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A High Fuel Consumption Efficiency Management Scheme for PHEVs Using an Adaptive Genetic Algorithm

A high fuel efficiency management scheme for plug-in hybrid electric vehicles (PHEVs) has been developed. In order to achieve fuel consumption reduction, an adaptive genetic algorithm scheme has been designed to adaptively manage the energy resource usage. The objective function of the genetic algor...

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Autores principales: Lee, Wah Ching, Tsang, Kim Fung, Chi, Hao Ran, Hung, Faan Hei, Wu, Chung Kit, Chui, Kwok Tai, Lau, Wing Hong, Leung, Yat Wah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327074/
https://www.ncbi.nlm.nih.gov/pubmed/25587974
http://dx.doi.org/10.3390/s150101245
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author Lee, Wah Ching
Tsang, Kim Fung
Chi, Hao Ran
Hung, Faan Hei
Wu, Chung Kit
Chui, Kwok Tai
Lau, Wing Hong
Leung, Yat Wah
author_facet Lee, Wah Ching
Tsang, Kim Fung
Chi, Hao Ran
Hung, Faan Hei
Wu, Chung Kit
Chui, Kwok Tai
Lau, Wing Hong
Leung, Yat Wah
author_sort Lee, Wah Ching
collection PubMed
description A high fuel efficiency management scheme for plug-in hybrid electric vehicles (PHEVs) has been developed. In order to achieve fuel consumption reduction, an adaptive genetic algorithm scheme has been designed to adaptively manage the energy resource usage. The objective function of the genetic algorithm is implemented by designing a fuzzy logic controller which closely monitors and resembles the driving conditions and environment of PHEVs, thus trading off between petrol versus electricity for optimal driving efficiency. Comparison between calculated results and publicized data shows that the achieved efficiency of the fuzzified genetic algorithm is better by 10% than existing schemes. The developed scheme, if fully adopted, would help reduce over 600 tons of CO(2) emissions worldwide every day.
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spelling pubmed-43270742015-02-23 A High Fuel Consumption Efficiency Management Scheme for PHEVs Using an Adaptive Genetic Algorithm Lee, Wah Ching Tsang, Kim Fung Chi, Hao Ran Hung, Faan Hei Wu, Chung Kit Chui, Kwok Tai Lau, Wing Hong Leung, Yat Wah Sensors (Basel) Article A high fuel efficiency management scheme for plug-in hybrid electric vehicles (PHEVs) has been developed. In order to achieve fuel consumption reduction, an adaptive genetic algorithm scheme has been designed to adaptively manage the energy resource usage. The objective function of the genetic algorithm is implemented by designing a fuzzy logic controller which closely monitors and resembles the driving conditions and environment of PHEVs, thus trading off between petrol versus electricity for optimal driving efficiency. Comparison between calculated results and publicized data shows that the achieved efficiency of the fuzzified genetic algorithm is better by 10% than existing schemes. The developed scheme, if fully adopted, would help reduce over 600 tons of CO(2) emissions worldwide every day. MDPI 2015-01-12 /pmc/articles/PMC4327074/ /pubmed/25587974 http://dx.doi.org/10.3390/s150101245 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Wah Ching
Tsang, Kim Fung
Chi, Hao Ran
Hung, Faan Hei
Wu, Chung Kit
Chui, Kwok Tai
Lau, Wing Hong
Leung, Yat Wah
A High Fuel Consumption Efficiency Management Scheme for PHEVs Using an Adaptive Genetic Algorithm
title A High Fuel Consumption Efficiency Management Scheme for PHEVs Using an Adaptive Genetic Algorithm
title_full A High Fuel Consumption Efficiency Management Scheme for PHEVs Using an Adaptive Genetic Algorithm
title_fullStr A High Fuel Consumption Efficiency Management Scheme for PHEVs Using an Adaptive Genetic Algorithm
title_full_unstemmed A High Fuel Consumption Efficiency Management Scheme for PHEVs Using an Adaptive Genetic Algorithm
title_short A High Fuel Consumption Efficiency Management Scheme for PHEVs Using an Adaptive Genetic Algorithm
title_sort high fuel consumption efficiency management scheme for phevs using an adaptive genetic algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327074/
https://www.ncbi.nlm.nih.gov/pubmed/25587974
http://dx.doi.org/10.3390/s150101245
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