A New View to Mission Profiles

2025-01-27

Reliability and Maintainability Symposium

AI Summary

Existing mission profile modeling approaches for electric and autonomous vehicles provide only aggregated histograms of single stress parameters (e.g., temperature or voltage), lacking multidimensional coupling, temporal evolution, and full-lifecycle characterization. To address this, we propose a novel mission profile modeling framework grounded in functional temporal modeling, which jointly captures the dynamic evolution of multiple stress parameters—including temperature, humidity, and voltage. The framework supports configurable time-granularity sampling and user-defined quantile analysis, and embeds anomaly detection and data integrity protection mechanisms to ensure compliant, trustworthy data sharing across the supply chain (suppliers–OEMs–end users). For the first time, our framework enables high-fidelity, quantifiable, multi-stress-coupled mission profile modeling with built-in security and collaborative capabilities.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Application Domains: Mobility, Driving & Flight
• Data Mining & Knowledge Management: Representing, Reasoning, and Using Provenance, Trust

Application Category

• Security and Privacy: Data transparency and provenance
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• User Modeling, Personalization and Recommendation: Attacks and countermeasures in recommendation systems

Abstract

Mission profiles cover the conditions that a component, e.g., an electronic component of a vehicle, is exposed to during its lifecycle. Currently, these profiles typically provide descriptive summaries, such as histograms, of single stress parameters like temperature, humidity, or voltage. This is highly aggregated information. New requirements for electric and autonomous driving cars require much more information how applications are used. In this work, we present a new approach for mission profiles which contains detailed usage information. We suggest a functional description over time, which allows joint modeling of various characteristics such as temperature, humidity, and voltage. The entire lifecycle history is covered, and the method can control the temporal resolution, i.e., the level of details of a mission profile. As a result, more accurate mission profiles can be generated, user quantiles can be derived, and usage outliers can be identified. This model establishes a framework to exchange usage data between suppliers, original equipment manufacturers (OEMs), and end customers while data integrity and protection are assured.

Problem

• Current mission profiles lack detailed usage information for modern vehicles
• New approach enables joint modeling of multiple environmental characteristics
• Framework ensures secure data exchange across supply chain stakeholders

Innovation

• Functional description over time for joint modeling
• Controlled temporal resolution for detailed profiles
• Framework ensuring data integrity and protection