To discuss the differences between conducting WLTC, partial WLTC (consisting of Low, Medium, and High), and CLTCP in the energy consumption test of electric vehicles, this study compares the characteristics of WLTC, partial WLTC, and CLTC-P, including running characteristics, energy demand, regenerative energy, then conducts energy consumption test to verify the theoretical analysis. The results show that the running characteristics of the partial WLTC, WLTC, and CLTCP test cycles are significantly different. The average speed, maximum average acceleration, and deceleration of partial WLTC are higher than CLTC-P, and the idle ratio is lower than CLTC-P. According to energy consumption test results, the energy consumption under WLTC is 25.9% higher than CLTC-P, and the energy consumption under partial WLTC is still higher than CLTC-P, with a difference of 4.5%.
Traffic flow prediction can provide data support for urban traffic planning, vehicle running conditions, and other fields. Based on the urban survey data, a multi-scale traffic flow model is proposed, and the characteristics of the traffic flow in Xi'an are analyzed. The results show that the relative error of the proposed multi-scale traffic flow model is less than 15% when predicting the traffic flow of the whole urban road network.
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