The study compares rideshare drivers and commuters on symbolic and instrumental attribute perceptions, focusing on their influences on electric vehicle adoption intent.

The paper emphasizes the significance of sustainable energy solutions centered around electric vehicles (EVs).

This article presents a current analysis of various EMSs proposed in the literature. It highlights the shift towards integrating machine learning and artificial intelligence (AI) breakthroughs in EMSs development.

This paper introduces an innovative modeling approach to address research gaps in urban decarbonization pathways, considering home charging and battery swapping stations' implications.

This paper proposes a two-stage framework for managing electric vehicle charging stations, addressing challenges such as uncertainty, pricing mechanisms, and network coupling.

The study explores Indonesia's charging infrastructure needs, focusing on private and public charging stations. This study also estimates the number and type of chargers needed for electric passenger cars by 2030, considering factors like location, charger types, and investment.

This paper analyzes the impact of multiple scenarios on the utility’s financials using Revenue and Tariff Analysis for Electric Utilities (RATE) model. The RATE modeling tool can provide actionable insights into the impact of various decisions on overall demand–supply scenarios, the energy balance, and revenue gaps.

This study proposes a method for thermal management of electric vehicle lithium-ion battery packs that involves the application of intermittent pulsating flow in the multi-channel cold plate.

This study aims to tackle this issue by developing an analytical model that integrates innovation policy with scientific research policy.

This study aims to provide a systematic update on the latest development of disassembly technology for used lithium-ion batteries (LIB).