Electric vehicle, Control theory, Battery, Photovoltaic system and Automotive engineering are his primary areas of study. His biological study spans a wide range of topics, including Particle swarm optimization and Energy management system. His Energy management system research is multidisciplinary, incorporating perspectives in Intelligent decision support system and Alternative energy.
His Control theory study integrates concerns from other disciplines, such as Electrical network, Transient and Emtp. His study in the field of Lithium-ion battery, State of charge and Battery management systems is also linked to topics like Energy density. Mahammad A. Hannan works mostly in the field of Photovoltaic system, limiting it down to concerns involving Electricity and, occasionally, Multi-objective optimization, Distributed computing, Flywheel and Islanding.
The scientist’s investigation covers issues in Control theory, Control theory, Electronic engineering, Voltage and Electrical engineering. Mahammad A. Hannan combines subjects such as Pulse-width modulation, Induction motor, Particle swarm optimization and Fuzzy logic with his study of Control theory. Mahammad A. Hannan has included themes like Control system, Photovoltaic system, Microgrid and Inverter in his Control theory study.
His studies in Photovoltaic system integrate themes in fields like Maximum power point tracking, Automotive engineering and Boost converter. His biological study deals with issues like Lithium-ion battery, which deal with fields such as State of charge. His Electrical engineering study combines topics in areas such as Battery and Electric vehicle.
Mahammad A. Hannan focuses on Electric vehicle, Control theory, Voltage, State of charge and Battery. His work in Electric vehicle addresses subjects such as Automotive engineering, which are connected to disciplines such as Energy management system, Energy storage and Battery energy. His Control theory study combines topics from a wide range of disciplines, such as Inverter and Microgrid, Renewable energy.
Mahammad A. Hannan interconnects Reliability engineering and Electric power system in the investigation of issues within Voltage. His State of charge research integrates issues from Artificial neural network, Robustness, Artificial intelligence and Algorithm. His Battery research is multidisciplinary, relying on both Data-driven and Lithium.
His primary areas of investigation include Renewable energy, Electric vehicle, Voltage, Electric power system and State of charge. His biological study spans a wide range of topics, including Building automation, Photovoltaic system and AC power. Within one scientific family, Mahammad A. Hannan focuses on topics pertaining to Fuzzy logic under Photovoltaic system, and may sometimes address concerns connected to Power control.
His research in Electric vehicle intersects with topics in Battery, Automotive engineering, Particle swarm optimization and Energy management system. He has researched State of charge in several fields, including Artificial neural network and Robustness. Mahammad A. Hannan focuses mostly in the field of Microgrid, narrowing it down to matters related to Virtual power plant and, in some cases, Control theory.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
M.A. Hannan;M.S.H. Lipu;A. Hussain;A. Mohamed.
Renewable & Sustainable Energy Reviews (2017)
Review of energy storage systems for electric vehicle applications: Issues and challenges
M.A. Hannan;M.M. Hoque;M.M. Hoque;A. Mohamed;A. Ayob.
Renewable & Sustainable Energy Reviews (2017)
Hybrid electric vehicles and their challenges: A review
M.A. Hannan;F.A. Azidin;F.A. Azidin;A. Mohamed.
Renewable & Sustainable Energy Reviews (2014)
State-of-the-Art and Energy Management System of Lithium-Ion Batteries in Electric Vehicle Applications: Issues and Recommendations
Mahammad A. Hannan;Md. Murshadul Hoque;Aini Hussain;Yushaizad Yusof.
IEEE Access (2018)
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.
Journal of Cleaner Production (2018)
Review of Energy Storage System Technologies in Microgrid Applications: Issues and Challenges
Mohammad Faisal;Mahammad A. Hannan;Pin Jern Ker;Aini Hussain.
IEEE Access (2018)
A review on energy management system for fuel cell hybrid electric vehicle: Issues and challenges
N. Sulaiman;M.A. Hannan;A. Mohamed;E.H. Majlan.
Renewable & Sustainable Energy Reviews (2015)
Energy harvesting for the implantable biomedical devices: issues and challenges
Mahammad A Hannan;Saad Mutashar;Saad Mutashar;Salina A Samad;Aini Hussain.
Biomedical Engineering Online (2014)
Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations
N. Sulaiman;M. A. Hannan;A. Mohamed;Pin Jern Ker.
Applied Energy (2018)
TECHNICAL CHALLENGES ON MICROGRIDS
A. A. Salam;A. Mohamed;M. A. Hannan.
(2008)
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