US 2021/0070313 A1 · CAUSAL ANALYTICS FOR POWERTRAIN MANAGEMENT

Abstract

Methods for management of a powertrain system in a vehicle. The methods receive data or signals from multiple sensors associated with the vehicle. Optimum thresholds for classifications of the sensor data can be changed based injecting signals into the powertrain system and receiving responsive signals. Expected priorities for the sensor signals can be altered based upon attributes of the signals and confirming actual priorities for the signals. Look-up tables for engine management can be modified based upon injecting signals into the powertrain system and measuring a utility of the responsive signals. The methods can thus dynamically alter and modify data for powertrain management, such as look-up tables, during vehicle operation under a wide range of conditions.

Claims12

Dependent claims

A method for automatically generating and applying causal knowledge to the management of a powertrain system in a vehicle, comprising steps of:

injecting randomized controlled signals in powertrain control decisions;
ensuring the signal injections occur within normal operational ranges and constraints;
receiving data from a plurality of sensors and electronic control units associated with the vehicle in response to the signal injections and parsing those data into system responses associated with the injected signals;
computing confidence intervals about the causal relationships between powertrain signals and a measured utility based on the signal injections and received data;
and
selecting optimal signals for the powertrain control decisions based on the computed confidence intervals about their effects and expected utility.

3 more elements

Dependencies are inferred from the claim text.

Causal analytics for powertrain management

Life of this patent

Causal analytics for powertrain management

Life of this patent

Abstract

Claims12