Hannan, M.A.

A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations

Hannan, M. A., Lipu, M. S. H., Hussain, A., & Mohamed, A. (2017) · Renewable and Sustainable Energy Reviews

Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies

Cited by 2,005

A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: challenges and recommendations

Lipu, M. S. H., Hannan, M. A., Hussain, A., Hoque, M. M., Ker, P. J., Saad, M. H. M., & Ayob, A. (2018) · Journal of Cleaner Production

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 755

Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

Hossain Lipu, M. S., Hannan, M. A., Hussain, A., Ayob, A., Saad, M. H. M., Karim, T. F., & How, D. N. T. (2020) · Journal of Cleaner Production

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 378

State of the Art of Solid-State Transformers: Advanced Topologies, Implementation Issues, Recent Progress and Improvements

Hannan, M. A., Ker, P. J., Lipu, M. S. H., Choi, Z. H., Rahman, M. S. A., Muttaqi, K. M., & Blaabjerg, F. (2020) · IEEE Access

Advanced DC-DC ConvertersMultilevel Inverters and Converters

Cited by 339

State-of-Charge Estimation of Li-Ion Battery in Electric Vehicles: A Deep Neural Network Approach

How, D. N. T., Hannan, M. A., Lipu, M. S. H., Sahari, K. S. M., Ker, P. J., & Muttaqi, K. M. (2020) · IEEE Transactions on Industry Applications

Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies

Cited by 337

SOC Estimation of Li-ion Batteries With Learning Rate-Optimized Deep Fully Convolutional Network

Hannan, M. A., How, D. N. T., Lipu, M. S. H., Ker, P. J., Dong, Z. Y., Mansur, M., & Blaabjerg, F. (2021) · IEEE Transactions on Power Electronics

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 233

Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model

Hannan, M. A., How, D. N. T., Lipu, M. S. H., Mansor, M., Ker, P. J., Dong, Z. Y., Sahari, K. S. M., Tiong, S. K., Muttaqi, K. M., Mahlia, T. M. I., et al. (2021) · Scientific Reports

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 196

Extreme Learning Machine Model for State-of-Charge Estimation of Lithium-Ion Battery Using Gravitational Search Algorithm

Hossain Lipu, M. S., Hannan, M. A., Hussain, A., Saad, M. H., Ayob, A., & Uddin, M. N. (2019) · IEEE Transactions on Industry Applications

Battery Modeling and ManagementMachine Learning and ELM

Cited by 188

State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm

Lipu, M. S. H., Hannan, M. A., Hussain, A., Saad, M. H. M., Ayob, A., & Blaabjerg, F. (2018) · IEEE Access

Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies

Cited by 162

Battery storage systems integrated renewable energy sources: A biblio metric analysis towards future directions

Wali, S. B., Hannan, M. A., Reza, M. S., Ker, P. J., Begum, R. A., Rahman, M. S. A., & Mansor, M. (2021) · Journal of Energy Storage

Power Systems and Renewable EnergyHybrid Renewable Energy Systems

Cited by 149

Artificial intelligence based hybrid forecasting approaches for wind power generation: Progress, challenges and prospects

Lipu, M. S. H., Miah, M. S., Hannan, M. A., Hussain, A., Sarker, M. R., Ayob, A., Saad, M. H. M., & Mahmud, M. S. (2021) · IEEE Access

Energy Load and Power ForecastingSolar Radiation and Photovoltaics

Cited by 121

Techno-economic impact analysis for renewable energy-based hydrogen storage integrated grid electric vehicle charging stations in different potential locations of Malaysia

Roslan, M. F., Ramachandaramurthy, V. K., Mansor, M., Mokhzani, A. S., Jern, K. P., Begum, R. A., & Hannan, M. A. (2024) · Energy Strategy Reviews

Hybrid Renewable Energy SystemsElectric Vehicles and Infrastructure

Cited by 93

State of Charge Estimation in Lithium-Ion Batteries: A Neural Network Optimization Approach

Hossain Lipu, M. S., Hannan, M. A., Hussain, A., Ayob, A., Saad, M. H. M., & Muttaqi, K. M. (2020) · Electronics

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 84

State-of-Charge Estimation of Li-ion Battery Using Gated Recurrent Unit With One-Cycle Learning Rate Policy

Hannan, M. A., How, D. N. T., Mansor, M. B., Hossain Lipu, M. S., Ker, P., & Muttaqi, K. (2021) · IEEE Transactions on Industry Applications

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 70

Data driven health and life prognosis management of supercapacitor and lithium-ion battery storage systems: Developments, implementation aspects, limitations, and future directions

Hossain Lipu, M. S., Rahman, M. S. A., Mansor, M., Rahman, T., Ansari, S., Fuad, A. M., & Hannan, M. A. (2024) · Journal of Energy Storage

Battery Modeling and ManagementReliability and Maintenance Optimization

Cited by 41

Co-estimation of state of health and remaining useful life for lithium-ion batteries using a hybrid optimized framework

Ansari, S., Hannan, M. A., Ayob, A., Abdolrasol, M. G. M., & Dar, M. A. (2025) · Journal of Energy Storage

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 20