Boosted Propulsion Wear Prognostics for Vehicle Components
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Solution Overview
Problem
Diagnostic systems for vehicles fail to accurately assess component wear during boosted performance operations, leading to potential premature failure and damage, as existing technologies lack comprehensive wear prediction models that account for varying operating conditions and shared data across multiple vehicles.
Innovation Solution
A diagnostic system that includes a wear estimation module capable of collecting and analyzing data from vehicle components during boosted mode operations, using models that integrate health and energy parameters to predict component wear and remaining lifetime, and adjust operational criteria to prevent premature failure by transitioning to boosted modes based on predicted component health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the vehicle operates in boosted mode to increase maximum motor torque, maximum engine torque, and maximum battery power, then vehicle performance is improved, but component wear increases leading to premature failure
Solution Approach 1:
The system performs preliminary assessment of component wear and remaining lifetime before allowing boosted mode operation. The wear estimation module continuously monitors component health and predicts remaining lifetime, enabling the system to proactively prevent operation that would cause premature failure while still allowing boosted mode when components are healthy
Solution Approach 2:
The system implements continuous feedback by monitoring component performance indicators during operation, estimating wear in real-time, and using this information to dynamically adjust whether boosted mode should be permitted. The feedback loop includes collecting performance data, executing wear models, comparing predicted remaining lifetime against thresholds, and controlling access to boosted mode accordingly
2Reliability
If comprehensive wear data collection and analysis systems are implemented to predict component lifetime, then component reliability is improved, but system complexity increases
Solution Approach 1:
The wear estimation module serves multiple functions within a single integrated system: it collects performance data from various components, executes wear models for different component types, predicts remaining lifetime, and controls boosted mode access. This multi-functional approach consolidates what could be separate complex subsystems into a unified diagnostic framework
Solution Approach 2:
The system manages complexity by dynamically adjusting monitoring parameters based on operating conditions. During boosted mode operation, the system intensifies data collection and wear assessment for components most at risk, while using standard monitoring during normal operation. This adaptive parameter adjustment ensures comprehensive wear prediction without continuously maintaining maximum system complexity
Data Source
AI summary
A diagnostic system for a vehicle includes a vehicle system configured to operate the vehicle in a normal operating mode and a boosted mode. In the boosted mode, the vehicle system increases at least one of a maximum motor torque, a maximum engine torque, and a maximum battery power available to the vehicle. A wear estimation module is configured to collect wear data associated with a component of the vehicle while being operated in the boosted mode, estimate, based on the collected wear data, wear of the component caused by being operated in the boosted mode, and generate a prediction of a remaining lifetime of the component based on the estimated wear of the component.