Abstract
As increasing numbers of electric vehicles (EVs) enter into the society, the charging behavior of EVs has got lots of attention due to its economical difference within the electricity market. The charging cost for EVs generally differ from each other in choosing the charging time interval (hourly), since the hourly electricity prices are different in the market. In this paper, the problem is formulated into an optimal control one and solved by dynamic programming. Optimization aims to find the economically optimal charging solution for each vehicle. In this paper, a nonlinear battery model is characterized and presented, and a given future electricity prices is assumed and utilized. Simulation results indicate that daily charing cost is reduced by smart charing.
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Acknowledgments
This work was supported in part by the National Natural Science Foundation of China (grant no. 61005090, 61034004, 61075064, 61003053), the Program for New Century Excellent Talents in University of Ministry of Education of China (grant no. NECT-10-0633), the PhD Programs Foundation of Ministry of Education of China (grant no. 20100072110038), the International S&T Cooperation Program from Ministry of Science and Technology of China (grant no.2011DFG13020), the Shanxi Province Natural Science Foundation of China (grant no. 2011011012-1), and the Program for the Top Young Academic Leaders of Higher Learning Institutions of Shanxi.
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Lan, T., Hu, J., Kang, Q. et al. Optimal control of an electric vehicle’s charging schedule under electricity markets. Neural Comput & Applic 23, 1865–1872 (2013). https://doi.org/10.1007/s00521-012-1180-2
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DOI: https://doi.org/10.1007/s00521-012-1180-2