publication . Article . 2006

application of genetic algorithm for simultaneous optimisation of hev component sizing and control strategy

Morteza Montazeri Gh; Amir Poursamad;
  • Published: 03 Sep 2006 Journal: International Journal of Alternative Propulsion, volume 1, page 63 (issn: 1471-0234, eissn: 1741-8011, Copyright policy)
  • Publisher: Inderscience Publishers
This paper describes a methodological approach for the simultaneous optimisation of Hybrid Electric Vehicle (HEV) component sizing and control strategy using Genetic Algorithm (GA). In this approach, using a parallel HEV configuration and an Electric Assist Control Strategy (EACS), the optimisation problem is formulated. The whole set of sizing and control variables is then encoded as the chromosomes. The multi-objective target is also defined to minimise the Fuel Consumption (FC) and emissions. In addition, the PNGV performance requirements are considered as constraints. Finally, to evaluate the objective function, three driving cycles, ECE-EUDC, FTP and TEH-CA...
free text keywords: General Energy, General Engineering, Engineering, business.industry, business, Genetic algorithm, Sizing, Automotive engineering, Control variable, Electric vehicle, business.product_category, Fuel efficiency, File Transfer Protocol
Related Organizations
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue