proposes a new strategy for charging pricing based on service-quality is proposed to help users deal with the uncertainty of travel plans and promote user participation in demand response.

This paper addresses the major challenges faced by LIBs under variable load conditions, such as their heat-generating mechanisms and key thermal problems.

In the present study, the exergy derived from the second law of thermodynamics was applied to assess the abiotic resource depletion associated with lithium nickel cobalt manganate (NCM) battery production, including NCM111, NCM523, NCM622, and NCM811.

The study examines the recycling of spent power batteries in the electric vehicle industry, focusing on two automakers, the incumbent and the new entrant.

This paper proposes a data-driven model to achieve accurate, early, and economical fault detection and isolation.