Hybrid Vehicle Energy Management Research Articles

Energy management strategies for parallel hybrid vehicles using fuzzy logic

This paper presents a fuzzy-logic-based energy management and power control strategy for parallel hybrid vehicles (PHV). The main objective is to optimize the fuel economy of the PHV, by optimizing the operational efficiency of all its components. The controller optimizes the power output of the electric motor/generator and the internal combustion engine by using vehicle speed, driver commands from accelerator and braking pedals, state of charge (SOC) of the battery, and the electric motor/generator speed. Separate controllers optimize braking and gear shifting. Simulation results show potential fuel economy improvement relative to other strategies that only maximize the efficiency of the combustion engine.

Energy Management Strategies for Parallel Hybrid Vehicles Using Fuzzy Logic

This paper presents a fuzzy-logic-based energy management and power control strategy for parallel hybrid vehicles (PHV). The main objective is to optimize the fuel economy of the PHV, by optimizing the operational efficiency of all its components. The controller optimizes the power output of the electric motor/generator and the internal combustion engine by using vehicle speed, driver commands from accelerator and braking pedals, State of Charge (SOC) of the battery, and the electric motor/generator speed. Separate controllers optimize braking and gear shifting. Simulation results show potential fuel economy improvement relative to other strategies that only maximize the efficiency of the combustion engine.

Adaptive Energy Management for a Series Hybrid Vehicle

A testbed of a series hybrid vehicle was built up at the University of Paderborn to allow studying the design, implementation, and optimization of operating strategies for hybrid vehicles. The paper will present a hierarchical control structure of a series hybrid drive train. Due to the fact that the overall efficiency of the hybrid drive train depends very much on the operating conditions, e.g., the kind of route (inner city or highway) or the kind of driver (sporty of conservative) an adaptive energy management will be presented that takes into account these various uncertainties and increases fuel economy and derivability. Simulation results will be presented as well as a hardware-in-the-loop testbed configuration of this series hybrid vehicle.