The optimal design of hybrid-electric vehicle power systems poses a challenge to the system analyst, who is presented with a host of parameters to fine-tune, along with stringent performance criteria and multiple design objectives to meet. Herein, a methodology is presented to transform such a design task into a constrained multi-objective optimization problem, which is solved using a distributed evolutionary algorithm. A power system model representative of a series hybrid-electric vehicle is considered as a paradigm to support the illustration of the proposed methodology, with particular emphasis on the power system's time-domain performance.
Automated Evolutionary Design of a Hybrid-Electric Vehicle Power System Using Distributed Heterogeneous Optimization
Sae Technical Papers
Power Systems Conference ; 2006
07.11.2006
Aufsatz (Konferenz)
Englisch
SAE Technical Papers | 2006
|Automated Aerodynamic Vehicle Shape Optimization Using Neural Networks and Evolutionary Optimization
SAE Technical Papers | 2015
|