HEV Component Design and Optimization for Fuel Economy

Part of the Power Systems book series (POWSYS)


Vehicle components can have significant impact on fuel economy and emissions. Hence, this chapter discusses the design optimization of various types of hybrid vehicles. We first study the total optimization problem in a HEV using evolutionary algorithms to the multi-objective optimization problem of a series HEV. Then, we compare the different optimization algorithms for a parallel HEV. Since the analytical expression of the objective function does not exist, a vehicle simulation model is used for function evaluations. The optimization algorithm is implemented in the simulation software, PSAT and ADVISOR, with simulated experiments on a test drive cycle, which is a combination of city cycle UDDS and highway cycle HWFET. The simulation results obtained in this study show that the proposed optimization approach is effective and important for vehicle designers and vehicle control optimization: the proposed optimization algorithm has the capability of generating a set of trade-off optimal solutions among the fuel economy and three emissions, and all these solutions have better performances in all four objectives: fuel economy, HC, CO and NOx. Vehicle designers can use their own criteria to select optimal solutions from this population of trade-off optimal solutions.


Particle Swarm Optimization Design Variable Fuel Economy Drive Cycle Propose Optimization Algorithm 
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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