Charge trajectory optimization of plug-in hybrid electric vehicles for energy cost reduction and battery health enhancement

Saeid Bashash; Scott J. Moura; Hosam K. Fathy

doi:10.1109/acc.2010.5530497

Charge trajectory optimization of plug-in hybrid electric vehicles for energy cost reduction and battery health enhancement

Saeid Bashash, Scott J. Moura, Hosam K. Fathy

Materials Research Institute (MRI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

35 Scopus citations

Abstract

This paper examines the problem of optimizing the charge trajectory of a plug-in hybrid electric vehicle (PHEV), defined as the timing and rate with which the PHEV obtains electricity from the power grid. Two objectives are considered in this optimization. First, we minimize the total cost of fuel and electricity consumed by the PHEV over a 24-hour naturalistic drive cycle. We predict this cost using a previously-developed stochastic optimal PHEV power management strategy. Second, we also minimize total battery health degradation over the course of the 24-hour cycle. This degradation is predicted using an electrochemistry-based model of anode-side resistive film formation in Li-ion batteries. The paper shows that these two objectives are conflicting, and trades them off using a non-dominated sort genetic algorithm, NSGA-II. As a result, a Pareto front of optimal PHEV charge trajectories is obtained. The effects of electricity price and trip schedule on the Pareto front are analyzed and discussed.

Original language	English (US)
Title of host publication	Proceedings of the 2010 American Control Conference, ACC 2010
Publisher	IEEE Computer Society
Pages	5824-5831
Number of pages	8
ISBN (Print)	9781424474264
DOIs	https://doi.org/10.1109/acc.2010.5530497
State	Published - 2010

Publication series

Name	Proceedings of the 2010 American Control Conference, ACC 2010

All Science Journal Classification (ASJC) codes

Control and Systems Engineering

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10.1109/acc.2010.5530497

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Bashash, S., Moura, S. J., & Fathy, H. K. (2010). Charge trajectory optimization of plug-in hybrid electric vehicles for energy cost reduction and battery health enhancement. In Proceedings of the 2010 American Control Conference, ACC 2010 (pp. 5824-5831). Article 5530497 (Proceedings of the 2010 American Control Conference, ACC 2010). IEEE Computer Society. https://doi.org/10.1109/acc.2010.5530497

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abstract = "This paper examines the problem of optimizing the charge trajectory of a plug-in hybrid electric vehicle (PHEV), defined as the timing and rate with which the PHEV obtains electricity from the power grid. Two objectives are considered in this optimization. First, we minimize the total cost of fuel and electricity consumed by the PHEV over a 24-hour naturalistic drive cycle. We predict this cost using a previously-developed stochastic optimal PHEV power management strategy. Second, we also minimize total battery health degradation over the course of the 24-hour cycle. This degradation is predicted using an electrochemistry-based model of anode-side resistive film formation in Li-ion batteries. The paper shows that these two objectives are conflicting, and trades them off using a non-dominated sort genetic algorithm, NSGA-II. As a result, a Pareto front of optimal PHEV charge trajectories is obtained. The effects of electricity price and trip schedule on the Pareto front are analyzed and discussed.",

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Bashash, S, Moura, SJ & Fathy, HK 2010, Charge trajectory optimization of plug-in hybrid electric vehicles for energy cost reduction and battery health enhancement. in Proceedings of the 2010 American Control Conference, ACC 2010., 5530497, Proceedings of the 2010 American Control Conference, ACC 2010, IEEE Computer Society, pp. 5824-5831. https://doi.org/10.1109/acc.2010.5530497

Charge trajectory optimization of plug-in hybrid electric vehicles for energy cost reduction and battery health enhancement. / Bashash, Saeid; Moura, Scott J.; Fathy, Hosam K.
Proceedings of the 2010 American Control Conference, ACC 2010. IEEE Computer Society, 2010. p. 5824-5831 5530497 (Proceedings of the 2010 American Control Conference, ACC 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Charge trajectory optimization of plug-in hybrid electric vehicles for energy cost reduction and battery health enhancement

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