engleski

A Novel Approach to Energy Management Strategy for Hybrid Electric Vehicles

The principal issue in choosing an energy management strategy (EMS) for hybrid electric vehicles (HEVs) has been the way of determining the optimal share of electric energy in hybrid drives. In this paper, a novel EMS is proposed that can optimize the share of battery energy for the maximum efficiency of vehicle power train expanded with an imaginary power plant. It is proved by simulations that the expanded power train efficiency has the local maximum for a wide range of wheel power demand. The relation between the wheel power demand in the hybrid drive, the share of battery energy, and the maximum efficiency of the expanded power train is conducted off-line. Downloaded to the onboard control system, it realizes the hybrid drive with the instantaneously optimal share of battery energy, the engine to run at optimal speed, and the control system to operate with the low computational load. As an example, the power split HEV power train is modeled and its behavior for the proposed EMS is simulated. The vehicle power train efficiency and engine fuel consumption are found to be highly competitive to the compared power trains. For example, the power train efficiency of the vehicle with proposed EMS is found more than 10 % higher regarding Toyota Prius (second generation) having the same engine, the same vehicle chassis, and the similar weight.

HEV genesis ; power flow analysis ; efficiency optimization ; expanded power train ; fuel consumption

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