Adaptive Dead-Zone Dual Sliding Mode Observer for Reliable Electrochemical Model-Based SOC Estimation
The study proposes an Adaptive Dead-Zone Dual Sliding Mode Observer (ADZ-DSMO) using an improved single-particle model to estimate lithium-ion battery State of Charge (SOC). This method combines a state observer for SOC estimation and a parameter observer for model parameters. A unique adaptive dead-zone mechanism selectively updates parameters only when errors are large, leading to lower estimation errors and faster recovery from initial biases compared to conventional methods.