Integrated Optimization of Battery Sizing, Charging, and Power Management in Plug-In Hybrid Electric Vehicles

Abstract: 

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.

Author: 
Hu, Xiaosong
Moura, Scott J.
Murgovski, Nikolce
Egardt, Bo
Cao, Dongpu
Publication date: 
May 1, 2016
Publication type: 
Journal Article
Citation: 
Hu, X., Moura, S. J., Murgovski, N., Egardt, B., & Cao, D. (2016). Integrated Optimization of Battery Sizing, Charging, and Power Management in Plug-In Hybrid Electric Vehicles. IEEE Transactions on Control Systems Technology, 24(3), 1036–1043. https://doi.org/10.1109/TCST.2015.2476799