Intelligent System Approaches for Vehicle Power Management

  • Xi Zhang
  • Chris MiEmail author
Part of the Power Systems book series (POWSYS)


This chapter first briefly discusses the theoretical fundamentals of fuzzy logic and neural networks, and then introduces and summarizes characteristics of intelligent system approaches applied to vehicle power management. After thorough review of the basic theory of fuzzy logic and neural networks, the application of these methods to various types of vehicle configurations are reviewed. Then, the fuzzy logic and slide mode control are demonstrated for the fuel optimization for series, parallel, series–parallel, and complex hybrid vehicles. Finally, the application of fuzzy logic and slide mode control are used to optimize the regenerative braking of a parallel hybrid vehicle.


Membership Function Fuzzy Logic Slide Mode Control Fuzzy Logic Controller Internal Combustion Engine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London Limited  2011

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringUniversity of Michigan-DearbornDearbornUSA

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