A platform for tracking, predicting, and maintaining the Health of Batteries powering IoT devices

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Type and Duration

PhD-Thesis, since December 2023

Coordinator

Hilti Chair of Business Process Management

Main Research

Business Process Management

Description

The dissertation centers around the development of a platform dedicated to monitoring, predicting, and sustaining the health of batteries that power Internet of Things (IoT) devices. It emphasizes the necessity of maintaining battery-powered IoT devices for prolonged deployment, highlighting the utilization of IoT functionality to transmit battery health data to the cloud. In the context of small-scale, low-power IoT devices, the prevalent method involves utilizing counters to gather usage and battery data. The research explores the feasibility of employing low-frequency utilization data exclusively from IoT devices to track, predict, and maintain batteries. It further discusses the integration of physical capacity-based State of Health (SoH) with data-driven SoH models. The ultimate goal is to ensure consistently updated information on battery health.

PhD-Student

Jonas Bokstaller, MSc ETH Inf.-Ing.

Supervisor

Assoz. Prof. Dr. Johannes Schneider

Co-Supervisor

Prof. Dr. Simon Lux

Prof. Dr. Jan vom Brocke