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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2015-06-01
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doaj-fc5bea04a46a40eeb7d61d13696131232020-11-25T00:52:28ZengMDPI AGSensors1424-82202015-06-01157149461495910.3390/s150714946s150714946Eco Assist Techniques through Real-time Monitoring of BEV Energy Usage EfficiencyYounsun Kim0Ingeol Lee1Sungho Kang2Department of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, KoreaDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, KoreaDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, KoreaEnergy 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%.http://www.mdpi.com/1424-8220/15/7/14946fuel economyeco drivingeco guideenergy usage efficiency |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Younsun Kim Ingeol Lee Sungho Kang |
spellingShingle |
Younsun Kim Ingeol Lee Sungho Kang Eco Assist Techniques through Real-time Monitoring of BEV Energy Usage Efficiency Sensors fuel economy eco driving eco guide energy usage efficiency |
author_facet |
Younsun Kim Ingeol Lee Sungho Kang |
author_sort |
Younsun Kim |
title |
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_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_sort |
eco assist techniques through real-time monitoring of bev energy usage efficiency |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2015-06-01 |
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%. |
topic |
fuel economy eco driving eco guide energy usage efficiency |
url |
http://www.mdpi.com/1424-8220/15/7/14946 |
work_keys_str_mv |
AT younsunkim ecoassisttechniquesthroughrealtimemonitoringofbevenergyusageefficiency AT ingeollee ecoassisttechniquesthroughrealtimemonitoringofbevenergyusageefficiency AT sunghokang ecoassisttechniquesthroughrealtimemonitoringofbevenergyusageefficiency |
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