Optimization of Power Train and Control Strategy of a Hybrid Electric Vehicle for Maximum Energy Economy
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| Formato: | Artículo científico |
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Universidad Nacional Autónoma de México
2013
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| _version_ | 1876446752624607232 |
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| author | C. Osornio-Correa |
| author_facet | C. Osornio-Correa |
| contents | Optimization of Power Train and Control Strategy of a Hybrid Electric Vehicle for Maximum Energy Economy C. Osornio-Correa R.C. Villarreal-Calva A. Molina-Cristóbal J. Estavillo-Galsworthy S.D. Santillán-Gutiérrez Ingeniería multi control strategy objective optimization heuristic optimization Hybrid Electric Vehicle A solution to increase fuel economy in Hybrid Electric Vehicles derived from physical characteristics of the vehicle, the powertrain and the control strategy is presented. A heuristic Control Map is created to analyze the restrictions and benefits of using either of the onboard power plants under different driving conditions. The control strategy follows the Control Map with a logic that responds to the Battery State of Charge. Finally, a case study demonstrates the increase in fuel economy and charge sustainability; here, the variables studied are submitted to a Multi-Objective Genetic Algorithm Optimization. 2013 artículo científico 1405-7743 https://www.redalyc.org/articulo.oa?id=40425635006 http://www.redalyc.org/revista.oa?id=404 Ingeniería. Investigación y Tecnología application/pdf Universidad Nacional Autónoma de México Ingeniería. Investigación y Tecnología (México) Num.1 Vol.XIV |
| format | Artículo científico |
| id | redalyc_40425635006 |
| institution | Redalyc |
| language | |
| publishDate | 2013 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Optimization of Power Train and Control Strategy of a Hybrid Electric Vehicle for Maximum Energy Economy C. Osornio-Correa Ingeniería multi control strategy objective optimization heuristic optimization Hybrid Electric Vehicle Optimization of Power Train and Control Strategy of a Hybrid Electric Vehicle for Maximum Energy Economy C. Osornio-Correa R.C. Villarreal-Calva A. Molina-Cristóbal J. Estavillo-Galsworthy S.D. Santillán-Gutiérrez Ingeniería multi control strategy objective optimization heuristic optimization Hybrid Electric Vehicle A solution to increase fuel economy in Hybrid Electric Vehicles derived from physical characteristics of the vehicle, the powertrain and the control strategy is presented. A heuristic Control Map is created to analyze the restrictions and benefits of using either of the onboard power plants under different driving conditions. The control strategy follows the Control Map with a logic that responds to the Battery State of Charge. Finally, a case study demonstrates the increase in fuel economy and charge sustainability; here, the variables studied are submitted to a Multi-Objective Genetic Algorithm Optimization. 2013 artículo científico 1405-7743 https://www.redalyc.org/articulo.oa?id=40425635006 http://www.redalyc.org/revista.oa?id=404 Ingeniería. Investigación y Tecnología application/pdf Universidad Nacional Autónoma de México Ingeniería. Investigación y Tecnología (México) Num.1 Vol.XIV |
| title | Optimization of Power Train and Control Strategy of a Hybrid Electric Vehicle for Maximum Energy Economy |
| topic | Ingeniería multi control strategy objective optimization heuristic optimization Hybrid Electric Vehicle |
| url | https://www.redalyc.org/articulo.oa?id=40425635006 |