Event-Triggered Sensor Fault Estimation for Lithium-Ion Battery Packs

This paper proposes an event-triggered sensor fault estimation method for lithium-ion battery packs with voltage and current sensor faults. First, an adaptive event-triggered mechanism is developed to alleviate communication resource cost. A sliding mode observer based on thermal and electrical models of lithium-ion batteries is designed to generate equivalent output error injection signals. Then, a sensor fault estimator driven by the equivalent output error injection signals is investigated to estimate the voltage and current sensor faults. The strategy for solving the sliding mode observer gain is presented. And the effect of system uncertainty on our proposed method is analyzed. Finally, experiments are implemented to verify the effectiveness of our developed scheme.