Address:
M. Fabian RINCON VIJA from The Department of Network Systems, Cyber Security and Digital Law and the Irisa Laboratory, will present his research about :
"Enabling Robust Wireless Communication for Battery Management Systems in Electric Vehicles"
The Battery Management System (BMS) is in charge of monitoring and ensuring the correct operation of the Electric Vehicle (EV) battery. The BMS uses a master slave architecture with a wired daisy chain link. Lately, the industry has seen interest in replacing the wired bus with a wireless network. Wireless BMS (WBMS) brings multiple advantages but at the same time several challenges. In this thesis, we present a complete solution to enable robust wireless communications inside the battery pack of EVs. We propose an enhanced version of the IEEE Std 802.15.4 Time Slotted Channel Hopping (TSCH) Medium Access Control (MAC) mode running over the physical layer of Bluetooth Low Energy (BLE). The network is managed by a reliable and predictable scheduling function based on the Group Acknowledgement (GACK) method. For the parking state of the vehicle, we propose a WBMS sleep mode that reconfigures the network architecture allowing the central node to switch off, preventing the discharge of the small 12 V battery of the EV. We also discuss the new opportunities that the inclusion of a computing capacity in the slaves brings to BMS software development. The laboratory and vehicle test results show that our system provides high reliability, bounded latency, and low power consumption.
Organizer(s)
Thesis acreditation from IMT Atlantique with the Doctoral School MATHSTIC
Key-words: Electric Vehicle, Wireless Battery Management System, GACK, TSCH, BLE