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State of Health Estimation for Battery Modules with Parallel-Connected Cells Under Cell-to-Cell Variations
State of health (SOH) estimation for lithium-ion battery modules with cells connected in parallel is a challenging problem, especially with cell-to-cell variations.
Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data
A fully convolutional autoencoder is developed for the detection of anomalies in multi-sensor vehicle drive-cycle data from the powertrain domain.
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