M
M. A. Hannan
Researcher at Universiti Tenaga Nasional
Publications - 69
Citations - 3185
M. A. Hannan is an academic researcher from Universiti Tenaga Nasional. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 9, co-authored 29 publications receiving 1882 citations.
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A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
TL;DR: In this article, a comprehensive review of the battery state of charge estimation and its management system for the sustainable future electric vehicles (EVs) applications is presented, which can guarantee a reliable and safe operation and assess the battery SOC.
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Review of energy storage systems for electric vehicle applications: Issues and challenges
TL;DR: In this paper, the authors comprehensively review technologies of ESSs, its classifications, characteristics, constructions, electricity conversion, and evaluation processes with advantages and disadvantages for EV applications.
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A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations
M. S. Hossain Lipu,M. S. Hossain Lipu,M. A. Hannan,Aini Hussain,M. M. Hoque,Pin Jern Ker,Mohd Hanif Md Saad,Afida Ayob +7 more
TL;DR: The goal of this paper is to comprehensively review the different estimation models to predict SOH, and RUL in a comparative manner and identify the classifications, characteristics and evaluation processes with advantages and disadvantages for EV applications.
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Battery charge equalization controller in electric vehicle applications: A review
TL;DR: In this paper, a comprehensive review of the different type of charge equalization controller (CEC) for electric vehicle (EV) applications is highlighted, and a comparison on the salient feature characteristics among the CECs are explained on their topologies, types and execution times, difficulties in control, efficiencies, cost, components, merits and demerits.
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Lithium-Ion Battery Charge Equalization Algorithm for Electric Vehicle Applications
TL;DR: A battery charge equalization algorithm for lithium-ion battery in EV applications to enhance the battery's performance, life cycle, and safety is presented in this paper. But, the proposed algorithm has some drawbacks such as the overcharged cell which has a risk of explosion, the undercharged cell eventually reduces the life cycle of the battery, and unbalanced charge in series battery gradually reduces overall charge capacity.