MSL Papers Received Recognitions at IFAC-MECC 2022

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Two MSL papers received award recognitions at the 2022 IFAC Modeling, Estimation and Control Conference in Oct. 2022.

The paper “A Two-Stage Genetic Algorithm for Battery Sizing and Route Optimization of Medium-Duty Electric Delivery Fleets,” by Hyunjin Ahn, Zejiang Wang, Heran Shen, Xingyu Zhou, and Junmin Wang, received the ASME Automotive and Transportation Systems Best Paper Award judged by a committee of international experts from academia and industry.

The paper “Linear Motor Command Tracking: A Novel Immersion and Invariance Adaptive Control Method With Arctangent-Function-Based Parameter Projection,” by Xingyu Zhou, Heran Shen, Zejiang Wang, Hyunjin Ahn, and Junmin Wang, was recognized as one of the finalists for the 2022 MECC Best Student Paper Award.

Congratulations!

UT Austin selected into the Prestigious EcoCAR EV Challenge Program

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U.S. Department of Energy Secretary Jennifer Granholm announced UT Austin as a new team of the EcoCAR EV Challenge sponsored by Department of Energy, General Motors, MathWorks and managed by Argonne National Laboratory. EcoCAR is a premier collegiate engineering program of Department of Energy Advanced Vehicle Technology Competitions (AVTC) for North American universities. Led by Profs. Junmin Wang (Mechanical Engineering), Joydeep Biswas (Computer Science), and Alex Huang (Electrical Engineering), 100+ undergraduate and graduate students in many disciplines across the UT campus will work on addressing real-world challenges of electrified, connected, and automated vehicles (E-CAV) through multidisciplinary collaborations using GM’s full-electric 2023 Cadillac LYRIQ as the test platform. More details at UT Austin Cockrell School of Engineering and U.S. DOE. A YouTube video on EcoCAR EV Challenge is here.