M
Molla Shahadat Hossain Lipu
Researcher at National University of Malaysia
Publications - 75
Citations - 2466
Molla Shahadat Hossain Lipu is an academic researcher from National University of Malaysia. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 12, co-authored 29 publications receiving 1282 citations. Previous affiliations of Molla Shahadat Hossain Lipu include University of Asia and the Pacific.
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Journal ArticleDOI
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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Neural Network Approach for Estimating State of Charge of Lithium-Ion Battery Using Backtracking Search Algorithm
Mahammad A. Hannan,Molla Shahadat Hossain Lipu,Aini Hussain,Mohamad Hanif Md Saad,Afida Ayob +4 more
TL;DR: The obtained results show that the BPNN based BSA model outperforms other neural network models in estimating SOC with high accuracy under different EV profiles and temperatures.
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State of the art of solid-state transformers: Advanced topologies, implementation issues, recent progress and improvements
Mahammad A. Hannan,Pin Jern Ker,Molla Shahadat Hossain Lipu,Zhen Hang Choi,M. Safwan Abd. Rahman,Kashem M. Muttaqi,Frede Blaabjerg +6 more
TL;DR: This review comprehensively reviews the SST topologies suitable for different voltage levels and with varied stages, their control operation, and different trends in applications and provides recommendations for the improvement of future SST configuration and development.
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Extreme Learning Machine Model for State-of-Charge Estimation of Lithium-Ion Battery Using Gravitational Search Algorithm
Molla Shahadat Hossain Lipu,Mahammad A. Hannan,Aini Hussain,Mohamad Hanif Md Saad,Afida Ayob,Mohammad Nasir Uddin +5 more
TL;DR: This paper develops a state-of-charge (SOC) estimation model for a lithium-ion battery using an improved extreme learning machine (ELM) algorithm using a gravitational search algorithm (GSA) to improve the ELM computational intelligence by searching for the optimal value hidden layer neurons.
Journal ArticleDOI
State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm
Molla Shahadat Hossain Lipu,Mahammad A. Hannan,Aini Hussain,Mohamad Hanif Md Saad,Afida Ayob,Frede Blaabjerg +5 more
TL;DR: The results prove that the proposed NARXNN model achieves higher accuracy with less computational time than other existing SOC algorithms under different temperature conditions and electric vehicle drive cycles.