Abstract
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%.
| Original language | English |
|---|---|
| Pages (from-to) | 14946-14959 |
| Number of pages | 14 |
| Journal | Sensors (Switzerland) |
| Volume | 15 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 2015 Jun 25 |
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All Science Journal Classification (ASJC) codes
- Analytical Chemistry
- Atomic and Molecular Physics, and Optics
- Biochemistry
- Instrumentation
- Electrical and Electronic Engineering
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Eco assist techniques through real-time monitoring of BEv energy usage efficiency. / Kim, Younsun; Lee, Ingeol; Kang, Sungho.
In: Sensors (Switzerland), Vol. 15, No. 7, 25.06.2015, p. 14946-14959.Research output: Contribution to journal › Article
TY - JOUR
T1 - Eco assist techniques through real-time monitoring of BEv energy usage efficiency
AU - Kim, Younsun
AU - Lee, Ingeol
AU - Kang, Sungho
PY - 2015/6/25
Y1 - 2015/6/25
N2 - 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%.
AB - 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%.
UR - http://www.scopus.com/inward/record.url?scp=84933574611&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84933574611&partnerID=8YFLogxK
U2 - 10.3390/s150714946
DO - 10.3390/s150714946
M3 - Article
AN - SCOPUS:84933574611
VL - 15
SP - 14946
EP - 14959
JO - Sensors
JF - Sensors
SN - 1424-3210
IS - 7
ER -