US Patent 12073668 Machine-learned models for electric vehicle component health monitoring

Methods, computing systems, and technology for machine-learned vehicle component health monitoring are presented. An example method may include obtaining operating data describing one or more operational characteristics of a component of a subsystem onboard a vehicle. The example method may include generating, using a component longevity model and based on the operating data, a component longevity value for the component. The example method may include generating, using a vehicle usage model and based on the component longevity value, a prognosis for the component. In the example method, the vehicle usage model may be configured to evaluate the component longevity value based on a usage pattern associated with the vehicle. The example method may include initiating, based on the prognosis, a corrective action to mitigate degradation of the component.