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 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%.

[1]  Chunming Qiao,et al.  Vehicle speed control algorithms for eco-driving , 2013, 2013 International Conference on Connected Vehicles and Expo (ICCVE).

[2]  Farid Touati,et al.  Development of energy efficient battery electric car for Shell Eco-Marathon competition - Qatar University experience , 2014, 2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER).

[3]  Michael E. Theologou,et al.  Machine-learning methodology for energy efficient routing , 2012 .

[4]  Lars Schmidt-Thieme,et al.  Realistic optimal policies for energy-efficient train driving , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[5]  Shuichi Matsumoto,et al.  Fundamental study on effect of preceding vehicle information on fuel consumption reduction of a vehicle group , 2013, Journal of Communications and Networks.

[6]  Thomas Engel,et al.  A novel eco-driving application to reduce energy consumption of electric vehicles , 2013, 2013 International Conference on Connected Vehicles and Expo (ICCVE).

[7]  Antonio Piccolo,et al.  An algorithm to optimize speed profiles of the metro vehicles for minimizing energy consumption , 2014, 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion.

[8]  Caroline Schiebi,et al.  Identification and analysis of motives for eco-friendly driving within the eco-move project , 2013 .

[9]  Elgar Fleisch,et al.  Direct or indirect sensor enabled eco-driving feedback: Which preference do corporate car drivers have? , 2012, 2012 3rd IEEE International Conference on the Internet of Things.

[10]  Milos Manic,et al.  Driving behavior prompting framework for improving fuel efficiency , 2014, 2014 7th International Conference on Human System Interactions (HSI).

[11]  Christian W. Frey,et al.  Fuel efficiency driver assistance system for manufacturer independent solutions , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

[12]  Markus Lienkamp,et al.  Evaluation of driving behavior and the efficacy of a predictive eco-driving assistance system for heavy commercial vehicles in a driving simulator experiment , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

[13]  Patrick Gruber,et al.  Enhancing the Energy Efficiency of Fully Electric Vehicles via the Minimization of Motor Power Losses , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

[14]  Ardalan Vahidi,et al.  An Optimal Velocity-Planning Scheme for Vehicle Energy Efficiency Through Probabilistic Prediction of Traffic-Signal Timing , 2014, IEEE Transactions on Intelligent Transportation Systems.

[15]  Martin Treiber,et al.  Fuel Consumption and Emissions , 2013 .

[16]  Tsutomu Suzuki,et al.  Comparative measurements of the eco-driving effect between electric and internal combustion engine vehicles , 2013, 2013 World Electric Vehicle Symposium and Exhibition (EVS27).

[17]  Carlos Canudas de Wit,et al.  Urban traffic Eco-Driving: A macroscopic steady-state analysis , 2014, 2014 European Control Conference (ECC).

[18]  Husnain Malik,et al.  Fuel consumption and gas emissions of an automatic transmission vehicle following simple eco-driving instructions on urban roads , 2014 .

[19]  Sam Akehurst,et al.  Development and Field Trial of a Driver Assistance System to Encourage Eco-Driving in Light Commercial Vehicle Fleets , 2013, IEEE Transactions on Intelligent Transportation Systems.

[20]  Qi Cheng,et al.  A new eco-driving assistance system for a light vehicle: Energy management and speed optimization , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).

[21]  Bart van Arem,et al.  Energy efficient traffic management and control - the eCoMove approach and expected benefits , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.