Towards a Shanghai electric two-wheeler cycle (SE2WC)

Driving cycles are commonly used to estimate emissions and driving behavior. This is especially relevant for electric vehicles (EVs) as their power and range is limited. Typically, range optimization and control methods are based on approximating the real driving profile of the user. However, the driving profile might vary depending on the vehicle type, street conditions, and driver. Therefore, driving cycles build the basis for EV related control topics. However, most cycles are developed for emission testing of four-wheelers not for EVs or electric two-wheelers (E2Ws). Further, standardized driving cycles are often developed for European or American street conditions not Asian ones. Therefore, a first driving cycle for E2W in Shanghai is described using different driving cycle construction methods. More than 100 E2W driving cycles are collected for a daily commuting scenario in Shanghai. E2W in Shanghai are clustered into different power levels to compare the results. Further, four driving cycle construction methods are used to construct driving cycles and compared for their applicability. As a result, the constructed driving cycle using Markov chains is used as Shanghai E2W Driving Cycle (SE2WC). The SE2WC shows similarities to other Asian city cycles but also lower speeds and accelerations due to the lower E2W power.

[1]  Hung-Lung Chiang,et al.  Development of a local real world driving cycle for motorcycles for emission factor measurements , 2005 .

[2]  Matthieu Dubarry,et al.  From driving cycle analysis to understanding battery performance in real-life electric hybrid vehicle operation , 2007 .

[3]  Shuguang Ji,et al.  Electric vehicles in China: emissions and health impacts. , 2012, Environmental science & technology.

[4]  Gwo-Hshiung Tzeng,et al.  Developing A Taipei motorcycle driving cycle for emissions and fuel economy , 1998 .

[5]  Andrej Ivanco,et al.  Energy Management Strategies for Hybrid-Pneumatic Engine Studied on an Markov Chain Type Generated Driving Cycle , 2009 .

[6]  Maarten Steinbuch,et al.  Intelligent Synthesis of Driving Cycle for Advanced Design and Control of Powertrains , 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

[7]  Joan M. Ogden,et al.  The future of electric two-wheelers and electric vehicles in China , 2008 .

[8]  Tae-Kyung Lee,et al.  Synthesis of Real-World Driving Cycles and Their Use for Estimating PHEV Energy Consumption and Charging Opportunities: Case Study for Midwest/U.S. , 2011, IEEE Transactions on Vehicular Technology.

[9]  Yan Zhang,et al.  Research on Markov Property Analysis of Driving Cycle , 2013 .

[10]  M Maarten Steinbuch,et al.  Effects of using synthesized driving cycles on vehicle fuel consumption , 2017 .

[11]  Wing-tat Hung,et al.  Development of driving cycles for motorcycles and light-duty vehicles in Vietnam , 2011 .