Simulation of a distance estimator for battery electric vehicle

Abstract Battery Electric Vehicle (BEV) is a promising candidate in reducing air pollution and fossil fuel dependencies. It is a growing market for the automobile manufacturers. Although there are many advantages of driving a BEV, it is still not widely accepted in the market due to the limited driving range. Other than just improving the technologies that drive the vehicle, an additional range estimation system can calm the ‘range anxiety’ caused by the limited range of BEVs. Merely predicting the range based on the state of charge of the battery, the average driving speed, and the average power consumption is inadequate. This paper proposes a new range estimator, the dynamic range estimator, which also takes into account the driving behavior, in addition to the slopes of the trip for its energy estimation. The driving behavior is obtained based on the response to speed error and the time delay between throttle pedal and brake pedal switching. In this way, the driving behavior is a fixed response for any driving speeds on the same route thus, allowing the energy consumption to be compared for different speeds.

[1]  Kang G. Shin,et al.  Real-time prediction of battery power requirements for electric vehicles , 2013, 2013 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS).

[2]  Yu Han Gan Contour Positioning System (CPS) – a novel range prediction technique for electric vehicles using simulations , 2013 .

[3]  Jo Yung Wong,et al.  Theory of ground vehicles , 1978 .

[4]  John G. Hayes,et al.  Simplified electric vehicle power train models and range estimation , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.

[5]  Z. J. Cendes,et al.  In-Depth Study of the Torque Constant for Permanent-Magnet Machines , 2009 .

[6]  Bhalchandra Hardas,et al.  Design of Automatic Car Breaking System Using Fuzzy Logic and PID Controller , 2014, 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies.

[7]  B T Davies,et al.  Preliminary Investigation of Movement Time Between Brake and Accelerator Pedals in Automobiles , 1969, Human factors.

[8]  Susan Curran The driver's handbook , 1997 .

[9]  Zhang Guirong,et al.  The Driving Control of Pure Electric Vehicle , 2011 .

[10]  B. Varga Electric vehicles, primary energy sources and CO2 emissions: Romanian case study , 2013 .

[11]  B. Allen,et al.  Do you feel lucky? Why current range estimation methods are holding back EV adoption , 2013 .

[12]  Yuhe Zhang,et al.  Remaining driving range estimation of electric vehicle , 2012, 2012 IEEE International Electric Vehicle Conference.