A simulation-based investigation into the charging performance of lithium-ion and lead-acid batteries in electric vehicles

Author:

Noor Zelan M A,Hidayat Nabil M,Nasir Nurfarizza Surhada M,Nik Ali N H,Abdullah Ezmin,Umair Muhammad,Zulkifly Mohamad Zaid

Abstract

Abstract The transportation sector constitutes a major source of global greenhouse gas emissions, and the adoption of electric vehicles (EVs) can help mitigate this issue. This paper presents a simulation study examining the performance of lithium-ion and lead-acid batteries for EVs when charged using direct current (DC) chargers. A simulation model is employed to observe the charging behavior of these batteries and analyze the effects of various DC chargers. Factors such as the state of charge (SOC) and charging rate influence the charging behavior of batteries in EVs. The simulation results are compared and analyzed to ascertain the optimal charging strategy and infrastructure for EVs. The performance of different EVs is evaluated in terms of charging time, energy efficiency, and SOC. According to the findings, implementing the appropriate charging strategy and infrastructure for lithium-ion and lead-acid batteries in EVs can significantly enhance performance and encourage the widespread adoption of EVs.

Publisher

IOP Publishing

Subject

General Medicine

Reference10 articles.

1. A high performance lead-acid battery for EV applications;Battlebury;Journal of Power Sources,1999

2. Lithium-Ion Battery Charge Equalization Algorithm for Electric Vehicle Applications;Hannan;IEEE Transactions on Industry Applications,2017

3. Comparison of three electrochemical energy buffers applied to a hybrid bus powertrain with simultaneous optimal sizing and energy management;Hu;IEEE Transactions on Intelligent Transportation Systems,2014

4. Optimal dimensioning and power management of a fuel cell/battery hybrid bus via convex programming;Hu;IEEE/ASME Transactions on Mechatronics,2015

5. Comparison of lead-Acid and lithium ion batteries for stationary storage in off-grid energy systems;Keshan,2016

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