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Meng, J., Luo, G., Ricco, M., Swierczynski, M., Stroe, D.I. and Teodorescu, R. (2018) Overview of Lithium-Ion Battery Modeling Methods for State-of-Charge Estimation in Electrical Vehicles. Applied Sciences, 8, Article No. 659. https://doi.org/10.3390/app8050659

has been cited by the following article:

• TITLE: An Overview of Lithium-Ion Battery Dynamics for Autonomous Electric Vehicles: A MATLAB Simulation Model

  AUTHORS: Qasim M. Ajao, Lanre Gbenga Sadeeq, Olukotun Oludamilare, Mohammad Qasim

  KEYWORDS: Autonomous Electric Vehicles, Battery Management Systems (BMS), Lithium-Ion Batteries, Dynamic Mode Simulation, EV Drive, Drive Cycles, Self-Driving Vehicles

  JOURNAL NAME: Open Access Library Journal, Vol.10 No.6, June 30, 2023

  ABSTRACT: This paper presents a detailed simulation model designed for autonomous electric vehicles (AEVs) powered by lithium-ion batteries. It provides insights into the input parameters used in the model and the recuperation of braking energy in AEVs. In addition, the paper offers a thorough analysis of the dynamic characteristics of lithium-ion batteries through simulations of standardized driving cycles, including urban and highway drive cycles. These results are expected to facilitate the progress of AEV battery technology development and promote the creation of more sustainable and efficient self-driving vehicles.