University of Illinois Urbana-Champaign

Output Power Optimization: A Regenerative Brake System of Hybrid Electric Vehicle Using Ripple Correlation Control

Choi, Sanghun

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https://hdl.handle.net/2142/47060

Description

Title
Output Power Optimization: A Regenerative Brake System of Hybrid Electric Vehicle Using Ripple Correlation Control
Author(s)
Choi, Sanghun
Contributor(s)
Haken, Lippold
Issue Date
2009-08
Keyword(s)
  • induction generator optimization
  • regenerative brake system optimization
  • ripple correlation control
  • output power optimization
  • indirect field oriental control
Abstract
There are many limitations in storing sufficient electric energy in the battery of Hybrid Electric Vehicle (H.E.V) to obtain reasonable driving ranges. Some of these obstacles include the size of batteries, their heavy weight and high cost. The motive behind this paper is to provide a solution for this problem using output power maximization of regenerative brake systems. Developing a highly efficient electric machine control system is an alternative solution for current electric energy storage problems in developing H.E.V. In order to improve the efficiency of the motor, an advanced electric machine control systems should be developed to optimize the regenerative electric energy and minimize the required electric energy for accelerating. This paper discusses how to increase the efficiency of induction generator for implementing a highly efficient regenerative brake system with a dynamic control methodology, Ripple Correlation Control (RCC). The regenerative brake system with RCC method can increase regenerated power up to 25% than conventional regenerative brake system. All experimental results have been tested on the computer simulation using MATALB SIMULINK, and then the results are verified by a theoretical analysis and comparison.
Type of Resource
text
Language
en
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http://hdl.handle.net/2142/47060

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