Abstract: Methods and systems are provided for probabilistic on-board diagnostics. In one example, a method may include calculating a probabilistic metric for a sample of a measured operating condition of a vehicle system component, averaging a plurality of probabilistic metrics including the probabilistic metric for a plurality of samples including the sample, and determining whether the vehicle system component is degraded based on the averaged plurality of probabilistic metrics. In this way, the functionality of a vehicle system component may be continuously monitored without regard for specific diagnostic entry conditions.

Abstract: Methods and systems are provided for regenerating an exhaust particulate filter based on a projected vehicle drive cycle and catalyst ammonia storage level. In one example, a method may include scheduling a PF regeneration during a regeneration window to maintain a threshold ammonia level in an exhaust catalyst, at the end of the drive cycle.

Abstract: Methods and systems are provided for regenerating an exhaust particulate filter based on a projected vehicle drive cycle and catalyst ammonia storage level. In one example, a method may include scheduling a PF regeneration during a regeneration window to maintain a threshold ammonia level in an exhaust catalyst, at the end of the drive cycle.

Abstract: Methods and systems are provided for probabilistic on-board diagnostics. In one example, a method may include calculating a probabilistic metric for a sample of a measured operating condition of a vehicle system component, averaging a plurality of probabilistic metrics including the probabilistic metric for a plurality of samples including the sample, and determining whether the vehicle system component is degraded based on the averaged plurality of probabilistic metrics. In this way, the functionality of a vehicle system component may be continuously monitored without regard for specific diagnostic entry conditions.