Indiana University

Ford Global Technolgoies, LLC

Lingxi Li

Jian Xie

Yaobin Chen

Jie Chen

Manoharprasad K Rao

Jialiang Le

Renran Tian

A sensor test system may include a controller coupled to at least one test device and a sensor, the controller configured to receive test instructions including a plurality of test sequences, instruct at least one display unit to display an item based on the test sequences, receive response data from the test device indicative of a driver behavior, the response data including timing information and test device information, compile the response data based on the timing information and the test device information, receive sensor data acquired by the sensor during the test sequences, compare the compiled response data to the sensor data, and determine an accuracy of the sensor based on the comparison.

Driver visual sensor behavior study device

Systems, apparatuses and methods for detecting internal cell faults using online and real-time sensing techniques, and providing an accurate and reliable early warning for the incoming failure of battery cells hours or days prior to failure. A system is configured to perform real-time and direct measurement of battery cell parameters of temperature, voltage, and AC impedance through online sensing. These parameters may be simultaneously processed using advanced probabilistic and/or fuzzy logic-based algorithms to provide an early warning for the incoming failure of battery cells in a battery pack. This technology may safeguard the LIB battery packs while allowing them to operate at or near 100% capacity in both transportation and stationary applications.

Advanced battery early warning and monitoring system

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Zionsville, IN, United States of America

Lingxi Li