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

Kim Y, Lee I, Kang S - Sensors (Basel) (2015)

Bottom Line: 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%.

View Article: PubMed Central - PubMed

Affiliation: Department of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Korea. younsunny.kim@gmail.com.

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%.

No MeSH data available.


Related in: MedlinePlus

(a) Real-time embedded system; (b) Block diagram for algorithms.
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sensors-15-14946-f005: (a) Real-time embedded system; (b) Block diagram for algorithms.

Mentions: A real-time embedded system is developed using the Freescale i.MX6 ARD reference board as shown in Figure 5a. Ubuntu-based Linux is used as the operating system, and the GUI implementation is done with the Qt programming tool. All of the algorithms, which are comprised of driving pattern analysis, energy efficiency analysis and eco coaching, are implemented using the C and C++ programming languages. Since this sensory information is limitedly obtained from an on-board diagnostics port such as OBDII, almost all sensory information is acquired from the VCM. The CAN Bus channel is used to get information for the vehicle dynamics state, and it is not only capable of reading the various vehicular parameters, but also of detecting variables from the vehicle environment by using several vehicle sensors in real-time. The monitored features cover the battery current, battery voltage, vehicle speed, accelerator pedal stroke, brake pedal stroke and other vehicle dynamics information as shown in Figure 5b.


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

Kim Y, Lee I, Kang S - Sensors (Basel) (2015)

(a) Real-time embedded system; (b) Block diagram for algorithms.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541816&req=5

sensors-15-14946-f005: (a) Real-time embedded system; (b) Block diagram for algorithms.
Mentions: A real-time embedded system is developed using the Freescale i.MX6 ARD reference board as shown in Figure 5a. Ubuntu-based Linux is used as the operating system, and the GUI implementation is done with the Qt programming tool. All of the algorithms, which are comprised of driving pattern analysis, energy efficiency analysis and eco coaching, are implemented using the C and C++ programming languages. Since this sensory information is limitedly obtained from an on-board diagnostics port such as OBDII, almost all sensory information is acquired from the VCM. The CAN Bus channel is used to get information for the vehicle dynamics state, and it is not only capable of reading the various vehicular parameters, but also of detecting variables from the vehicle environment by using several vehicle sensors in real-time. The monitored features cover the battery current, battery voltage, vehicle speed, accelerator pedal stroke, brake pedal stroke and other vehicle dynamics information as shown in Figure 5b.

Bottom Line: 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%.

View Article: PubMed Central - PubMed

Affiliation: Department of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Korea. younsunny.kim@gmail.com.

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%.

No MeSH data available.


Related in: MedlinePlus