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Eco Assist Techniques through Real-time Monitoring of BEV Energy Usage Efficiency

Energy efficiency enhancement has become an increasingly important issue for battery electric vehicles. Even if it can be improved in many ways, the driver’s driving pattern strongly influences the battery energy consumption of a vehicle. In this paper, eco assist techniques to simply implement an e...

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Detalles Bibliográficos
Autores principales: Kim, Younsun, Lee, Ingeol, Kang, Sungho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541816/
https://www.ncbi.nlm.nih.gov/pubmed/26121611
http://dx.doi.org/10.3390/s150714946
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author Kim, Younsun
Lee, Ingeol
Kang, Sungho
author_facet Kim, Younsun
Lee, Ingeol
Kang, Sungho
author_sort Kim, Younsun
collection PubMed
description Energy efficiency enhancement has become an increasingly important issue for battery electric vehicles. Even if it can be improved in many ways, the driver’s driving pattern strongly influences the battery energy consumption of a vehicle. In this paper, eco assist techniques to simply implement an energy-efficient driving assistant system are introduced, including eco guide, eco control and eco monitoring methods. The eco guide is provided to control the vehicle speed and accelerator pedal stroke, and eco control is suggested to limit the output power of the battery. For eco monitoring, the eco indicator and eco report are suggested to teach eco-friendly driving habits. The vehicle test, which is done in four ways, consists of federal test procedure (FTP)-75, new european driving cycle (NEDC), city and highway cycles, and visual feedback with audible warnings is provided to attract the driver’s voluntary participation. The vehicle test result shows that the energy usage efficiency can be increased up to 19.41%.
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spelling pubmed-45418162015-08-26 Eco Assist Techniques through Real-time Monitoring of BEV Energy Usage Efficiency Kim, Younsun Lee, Ingeol Kang, Sungho Sensors (Basel) Article Energy efficiency enhancement has become an increasingly important issue for battery electric vehicles. Even if it can be improved in many ways, the driver’s driving pattern strongly influences the battery energy consumption of a vehicle. In this paper, eco assist techniques to simply implement an energy-efficient driving assistant system are introduced, including eco guide, eco control and eco monitoring methods. The eco guide is provided to control the vehicle speed and accelerator pedal stroke, and eco control is suggested to limit the output power of the battery. For eco monitoring, the eco indicator and eco report are suggested to teach eco-friendly driving habits. The vehicle test, which is done in four ways, consists of federal test procedure (FTP)-75, new european driving cycle (NEDC), city and highway cycles, and visual feedback with audible warnings is provided to attract the driver’s voluntary participation. The vehicle test result shows that the energy usage efficiency can be increased up to 19.41%. MDPI 2015-06-25 /pmc/articles/PMC4541816/ /pubmed/26121611 http://dx.doi.org/10.3390/s150714946 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
Kim, Younsun
Lee, Ingeol
Kang, Sungho
Eco Assist Techniques through Real-time Monitoring of BEV Energy Usage Efficiency
title Eco Assist Techniques through Real-time Monitoring of BEV Energy Usage Efficiency
title_full Eco Assist Techniques through Real-time Monitoring of BEV Energy Usage Efficiency
title_fullStr Eco Assist Techniques through Real-time Monitoring of BEV Energy Usage Efficiency
title_full_unstemmed Eco Assist Techniques through Real-time Monitoring of BEV Energy Usage Efficiency
title_short Eco Assist Techniques through Real-time Monitoring of BEV Energy Usage Efficiency
title_sort eco assist techniques through real-time monitoring of bev energy usage efficiency
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541816/
https://www.ncbi.nlm.nih.gov/pubmed/26121611
http://dx.doi.org/10.3390/s150714946
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