Abstract
The driving cycle is a speed-to-time curve, a fundamental technique in the automotive industry, and also a basis to set standards for fuel consumption and emissions of vehicles. A driving cycle is developed based on firsthand driving data collected from fieldwork. First, bad data in the original dataset are preprocessed, the time-series standard smoothing algorithm is used to smoothen the data, and Lagrange’s interpolation is used to realize data interpolation. Next, the rules for kinematic fragment extraction are set to divide the data into kinematic fragments. Last, an evaluation system of kinematic fragment feature parameters is built. On that basis, the K-means clustering method is used to cluster the dimensionally reduced data, and the adaptive mutation particle swarm optimization (AMPSO) algorithm is employed to select the optimal fragments from candidate fragments to develop a driving cycle. The experiment result shows that the developed driving cycle can represent the kinematic features of the experiment car and provides a basis for the development of a driving cycle for Fuzhou.
Highlights
Energy consumption and exhaust emissions are two major issues the automotive industry needs to address [1]
A car driving cycle is a curve representing the speed of a vehicle versus time; it is a common fundamental technique that the automotive industry employs to simulate actual traffic conditions [4], assess energy economy [5], and exhaust emissions [6]
New European Driving Cycle (NEDC) is currently used in China to assess energy economy and emission levels, but it is a modal cycle constructed based on ideal conditions that are unachievable in reality [9], consisting of fragments of constant-speed modes, constant acceleration modes, and constant deceleration modes [10]
Summary
A car driving cycle is a curve representing the speed of a vehicle versus time; it is a common fundamental technique that the automotive industry employs to simulate actual traffic conditions [4], assess energy economy [5], and exhaust emissions [6]. NEDC is currently used in China to assess energy economy and emission levels, but it is a modal cycle constructed based on ideal conditions that are unachievable in reality [9], consisting of fragments of constant-speed modes, constant acceleration modes, and constant deceleration modes [10]. 2. Methods e sample data used in this study are obtained from field surveys on roads in Fuzhou by a university to research on the driving cycle of lightweight cars. With regard to data of abnormal acceleration and deceleration in the first group, the range of acceleration/deceleration is set as [−8 m/s2, 4 m/s2] according to the Specifications of Acceleration and Deceleration for Coach
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