EVS36 — 36th Electric Vehicle Symposium & Exposition
Dialogue Sessions

Dialogue with the Experts - Session A - Screen 04

Monday, June 12, 2023

2:00 pm - 3:30 pm

Hall C

2:00 pm-2:15 pm

Performance diagnostics in photovoltaic-lithium-battery installations using inconsistent field data

Xia Zeng
Vrije Universiteit Brussel – MOBI
Belgium

Xia Zeng received her master’s degree in vehicle engineering from Chongqing University, China in 2019. She was a visiting research student with the Department of Electrical Engineering, Chalmers University of Technology, Sweden, between 2017 and 2018. Currently, she is pursuing a Ph.D. in the Department of Electrical Engineering and Energy Technology (ETEC) at the Vrije Universiteit Brussel, Belgium. Her current research focuses on battery monitoring and state estimation through advanced sensing techniques.

2:20 pm-2:35 pm

BANULA – A novel DLT based approach for EV charging with high level of user comfort and role specific data transparency for all parties involved

Daniel Stetter
Fraunhofer-Institute for Industrial Engineering (IAO)
Germany

Dr. Daniel Stetter holds a masters degree in physics from Karlsruhe Institute of Technology, Germany, and a diploma for graduates in economics from LSE London, UK. He received his doctorate in engineering with emphasis on energy economics from the university of Stuttgart and the German Aerospace Center DLR. He filled positions at ministerial level (Department of the Environment; State Ministry Baden Württemberg) as well as in the executive board of a mid-sized business. Since 2015 lecturer at different universities. Recently since 2019 in the context of replacement of a professorship of energy economics and engineering at HfT Stuttgart, Germany. Since 2016, he works for Fraunhofer IAO, Stuttgart, Germany focusing on novel energy infrastructures with special emphasis on the electricity sector, renewable energy as well as e-mobility grid integration. Since 2021 he is institute director and head of the research devision Smart Energy and Mobility Solutions.

2:40 pm-2:55 pm

A novel approach for a predictive online ECMS applied in electrified vehicles using real driving data

Felix Deufel
Institute of Vehicle System Technology, Karlsruhe Institute of Technology
Germany

Felix Deufel received the M. Sc. degree in Automotive Engineering in 2019 from the Technical University of Berlin, Berlin, Germany. He is currently working towards the Ph.D. degree on the energy management of hybrid electric vehicles (HEV) at KIT Institute of Vehicles Systems Technology Karlsruhe, Germany, in cooperation with Mercedes-Benz AG, Sindelfingen, Germany. His research interests lie in the fields of control and the application of Machine Learning.

3:00 pm-3:15 pm

Development of validated PHEV model through control analysis based on test data

Tacksu Kim
Hanyang University

Tacksu Kim is a Ph.D. candidate in the Department of Mechanical Engineering, Hanyang University ERICA Campus, Ansan, South Korea. He is studying deterministic and intelligent optimal control for vehicles.