Integrated optimization of battery sizing, charging, and power management in plug-in hybrid electric vehicles
Artikel i vetenskaplig tidskrift, 2016

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.

convex optimization

Charging control

sustainable transportation

component sizing

plug-in hybrid electric vehicle (PHEV)

energy management

Författare

Xiaosong Hu

Signaler och system, System- och reglerteknik, Reglerteknik

Scott J. Moura

University of California

Nikolce Murgovski

Signaler och system, System- och reglerteknik, Mekatronik

Bo Egardt

Signaler och system, System- och reglerteknik, Reglerteknik

Dongpu Cao

Cranfield University

IEEE Transactions on Control Systems Technology

1063-6536 (ISSN)

Vol. 24 1036-1043

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Ämneskategorier

Beräkningsmatematik

Energisystem

Reglerteknik

DOI

10.1109/TCST.2015.2476799