A group of researchers at The University of Texas at Austin and Oak Ridge National Lab received the Automotive and Transportation Systems Best Paper Award at the 2022 IFAC Modeling, Estimation and Control Conference.
Junmin Wang, professor in the Walker Department of Mechanical Engineering, along with UT Austin students Heran Shen, Xingyu Zhou, and Hyunjin Ahn collaborated with Zejiang Wang of Oak Ridge National Lab on a paper titled “A Two-Stage Genetic Algorithm for Battery Sizing and Route Optimization of Medium-Duty Electric Delivery Fleets” (pictured at right). The research presented in this paper was supported by the US Department of Energy.
The paper was chosen for the ASME Automotive and Transportation Systems Best Paper Award. This award is selected by the ASME Automotive and Transportation Systems Technical Committee annually from papers presented at the IFAC Modeling, Estimation and Control Conference. The award selection is based on the quality of both written paper and oral presentation judged by an evaluation committee consisting of international experts in academia and industry in the field of automotive and transportation systems.
In addition, the authors of the paper will receive a $500 honorarium and award certificates from ASME.
