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This algorithm exhibits a robust Energy Management Strategy (EMS) for battery-super capacitor (SC) Hybrid Energy Storage System (HESS). The proposed algorithm, dedicated to an electric vehicular application, it is based on a self-gain scheduled controller, which guarantees the H performance for a class of linear parameter varying (LPV) systems.

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LPV

This algorithm exhibits a robust Energy Management Strategy (EMS) for battery-super capacitor (SC) Hybrid Energy Storage System (HESS). The proposed algorithm, dedicated to an electric vehicular application, it is based on a self-gain scheduled controller, which guarantees the H performance for a class of linear parameter varying (LPV) systems. First; You have to excute the LPVMEhdi.m Secondly; the controller gain is calculated through the Gain_Mehdi.m file. Finally, run the Simulink File.

If you find thiw work useful please cite the following paper:

@ARTICLE{9171867, author={M. {Sellali} and A. {Betka} and A. {Djerdir} and Y. {Yang} and I. {Bahri} and S. {Drid}}, journal={IEEE Transactions on Energy Conversion}, title={A Novel Energy Management Strategy in Electric Vehicle Based on H Self-gain Scheduled for Linear Parameter Varying Systems}, year={2020}, volume={}, number={}, pages={1-1},}

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This algorithm exhibits a robust Energy Management Strategy (EMS) for battery-super capacitor (SC) Hybrid Energy Storage System (HESS). The proposed algorithm, dedicated to an electric vehicular application, it is based on a self-gain scheduled controller, which guarantees the H performance for a class of linear parameter varying (LPV) systems.

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