Shuo Zhang

TL;DR: In this paper, the authors proposed an adaptive energy management strategy for a plug-in hybrid electric vehicle based on a fuzzy logic controller to classify typical driving cycles into different driving patterns and to identify the real-time driving pattern.

TL;DR: In this paper, the authors proposed an integrated power management for a plug-in hybrid electric vehicles (PHEVs) with multiple energy sources, including a semi-active hybrid energy storage system (HESS) and an assistance power unit (APU).

TL;DR: In this paper, the authors present a procedure for the design of a near-optimal power management strategy for the hybrid battery and ultracapacitor energy storage system (HESS) in a plug-in hybrid electric vehicle.

TL;DR: In this paper, a simple and robust power management strategy was proposed to further improve the operating efficiency of a dual-motor-driven electric bus, which contains a wet clutch, transmission gears, bearings and two driving motors.

TL;DR: In this paper, the trade-off problem between charging loss and charging time has been analyzed in details through the dynamic programing (DP) optimization algorithm, and a database-based optimization approach has been proposed to reduce the computation time consumed during the optimization process.