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

Author

Xiaosong Hu

Chalmers, Signals and Systems, Systems and control, Automatic Control

Scott J. Moura

University of California

Nikolce Murgovski

Chalmers, Signals and Systems, Systems and control, Mechatronics

Bo Egardt

Chalmers, Signals and Systems, Systems and control, Automatic Control

Dongpu Cao

Cranfield University

IEEE Transactions on Control Systems Technology

1063-6536 (ISSN)

Vol. 24 3 1036-1043

Driving Forces

Sustainable development

Areas of Advance

Transport

Subject Categories

Computational Mathematics

Energy Systems

Control Engineering

DOI

10.1109/TCST.2015.2476799

More information

Latest update

4/20/2018