most citedOptimal Thermal Management and Charging of Battery Electric Vehicles over Long Trips

4 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2022

Computationally Efficient Approach for Preheating of Battery Electric Vehicles before Fast Charging in Cold Climates

Ahad Hamednia, Jimmy Forsman, Nikolce Murgovski +2

This paper investigates battery preheating before fast charging, for a battery electric vehicle (BEV) driving in a cold climate. To prevent the battery from performance degradation…

math.OC2022

Quadratic approximation based heuristic for optimization-based coordination of automated vehicles in confined areas

Stefan Kojchev, Robert Hult, Jonas Fredriksson

We investigate the problem of coordinating multiple automated vehicles (AVs) in confined areas. This problem can be formulated as an optimal control problem (OCP) where the motion…

eess.SY2022

Optimization based coordination of autonomous vehicles in confined areas

Stefan Kojchev, Robert Hult, Jonas Fredriksson

Confined areas present an opportunity for early deployment of autonomous vehicles (AV) due to the absence of non-controlled traffic participants. In this paper, we present an appro…

eess.SY20224 cited

Optimal Thermal Management and Charging of Battery Electric Vehicles over Long Trips

Ahad Hamednia, Victor Hanson, Jiaming Zhao +5

This paper studies optimal thermal management and charging of a battery electric vehicle driving over long distance trips. The focus is on the potential benefits of including a hea…

eess.SY2022

Optimal Thermal Management, Charging, and Eco-driving of Battery Electric Vehicles

Ahad Hamednia, Nikolce Murgovski, Jonas Fredriksson +3

This paper addresses optimal battery thermal management (BTM), charging, and eco-driving of a battery electric vehicle (BEV) with the goal of improving its grid-to-meter energy eff…

eess.SY2020

Computationally efficient algorithm for eco-driving over long look-ahead horizons

Ahad Hamednia, Nalin Kumar Sharma, Nikolce Murgovski +1

This paper presents a computationally efficient algorithm for eco-driving over long prediction horizons. The eco-driving problem is formulated as a bi-level program, where the bott…