Webinar 28.08.2020

Program:

14.00 Welcome

14.10 Florian Pitschi, Swisscom: Condition Monitoring at Meier Tobler – An IoT journey of a Swiss company

Meier Tobler is a Swiss company selling heating and cooling systems. Together with Swisscom, they started their IoT journey more than three years ago. Florian Pitschi will explain why they started the journey, where Meier Tobler are now, showing different components of the employed solution in the different IoT layers  from PLC data extraction, device management up to condition monitoring, and some possible next steps.

Florian Pitschi holds a Master’s degree in information technology from the University of Ulm and accomplished a doctorate in computational biology in Shanghai on a Max Planck scholarship. Florian has been working as a data solution architect at Swisscom since 2015.

Florian Pitschi holds a Master’s degree in information technology from the University of Ulm and accomplished a doctorate in computational biology in Shanghai on a Max Planck scholarship. Florian has been working as a data solution architect at Swisscom since 2015.

14.35 Jianwen Meng, Université Paris-Sud: Lithium-ion battery monitoring and fault diagnosis for embedded application

Thanks to their high energy/power density and extended life cycle, lithium-ion batteries (LIBs) are currently the state-of-the-art power sources for electrified powertrain systems. Safety operation of LIBs is of vital importance for the development of electric vehicles (EVs). However, reliability and safety of electrified vehicle can be compromised due to overcharge (OC), overdischarge (OD),  internal short circuit (ISC) or external short circuit (ESC) of the battery. They can cause irreversible battery damages, or even lead to battery thermal runaway (TR), which is a catastrophic failure of on-board batteries. Therefore, fault diagnosis and mitigation strategies for EVs’ battery are critical functions to prevent TR.To this end, this presentation will focus on battery incipient short-circuit (SC) diagnosis. Because SC is an important stage before TR regardless of different kinds of battery abuse conditions. Furthermore, during the incubation period of SC, no electrical or thermal thresholds are exceeded for a long time before TR. Therefore, detection of incipient SC at its earliest stage is meaningful as it can prevent battery failure. However, incipient SC fault signature is weak as it may look like healthy operating conditions and fault features may be concealed in environmental nuisances. Hence its detection is challenging.

Jianwen Meng received the Master’s degree in Electrical engineering from University of Nantes, Nantes, France, in 2017. He is currently working toward the Ph.D. degree with the ESTACA Engineering School, Saint-Quentin-en-Yvelines, France; and also with GeePs | Group of Electrical Engineering - Paris, CNRS, CentraleSupélec, Université Paris-Saclay, Sorbonne Université, France with Prof. Demba Diallo and Prof. Moussa Boukhnifer. Jianwen’s research interests include fault diagnosis, fault-tolerant control and energy management with the background of electric vehicle.