Survey on Battery Technologies and Modeling Methods for Electric Vehicles

• Main Authors: Iqbal M., Benmouna A., Becherif M., Mekhilef S.
• Other Authors: 57209544879
• Format: Review
• Published: MDPI 2024
• Subjects: battery management; battery technologies; electric vehicles; key trends; modeling methods; Charging (batteries); Electric vehicles; Secondary batteries; Battery Management; Battery modeling; Battery storage system; Battery technology; Cycle managements; Decarbonisation; Key trends; Model method; Qualitative factors; State of the art; Battery management systems

The systematic transition of conventional automobiles to their electrified counterparts is an imperative step toward successful decarbonization. Crucial advances in battery storage systems (BSS) and related technologies will enable this transition to proceed smoothly. This requires equivalent developments in several interconnected areas, such as complete battery cycles and battery management systems (BMS). In this context, this article critically examines state-of-the-art battery technologies from the perspective of automakers, provides insightful discussions, and poses open questions with possible answers. The generations of BSS (traditional, current, and futuristic) are first reviewed and analyzed via two distinct qualitative factors (DQFs): key design markers and performance indicators. Based on the introduced DQFs, major development trends and probable evolutions are forecasted. Thereafter, recent modeling and state estimation methods are comprehensively reviewed in relation to high-performance BMS. Accordingly, promising modeling methods are identified as futuristic solutions, leading to an accurate and timely decision for reliable and safer user experience. This article is concluded by presenting a techno-economic assessment of what to expect, as well as highlighting future challenges and opportunities for industry, academia, and policy makers. � 2023 by the authors.