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Subsystem-to-Vehicle Validation Evidence Hierarchy

30 Chapters
View Course Samples Online
01
Evidence hierarchy fundamentals
definitions, purpose, and role in subsystem-to-vehicle validation.
Evidencehierarchy
02
Validation levels and evidence types
from component bench tests to vehicle-level proving ground trials.
Validationevidence
03
Traceability and linkage
connecting requirements, test cases, and evidence across subsystem and vehicle boundaries.
Traceabilityconnecting
04
Evidence sufficiency and confidence
statistical basis, sample size, and risk-based decision criteria.
Evidencesufficiency
05
Subsystem validation planning
defining evidence needs from vehicle-level requirements and use cases.
Subsystemvalidation
06
Vehicle-level validation planning
aggregating subsystem evidence into an integrated vehicle validation strategy.
Vehicle-levelvalidation
07
Evidence collection methods
instrumentation, data acquisition, and test automation for hierarchical validation.
Evidencecollection
08
Simulation and model-based evidence
credibility, verification, and validation (V&V) of CAE and HIL evidence.
Simulationmodel-based
09
Evidence from hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing
scope, limitations, and integration.
Evidencehardware-in-the-loop
10
Proving ground and road testing
evidence generation for vehicle-level performance and durability.
evidencegeneration
11
Environmental and operational envelope evidence
covering temperature, vibration, EMC, and other stressors.
Environmentaloperational
12
Safety and failure mode evidence
FMEA, fault injection, and validation of safety mechanisms across levels.
evidenceFMEA
13
Evidence for regulatory compliance and homologation
mapping subsystem evidence to vehicle certification.
Evidenceregulatory
14
Evidence management systems
data repositories, metadata, and version control for hierarchical evidence.
Evidencemanagement
15
Evidence quality assessment
criteria for completeness, consistency, and reliability at each level.
Evidenceassessment
16
Gap analysis and evidence reconciliation
identifying missing links between subsystem and vehicle evidence.
analysisevidence
17
Case study
powertrain subsystem to vehicle integration evidence hierarchy.
powertrainsubsystem
18
Case study
ADAS/AD subsystem validation evidence and vehicle-level scenario coverage.
ADAS/ADsubsystem
19
Case study
body and chassis subsystem evidence aggregation for vehicle durability and NVH.
subsystemevidence
20
Evidence-driven decision gates
using hierarchical evidence for design release and sign-off.
Evidence-drivendecision
21
Risk-based evidence prioritization
focusing validation effort on critical subsystem-vehicle interactions.
Risk-basedevidence
22
Evidence reuse and extrapolation
leveraging subsystem evidence for vehicle variants and updates.
Evidenceextrapolation
23
Toolchain and automation
integrating test management, PLM, and analytics for evidence hierarchy.
Toolchainautomation
24
Metrics and dashboards
visualizing evidence coverage and confidence across the hierarchy.
dashboardsvisualizing
25
Organizational and process aspects
roles, responsibilities, and workflow for evidence hierarchy governance.
Organizationalresponsibilities
26
Auditing and review of evidence hierarchy
internal and external assessment practices.
Auditingevidence
27
Continuous validation and field data feedback
updating evidence hierarchy with operational data.
Continuousvalidation
28
Emerging challenges
validation for connected, autonomous, and electric vehicles within the hierarchy.
Emergingchallenges
29
Practical workshop
building an evidence hierarchy for a given vehicle program (group exercise).
workshopbuilding
30
Course synthesis
best practices, pitfalls, and roadmap for implementing a robust evidence hierarchy.
synthesispractices