A New View to Mission Profiles

TL;DR

This paper introduces a detailed, functional approach to mission profiles that models multiple stress factors over time, enabling more accurate, privacy-preserving usage data exchange for electric and autonomous vehicles.

Contribution

It proposes a novel method for creating detailed, joint, and temporally controlled mission profiles that improve accuracy and facilitate secure data sharing among stakeholders.

Findings

More accurate mission profiles generated

User quantiles and outliers identified

Framework for secure data exchange established

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.