Dynamic Traffic Feedback Data Enabled Energy Management in Plug-in Hybrid Electric Vehicles

Chao Sun(Beijing Institute of Technology), Fengchun Sun(Kangwon National University), Scott Moura(University of California, Berkeley), J. Karl Hedrick(University of California, Berkeley)
IEEE Transactions on Control Systems Technology
October 20, 2014
10.1109/tcst.2014.2361294
Cited by 330

Related Papers

Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
|IEEE Access|2017|950
A review of supercapacitor modeling, estimation, and applications: A control/management perspective
|Renewable and Sustainable Energy Reviews|2017|921
State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model
|IEEE Transactions on Vehicular Technology|2011|785
Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives
|Renewable and Sustainable Energy Reviews|2020|699
Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles
|Energy|2011|602