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Aini Hussain
Researcher at National University of Malaysia
Publications - 499
Citations - 10137
Aini Hussain is an academic researcher from National University of Malaysia. The author has contributed to research in topics: Feature extraction & Support vector machine. The author has an hindex of 37, co-authored 490 publications receiving 7016 citations. Previous affiliations of Aini Hussain include Integra Telecom & Universiti Teknologi MARA.
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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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State-of-the-Art and Energy Management System of Lithium-Ion Batteries in Electric Vehicle Applications: Issues and Recommendations
TL;DR: This review will hopefully lead to increasing efforts toward the development of an advanced Li-ion battery in terms of economics, longevity, specific power, energy density, safety, and performance in vehicle 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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Review of Energy Storage System Technologies in Microgrid Applications: Issues and Challenges
TL;DR: An advanced ESS is required with regard to capacity, protection, control interface, energy management, and characteristics to enhance the performance of ESS in MG applications to develop a cost-effective and efficient ESS model with a prolonged life cycle for sustainable MG implementation.
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Energy harvesting for the implantable biomedical devices: issues and challenges
TL;DR: The inductive coupling link is believed to be the suitable method to be used to power the battery-less implantable devices with reduced over hole size, low power, high efficiency, high data rate, and improved reliability and feasibility.