Batteries, Vol. 8, Webpages 34: Comparison of Model-Based and Sensor-Based Detection of Thermal Runaway in Li-Ion Battery Modules for Auto Application
Batteries doi: 10. 3390/batteries8040034
Authors: Jacob Klink André Hebenbrock Jens Grabow Nury Orazov Ulf Nylén Ralf Benger Hans-Peter Beck
In recent years, research on lithium& amplifier; ndash; ion (Li-ion) electric battery safety and fault detection has become an essential subject, providing a broad range of methods for evaluating the cell state based on voltage and heat measurements. However, other dimension quantities and close-to-application check setups have only already been sparsely considered, and there has been no assessment in between methods. In this work, the feasibility of a multi-sensor setup pertaining to the detection of Thermal Runaway failure of automotive-size Li-ion battery modules are actually investigated in comparison to a model-based approach. For experimental validation, Thermal Runaway tests were conducted in a close-to-application configuration associated with module and battery case& amp; mdash; triggered by external heating with 2 different heating rates. By two repetitions of every test, a high accordance associated with characteristics and results has been achieved and the signal feasibility for fault recognition has been discussed. The model-based method, that had previously been published, recognised the thermal fault in the fastest way& amp; mdash; significantly before the required 5 min pre-warning time. This requirement seemed to be achieved with smoke and gas detectors in most test runs. Additional criteria for evaluating detection approaches besides detection time have been discussed to provide a good starting point for selecting an appropriate approach that is usually dependent on application described requirements, e. g., acceptable complexity.
