A Novel Energy Management Strategy in Electric Vehicle Based on H∞ Self-Gain Scheduled for Linear Parameter Varying Systems
Résumé
The present paper exhibits a real time assessment of 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, is based on a
self-gain scheduled controller, which guarantees the H∞ performance
for a class of linear parameter varying (LPV) systems. Assuming
that the duty cycle of the involved DC-DC converters are considered
as the variable parameters, that can be captured in real time, and
forwarded to the controller to ensure both; the performance and
robustness of the closed-loop system. The subsequent controller is
therefore time-varying and it is automatically scheduled according
to each parameter variation. This algorithm has been validated
through experimental results provided by a tailor-made test bench
including both the HESS and the vehicle traction emulation system.
The experimental results demonstrate the overall stability of the
system, where the proposed LPV supervisor successfully accomplishes
a power frequency splitting in an adequate way, respecting the
dynamic of the sources. The proposed solution provides significant
performances for different speed levels.