Internal thermal state estimation algorithms: BYDRecent Research Landscape
Premature battery shutdown or over-discharge occurs when static voltage thresholds fail to account for real-time load variations. This lever dynamically adjusts termination logic to maximize usable capacity while protecting cell longevity.
What technical problems is BYD addressing in Internal thermal state estimation algorithms?
Inaccurate internal degradation assessment
(50)evidences
Hidden internal battery parameters cannot be measured directly and lead to unpredictable failure or inefficiency. Precise estimation prevents thermal runaway and optimizes energy utilization.
Inaccessible internal thermal gradients
(44)evidences
Uncertainty in predicting remaining charge and discharge cycles leads to premature system shutdowns or safety risks. Precise temporal forecasting prevents operational downtime and battery over-stress.
Undetected internal battery degradation
(39)evidences
Spontaneous self-discharge and lithium plating represent hidden failure modes that compromise safety and longevity. Identifying these latent defects prevents catastrophic thermal runaway and unpredictable capacity loss.
Inaccurate internal energy estimation
(24)evidences
Uncertainty in remaining capacity and voltage thresholds leads to premature power loss or battery over-discharge. Precise boundary detection prevents unexpected vehicle immobilization and cell degradation.