Automated Evolutionary Design of a Hybrid-Electric Vehicle Power System Using Distributed Heterogeneous Optimization 2006-01-3045
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.
Citation: Aliprantis, D., Wasynczuk, O., Wu, N., Lucas, C. et al., "Automated Evolutionary Design of a Hybrid-Electric Vehicle Power System Using Distributed Heterogeneous Optimization," SAE Technical Paper 2006-01-3045, 2006, https://doi.org/10.4271/2006-01-3045. Download Citation
Dionysios C. Aliprantis, Oleg Wasynczuk, Ning Wu, Charles Eric Lucas, M. Abul Masrur
Purdue University, PC Krause and Associates, Inc., US Army RDECOM-TARDEC