Construction of electric vehicle driving cycle for studying electric vehicle energy consumption and equivalent emissions
- PDF / 3,210,841 Bytes
- 15 Pages / 595.276 x 790.866 pts Page_size
- 24 Downloads / 259 Views
ENVIRONMENTAL TOXICOLOGY AND BIOGEOCHEMISTRY OF ECOSYSTEMS
Construction of electric vehicle driving cycle for studying electric vehicle energy consumption and equivalent emissions Xuan Zhao 1 & Yiming Ye 1 & Jian Ma 1 & Peilong Shi 1 & Hao Chen 1 Received: 5 February 2020 / Accepted: 27 April 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract This paper proposes an effective and scientific method for the construction of a representative driving cycle for electric vehicles (EV) and takes it as a foundation for studying the energy consumption and equivalent emissions for EV. First, a test route is developed through the analysis of the topology of the Xi’an road structure and traffic flow. Second, the vehicle driving pattern data is gathered through an integrated method of chase car method and on-board method. The velocity-acceleration (V-A) grid method is used to divide speed and acceleration data into micro-states. Third, the proposed driving cycle construction method incorporates the Markov chain and Monte Carlo (MCMC) simulation method. Then, a filter process is designed to screen out the most representative driving cycle. Finally, the comparison of the simulation result and test results shows the constructed EV driving cycle is in line with reality, and estimating the EV’s energy consumption per kilometer, driving range, and equivalent emissions under official driving cycles results in large relative errors. Therefore, the construction of a real-world driving cycle for specific cities or areas is necessary to evaluate energy consumption, driving range, and equivalent emissions of EV. Keywords Driving cycle . Electric vehicle . Energy consumption . Equivalent emissions . Markov chain . Monte Carlo method
Introduction The problems of environmental disruption, air pollution, and fuel depletion are driving the development of electric vehicles (EV) (Zhang and Xiong 2015). The calculation of the energy consumption and driving range, the estimation of the state of charge, and the optimization of the energy management system for EV are usually based on the official driving cycles (Brady and O’Mahony 2016; Zhang et al. 2015; Liu et al. 2019; Chen et al. 2015; Xie et al. 2017). However, these developed official driving cycles are based on a fossil-fueled vehicle (FV). Definitely, the driving cycle of the EV is very different from the driving cycle of the FV, due to their differences in the torque characteristics, power characteristics (Chen et al. 2015; Dang et al. 2017; Wang et al. 2017), and braking characteristics (Hartani et al. 2009; Nadeau et al. 2014; Oleksowicz et al. 2013). Therefore, the estimation of Responsible Editor: Philippe Garrigues * Yiming Ye [email protected] 1
School of Automobile, Chang’an University, Xi’an, China
energy consumption, driving range, and the equivalent pollutant emissions for EV under the official driving cycles has caused a large error (Peng et al. 2016; Seers et al. 2015). According to the results of the existing studies, the EV’s energy consumption
Data Loading...
