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A Study on Energy Distribution Control Strategy of a Serial Plug-in Hybrid Electric Vehicle

Author: ZhuYi
Tutor: ZhangBingLi
School: Hefei University of Technology
Course: Vehicle Engineering
Keywords: Plug-in hybrid electric vehicle Control strategy Powertrain parameters matching Optimization Hardware-in-the-loop simulation
CLC: U469.72
Type: Master's thesis
Year: 2010
Downloads: 266
Quote: 2
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Abstract


Plug-in Hybrid Electric Vehicle (PHEV) is an oil-electricity mixed hybrid electric vehicle with two operation modes. While batteries are fully charged, it can run on pure-electric mode which can meet the on-off work without any oil. During long-distance traveling, it will switch to hybrid mode when state of charge (SOC) reaches the low limit. As a direction of development, PHEV has a wide market due to its energy-saving, environment-friendly, and practical application. Energy distribution control strategy can decide the operation mode and energy distribution, which is the core of a PHEV.Firstly, a serial hybrid drivetrain is selected after comparing three kinds of drivetrains. And powertrain parameters are calculated according to the dynamic requirements. Secondly, energy distribution control strategy of a PHEV is constituted. On pure-electric mode, all the required power is provided by batteries while the engine is shut down. During hybrid mode, operating areas are divided according to the efficiency. Different energy distribution strategies are made based on different operating areas and vehicle model is built. Thirdly, total consumed energy is set as optimization target. SOC threshold and other parameters are optimized. Finally, methodology of modern control system is used to run hardware-in-the-loop test. During the test, SCM is used as the controller while dSPACE is served as the components which are controlled by SCM.The simulation results show that the energy distribution strategy can perform features of a PHEV. Through optimization, consumed energy is reduced. The hardware-in-the-loop test shows the SCM controller can meet the requirements and the results of optimization are validated. In the end, conclusions and new points in the project are summarized and the research in the next step is also proposed.

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CLC: > Transportation > Road transport > Automotive Engineering > A variety of automotive > Various energy vehicles > Electric vehicles
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