Battery Status Monitoring and Diagnosis

Non-invasive battery status test and monitoring utilizing non-invasive electromagnetic sensing

Sensing and learning-based battery health diagnosis and failure prediction

Unique Features

  • Non-invasive (no need for electrical contact with the battery under test)

  • Unlike battery voltage, the method does not suffer from relaxation. Consequently, almost instantaneous and reliable status tests and estimations are possible. It is the only battery status monitoring method that is free from relaxation.

Usages

  • SoC estimation

  • SoH estimation

  • Battery product quality control

  • Battery manufacturing defect monitoring and screening

  • Battery status estimation for recycling or reuse

  • Learning-based battery health condition diagnosis and failure prediction

  • Rapid battery testing in the lab

  • Validation and optimization of existing battery testing methods

EM Battery Sensing and Monitoring System User Manual

  • Use the link below to access the user manual.

  • Access is by invitation only. Please contact jungb@purdue.edu for inquiries.