Optimum Power Management Strategy for a Hybrid Vehicle Via Artificial Intelligence, M.Sc. Thesis Sharif University of Technology ; Salarieh, Hassan (Supervisor) ; Khayyat, Amir Ali Akbar (Supervisor)
Abstract
In the recent years, increasing concerns about the environmental issues necessitatecientists and industrial people to introduce clean and zero emissions vehicles to the global market. Relying on this acute demand,Hybrid Electric Vehicles (HEVs) are knownas one potential solution to lessen the negative effects of transportation industry on ecological systems.HEVs combine an Internal Combustion Engine (ICE) with an Electric Motor/Generator (EMG) and an Energy Storage System (ESS) to produce a fuel efficient and low or zero pollutant powertrain. Increasing the number of components in the powertrain requires a sophisticated strategy to control all drive-line components suitably. Surely, the best...
Cataloging briefOptimum Power Management Strategy for a Hybrid Vehicle Via Artificial Intelligence, M.Sc. Thesis Sharif University of Technology ; Salarieh, Hassan (Supervisor) ; Khayyat, Amir Ali Akbar (Supervisor)
Abstract
In the recent years, increasing concerns about the environmental issues necessitatecientists and industrial people to introduce clean and zero emissions vehicles to the global market. Relying on this acute demand,Hybrid Electric Vehicles (HEVs) are knownas one potential solution to lessen the negative effects of transportation industry on ecological systems.HEVs combine an Internal Combustion Engine (ICE) with an Electric Motor/Generator (EMG) and an Energy Storage System (ESS) to produce a fuel efficient and low or zero pollutant powertrain. Increasing the number of components in the powertrain requires a sophisticated strategy to control all drive-line components suitably. Surely, the best...
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