Automotive Functional Safety Validation 2026 — PatSnap Eureka
Automotive Functional Safety Validation: ISO 26262, SOTIF & Beyond
This report maps 60+ patent and literature records spanning 2015–2026 across HARA automation, fault injection, SOTIF simulation, and emerging validation-as-a-service architectures — revealing where the IP battleground is shifting as L2–L4 automated driving proliferates.
A Multi-Layered Discipline at an Inflection Point
Automotive functional safety validation is designed to prove that safety-related vehicle functions achieve their required Automotive Safety Integrity Level (ASIL) — spanning ASIL-A through ASIL-D — under both normal and fault conditions. The field has reached an inflection point driven by the proliferation of L2–L4 automated driving functions, which expose the limitations of conventional testing paradigms and demand new simulation-based, fault-injection, and AI-assisted validation approaches.
The retrieved dataset spans foundational concepts including hazard analysis and risk assessment (HARA), fault tree analysis (FTA), and Failure Mode and Effects Analysis (FMEA), through system-level verification environments such as hardware-in-the-loop (HIL) and software-in-the-loop (SIL/MIL), and into the distinct domain of SOTIF (ISO/PAS 21448) — which addresses performance insufficiencies and misuse rather than hardware failure. Standards bodies including ISO and national regulators such as NHTSA and China’s MIIT are actively shaping the regulatory environment that drives these filings.
This analysis covers 60+ patent and literature records from 2015–2026, mapping four primary technology clusters: HARA-driven safety goal derivation, fault injection and HIL-based verification, scenario-based SOTIF analysis, and autonomous validation platforms. The PatSnap Analytics platform was used to identify and cluster these records.
- HARA-based safety goal derivation & ASIL classification
- Fault injection-based validation (SW, HW, sensor signal)
- Simulation and HIL platform validation (CarSim, dSPACE, PreScan)
- SOTIF analysis and verification (ISO/PAS 21448)
- Scenario-based coverage and test library construction
Three Distinct Activity Phases: 2015 to 2026
The dataset reveals a clear progression from foundational ISO 26262 V-model adaptation through SOTIF emergence to automated, architecture-level validation pipelines.
Top Assignees by Filing Volume in Dataset
China FAW Group leads with ~8 records; SOTIF-focused Chinese OEMs and universities dominate the top ten.
Innovation Phase Timeline
Three distinct phases from foundational ISO 26262 frameworks through SOTIF emergence to automated pipeline integration.
Four Primary Innovation Clusters in the Dataset
The 60+ records organize into four distinct clusters based on technical approach, application scope, and filing geography.
HARA-Driven Safety Goal Derivation & ASIL Classification
The most populated cluster covers automated and structured hazard analysis. These patents define systematic workflows to derive ASIL ratings from operational scenarios, severity/controllability/exposure parameters, and functional failure modes. Recent filings attempt to automate or quantify traditionally manual HARA processes. Zhiji Automobile Technology’s 2022 CN patent automates HARA traversal across all functional scenarios using simulation to produce objective, complete HARA tables — addressing traditional subjectivity. Robert Bosch GmbH’s 2026 US patent determines ASIL dynamically using infrastructure and vehicle sensor signals, then allocates computation between in-vehicle and off-vehicle systems. PatSnap solutions support this type of IP landscape analysis.
Dynamic ASIL via infrastructure sensors (Bosch, 2026)Fault Injection & HIL-Based Safety Verification
This cluster covers experimental validation methods where artificial faults are injected into running systems — at software, hardware, or sensor signal levels — and the system’s safety response (fault detection time, safe-state transition, PMHF/SPFM metrics) is measured. Multiple papers and patents address HIL real-time platforms with automotive-grade fidelity. Jilin University’s 2021 CN patent uses Matlab/Simulink and CarSim to inject faults at the concept phase and derive functional safety goals before hardware is committed. A 2022 literature paper proposes an HIL fault injection framework explicitly accounting for real-time vehicle dynamic models, addressing comprehensiveness and realism gaps in simulation-only approaches. Standards from IEC inform the fault coverage metrics used in these frameworks.
HIL fault injection with CarSim, dSPACE, PreScanScenario-Based SOTIF Analysis & Simulation Verification
A large and rapidly growing cluster addresses SOTIF — risks arising from algorithm performance limitations or misuse, not hardware failure. This includes scenario library construction, virtual simulation environments, and quantitative performance limit identification. This cluster is almost exclusively a CN phenomenon in this dataset, with isolated Western inputs. Chongqing Changan’s 2022 CN patent applies DS evidence fusion theory to quantify perception component performance limits for SOTIF assessment, enabling targeted functional improvement of Traffic Jam Pilot (TJP) systems. The Vehicle Research and Testing Center (Taiwan) 2025 CN patent defines a multi-source scenario database combining regulatory, accident, and edge-case data with a virtual test module. Research from SAE International on scenario-based testing informs this cluster.
Almost exclusively CN filings; Western gap identifiedAutonomous Validation Platforms & Validation-as-a-Service
This cluster covers architecturally novel approaches that move validation from point-in-time testing to continuous, fleet-scale, or cloud-connected validation. GM Global Technology Operations LLC’s 2024 US patent establishes a backend-fleet architecture where a validation manager generates tasks, distributes them to individual vehicles, and aggregates fleet-level validation results continuously. State Farm’s 2021 US patent uses virtual test environments to evaluate ADAS features via test input signals, predicted vehicle responses, and risk-level determination — with insurance-risk framing as the motivating application. Kyndryl’s 2023 US patent covers remote validation authority. The PatSnap customer base includes organizations tracking this emerging commercial model.
GM VaaS 2024 · Kyndryl remote authority 2023From ADAS to Chips: Where Functional Safety Validation Is Applied
The dataset maps validation innovation across five application domains, with ADAS/autonomous driving commanding the largest filing volume.
Five Forward-Looking Directions from 2024–2026 Filings
The most recent cluster of filings reveals convergence toward dynamic, data-driven, and architecture-level validation paradigms.
Dynamic, Infrastructure-Coupled ASIL Determination
Robert Bosch GmbH’s 2026 US patent computes ASIL dynamically from live infrastructure sensor feeds rather than assigning static ASIL at design time, enabling adaptive offloading to edge/cloud systems. This anticipates vehicle-road-cloud integration certification requirements. A companion CN filing was made in 2025.
Automated SOTIF Analysis Pipelines
Beijing Saimo Technology’s 2025 CN filings on automated SOTIF analysis systems and SOTIF trigger scenario library construction indicate a push toward automating SOTIF workflows that have historically relied on expert judgment. This includes AI-assisted analysis of design operating conditions (ODCs) and scenario classification.
Data-Driven Closed-Loop SOTIF
Jilin University’s 2025 CN filing proposes using real operational data from incident events — not just pre-deployment test data — to continuously refine SOTIF analysis and prevent recurrence. This bridges the design-test-operations gap, creating a feedback loop from field incidents to safety model updates.
China Dominates; Western Innovation Concentrated in Few Large Players
CN accounts for approximately 45 of the retrieved patent records. US is second with ~10. Innovation patterns differ sharply by geography.
| Assignee | Jurisdiction | Count in Dataset | Focus Area |
|---|---|---|---|
| China FAW Group Co., Ltd. (First Auto Works) | CN | ~8 | HARA automation, SOTIF analysis, monitoring |
| Chongqing Changan Automobile Co., Ltd. | CN | ~6 | SOTIF quantification, domain controller validation |
| KPIT Technologies Limited | IN/US/EP | 5 | Scenario-based automation feature validation |
| Robert Bosch GmbH | DE (US/EP/WO) | 4 | ASIL determination, safety function validation |
| Jilin University | CN | 4 | Fault injection, SOTIF data-driven methods |
| Anhui Jianghuai Automobile Group (JAC Motors) | CN | 3 | SOTIF hazard evaluation, HIL verification |
Five Strategic Signals for R&D and IP Teams
SOTIF is now a primary innovation battleground. Among retrieved CN filings from 2022–2026, SOTIF-related patents equal or exceed traditional ISO 26262 functional safety filings. R&D teams building ADAS validation toolchains must treat SOTIF verification as a first-class capability, not an add-on. The PatSnap domain solutions framework applies equally to automotive electronics IP mapping.
China’s filing velocity creates a crowded domestic IP landscape, but leaves gaps internationally. The vast majority of SOTIF and HARA automation patents are CN-only filings. International IP strategists targeting US, EP, or global markets may find less prior art density but should monitor PCT conversion activity from leading CN filers (Changan, FAW, Geely, Jilin University) closely. Resources from WIPO on PCT monitoring are directly relevant here.
Validation-as-a-Service and fleet-based continuous validation are commercially differentiated. GM’s 2024 US patent on validation-as-a-service for ADAS/AV continuous validation and Kyndryl’s remote validation authority patent (2023, US) signal an emerging software business model around safety certification services — especially relevant for OTA-updated software-defined vehicles.
HIL fault injection is mature; the frontier is systemic scenario coverage. HIL platforms (dSPACE, CarSim, PreScan) are well-represented and their core mechanisms are established. The unsolved problem — and therefore the active innovation zone — is scenario library completeness: covering unknown-unsafe scenarios without exhaustive real-world mileage. Investment should target scenario generation, coverage metrics, and AI-driven corner case discovery.
Cooperative and V2X safety validation lacks standardized methods. Retrieved literature explicitly flags that ISO 26262 was designed for single vehicles. As V2X-capable vehicles scale, regulators and OEMs will need new HARA methodologies, test protocols, and potentially new ASIL extensions for multi-agent safety cases. This is an open standard and IP opportunity. The PatSnap API enables continuous monitoring of this emerging filing space.
Automotive Functional Safety Validation — key questions answered
Automotive functional safety validation encompasses the methods, tools, and architectures used to demonstrate that vehicle electronic/electrical (E/E) systems meet safety integrity requirements — primarily under ISO 26262 and the emerging Safety of the Intended Functionality (SOTIF/ISO 21448) standards. It spans ASIL-A through ASIL-D integrity levels and covers both normal and fault conditions.
SOTIF (Safety of the Intended Functionality, ISO/PAS 21448) addresses risks arising from algorithm performance limitations or misuse — not hardware failure. ISO 26262 addresses hardware and software faults in safety-related E/E systems. SOTIF emerged following the 2019 release of ISO/PAS 21448 and is now a primary innovation battleground, with CN filings from 2022–2026 equalling or exceeding traditional ISO 26262 filings.
China FAW Group Co., Ltd. leads with approximately 8 records in the dataset, followed by Chongqing Changan Automobile Co., Ltd. (~6), KPIT Technologies Limited (5), Robert Bosch GmbH (4), and Jilin University (4). The dataset spans 60+ patent and literature records from 2015–2026.
Among all patent records with jurisdiction information in this dataset, CN (China) is dominant with approximately 45 of the retrieved patent records. US is second with approximately 10 records. India (IN) has 2 records (both KPIT Technologies), EP has 2 records, and WO (PCT) has 1 record from Robert Bosch GmbH.
Based on filings from 2024–2026 in the dataset, five directions are identifiable: (1) Dynamic infrastructure-coupled ASIL determination (Robert Bosch GmbH 2026 US patent); (2) Automated SOTIF analysis pipelines (Beijing Saimo Technology, 2025); (3) Data-driven closed-loop SOTIF using real operational incident data (Jilin University, 2025); (4) Virtualization-based safety architecture consolidating multi-layer safety functions into virtual machines (Zhenju Technology, 2025); (5) Controllability quantification using driving simulators with real driver behavior data (National Automotive Intelligent Connected Vehicles Research Institute, 2025).
GM Global Technology Operations LLC’s 2024 US patent establishes a backend-fleet architecture where a validation manager generates tasks, distributes them to individual vehicles, and aggregates fleet-level validation results continuously. This represents a shift from point-in-time testing to continuous, fleet-scale validation — especially relevant for OTA-updated software-defined vehicles.
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