Adaptive control strategy and method for optimizing hybrid electric vehicles
AssigneeIllinois Institute of Technology
InventorsFernando Rodriguez, Srdjan M. Lukic, Ali Emadi
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AssigneeIllinois Institute of Technology
InventorsFernando Rodriguez, Srdjan M. Lukic, Ali Emadi
Estimating the term…
This invention relates a control strategy for a hybrid electric vehicle having an electric motor, a battery and an internal combustion engine. The control strategy improves fuel economy and reduces emissions while providing sufficient acceleration over a varying set of driving conditions through an adaptive control unit with an artificial neural network. The artificial neural network is trained on a pre-processed training set based on the highest fuel economies of multiple control strategies and multiple driving profiles. Training the artificial neural network includes a training algorithm and a learning algorithm. The invention also includes a method of operating a hybrid electric vehicle with an adaptive control strategy using an artificial neural network.
A hybrid electric vehicle including an electric motor, a battery and an internal combustion engine, the vehicle comprising:
A hybrid electric vehicle including an electric motor, a battery and an internal combustion engine, the vehicle comprising:
A method of operating a hybrid electric vehicle comprising:
Dependencies are inferred from the claim text.