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A Supervisory Control Algorithm for a Series Hybrid Vehicle With Multiple Energy Sources

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PROJECT TITLE :

A Supervisory Control Algorithm for a Series Hybrid Vehicle With Multiple Energy Sources

ABSTRACT:

This paper presents a replacement power distribution strategy (PDS) for a series electrical hybrid vehicle (SHEV) in the sense of minimizing fuel usage. The target vehicle has three energy sources, i.e., an engine and generator set (EGS), a battery, and an ultracapacitor, and two traction motors for the front and rear wheels. A two-step PDS based mostly on the $64000-time optimization technique is proposed to distribute the demand power among 3 energy sources. Several existing PDSs, like the thermostat strategy and the power-follower strategy, are changed and applied to be compared with the proposed strategy. An optimal torque distribution strategy between back and front traction motors is also proposed to reduce the electrical energy consumption and to further improve fuel economy. Simulation results demonstrate the feasibility and effectiveness of the proposed ways.


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A Supervisory Control Algorithm for a Series Hybrid Vehicle With Multiple Energy Sources - 4.9 out of 5 based on 15 votes

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