A Novel Energy Management Strategy in Electric Vehicle Based on H∞ Self-Gain Scheduled for Linear Parameter Varying Systems

Abstract

International audienceThe present paper exhibits a real time assessment of a robustEnergy 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 aself-gain scheduled controller, which guarantees the H∞ performancefor a class of linear parameter varying (LPV) systems. Assumingthat the duty cycle of the involved DC-DC converters are consideredas the variable parameters, that can be captured in real time, andforwarded to the controller to ensure both; the performance androbustness of the closed-loop system. The subsequent controller istherefore time-varying and it is automatically scheduled accordingto each parameter variation. This algorithm has been validatedthrough experimental results provided by a tailor-made test benchincluding both the HESS and the vehicle traction emulation system.The experimental results demonstrate the overall stability of thesystem, where the proposed LPV supervisor successfully accomplishesa power frequency splitting in an adequate way, respecting thedynamic of the sources. The proposed solution provides significantperformances for different speed levels