Optimal energy management and storage sizing for electric vehicles

A. Deshpande, J. Taylor

Research output: Contribution to journalArticlepeer-review

Abstract

Combining storages with different characteristics can improve the performance and lifetime of electric vehicles. For example, a supercapacitor and a battery together can handle large power transfers from acceleration and regenerative braking while protecting the battery from degradation. In this paper, we use approximate dynamic programming to design a policy for power sharing between dual storage devices. We write the dynamic program as a linear program and use basis functions to approximate the optimal value function. Numerical results show that the resulting suboptimal policy can approximate the optimal policy with low error given a sufficient number of basis functions.

Original languageEnglish (US)
Pages (from-to)23-30
Number of pages8
JournalCIGRE Science and Engineering
Volume18
Issue numberJune
StatePublished - Jun 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Keywords

  • Approximate dynamic programming
  • Batteries
  • Electric vehicles
  • Supercapacitors

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