What is he best known for?
The fields of study he is best known for:
- Control theory
- Electrical engineering
- Thermodynamics
His primary scientific interests are in Automotive engineering, Control theory, Control engineering, Battery and Control theory.
His Automotive engineering study integrates concerns from other disciplines, such as Powertrain, Electric vehicle and Power management.
His study explores the link between Electric vehicle and topics such as Electricity that cross with problems in Hybrid vehicle, Stochastic programming and Pareto principle.
His study in the fields of Vehicle dynamics under the domain of Control theory overlaps with other disciplines such as Simple.
His Control engineering study combines topics in areas such as Control system and Energy based.
His research integrates issues of Electronic engineering, Simulation and Optimal control in his study of Battery.
His most cited work include:
- A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles (436 citations)
- Plug-in hybrid electric vehicle charge pattern optimization for energy cost and battery longevity (283 citations)
- Modeling and Control of Aggregate Air Conditioning Loads for Robust Renewable Power Management (197 citations)
What are the main themes of his work throughout his whole career to date?
Control theory, Battery, Automotive engineering, Mathematical optimization and Control engineering are his primary areas of study.
His work deals with themes such as Estimation theory, Lithium-ion battery and Identifiability, which intersect with Control theory.
Hosam K. Fathy has included themes like Electronic engineering, Simulation and Voltage in his Battery study.
His Automotive engineering research integrates issues from Electricity, Electric vehicle, Dynamic programming, Power management and Powertrain.
His work in Power management addresses subjects such as Optimal control, which are connected to disciplines such as Optimization problem.
His Control engineering research is multidisciplinary, incorporating perspectives in Control system and Automotive industry.
He most often published in these fields:
- Control theory (36.56%)
- Battery (26.34%)
- Automotive engineering (17.74%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (36.56%)
- Control theory (12.37%)
- Battery (26.34%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Control theory, Control theory, Battery, Sensitivity and Fuel efficiency.
His Control theory research is multidisciplinary, relying on both Rijke tube, Crosswind, Identifiability and Voltage.
Hosam K. Fathy focuses mostly in the field of Control theory, narrowing it down to topics relating to Heavy duty and, in certain cases, Loop.
Hosam K. Fathy works in the field of Battery, focusing on State of charge in particular.
His Fuel efficiency research incorporates elements of Pareto principle, Phase and Trajectory, Trajectory optimization.
His work focuses on many connections between Automotive engineering and other disciplines, such as Electricity generation, that overlap with his field of interest in Optimal control.
Between 2018 and 2021, his most popular works were:
- Iterative Learning-Based Path Optimization for Repetitive Path Planning, With Application to 3-D Crosswind Flight of Airborne Wind Energy Systems (8 citations)
- Analysis and Control of Charge and Temperature Imbalance Within a Lithium-Ion Battery Pack (6 citations)
- SELF-BALANCING PHOTOVOLTAIC ENERGY STORAGE SYSTEM AND METHOD (4 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Control theory
- Thermodynamics
Hosam K. Fathy mainly focuses on Control theory, Photovoltaic system, Energy storage, Trajectory and Crosswind.
He specializes in Control theory, namely Delay differential equation.
He has researched Photovoltaic system in several fields, including Power grid, Inverter, Power storage and Benchmark.
The study incorporates disciplines such as Battery, State of charge, Network topology, Power electronics and Electrical engineering in addition to Energy storage.
His Trajectory research is multidisciplinary, incorporating perspectives in Automation, Chassis and Automotive engineering, Fuel efficiency.
His biological study spans a wide range of topics, including Iterative learning control, Convergence, System model and Wind power.
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