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Integrated optimization of battery sizing, charging, and power management in plug-in hybrid electric vehicles

Xiaosong Hu (Institutionen för signaler och system, Reglerteknik) ; Scott J. Moura ; Nikolce Murgovski (Institutionen för signaler och system, Mekatronik) ; Bo Egardt (Institutionen för signaler och system, Reglerteknik) ; Dongpu Cao
IEEE Transactions on Control Systems Technology (1063-6536). Vol. 24 (2016), 3, p. 1036-1043.
[Artikel, refereegranskad vetenskaplig]

This brief presents an integrated optimization framework for battery sizing, charging, and on-road power management in plug-in hybrid electric vehicles. This framework utilizes convex programming to assess interactions between the three optimal design/control tasks. The objective is to minimize carbon dioxide (CO2) emissions, from the on-board internal combustion engine and grid generation plants providing electrical recharge power. The impacts of varying daily grid CO2 trajectories on both the optimal battery size and charging/power management algorithms are analyzed. We find that the level of grid CO2 emissions can significantly impact the nature of emission-optimal on-road power management. We also observe that the on-road power management strategy is the most important design task for minimizing emissions, through a variety of comparative studies.

Nyckelord: Charging control, component sizing, convex optimization, energy management, plug-in hybrid electric vehicle (PHEV), sustainable transportation

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Denna post skapades 2016-01-18. Senast ändrad 2016-07-24.
CPL Pubid: 230887


Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik (2005-2017)
Institutionen för signaler och system, Mekatronik (2005-2017)


Hållbar utveckling
Optimeringslära, systemteori

Chalmers infrastruktur