Safety Level ASIL, SIL Determination

ISO 26262 standard defines four values of ASIL: ASIL A, ASIL B, ASIL C, ASIL D.ASIL D represents the highest degree of automotive hazard and ASIL A the lowest. There is another level called QM (for Quality Management level) that represents hazards that do not dictate any safety requirements. For any particular failure of a defined function at the vehicle level, a hazard and risk analysis (HARA) helps to identify the intensity of risk of harm to people and property.

These safety levels are determined based on 3 important parameters Exposure, Severity, Controllability

What is Fusa?

Functional safety refers to the ability of a system to operate safely in response to its inputs, even in the event of faults or failures. Unlike general safety, which covers a wide range of issues, functional safety focuses specifically on ensuring systems function correctly and safely under defined conditions.

What is the Functional Safety (FuSa) Life Cycle?

The Functional Safety (FuSa) Life Cycle, as defined by IEC 61508, is a comprehensive, step-by-step process designed to ensure the safety of electronic and programmable systems. It’s not just about making sure a product works but making sure it works safely under all conditions. This life cycle integrates engineering practices, risk management, and adherence to regulatory standards, ensuring that systems do not endanger people or the environment.

Failure rates/ mission profiles

Failure Rate:
The failure rate quantifies how often a system or component is expected to fail during a specified time, usually expressed in failures per hour (e.g., failures per million hours).

Hydrogen based FCEV safety

Hydrogen Fuel Cell Electric Vehicles (FCEVs) are emerging as a promising technology in the race toward zero-emission transportation. Combining the benefits of clean energy, fast refueling, and long-range capabilities, FCEVs aim to offer an efficient alternative to both internal combustion engines and battery electric vehicles (BEVs).

Evaluate Hardware Architecture Metrics (SPM, LPM, PFH, PMHF) Using FMEDA Method

One of the critical action-items while designing a hardware, which is fail-safe, is to derive certain hardware architecture metrics. Some of these metrics are SPFM, LFM, and PMHF.

Quantitative Hardware Analysis FMEDA, an industry-wide accepted and highly efficient method to derive these metrics. Finding the “failure modes” in automotive ECU hardware and achieving required “safe state” is critical to the functional safety. D-Diagnostics Coverage forms an important part of determining FIT and deriving metrics

What is Failure Mode, Effect, and Diagnostics Analysis (FMEDA)

FMEDA is an advanced methodology that builds on Failure Modes and Effects Analysis (FMEA). While FMEA identifies potential failures and their effects, FMEDA adds a layer by evaluating the effectiveness of diagnostic mechanisms for detecting and responding to these failures.

Fusa in Software-Defined Vehicles (SDVs)

Functional Safety is the discipline of ensuring that electrical and electronic systems operate safely, even in the presence of faults. In the context of SDVs, FuSa focuses on identifying hazards, assessing risks, and implementing safety measures to avoid accidents.

What is ASIL?

Before we get into decomposition, let’s clarify what ASIL stands for. ASIL, or Automotive Safety Integrity Level, is a risk classification system defined in the ISO 26262 standard, which is specific to the automotive industry. It helps assess the risk of hazards caused by potential system failures in vehicles.

DFA : Dependent Failure Analysis in Functional Safety

Dependent Failure Analysis is the systematic examination of how failures can propagate across different systems, subsystems, or components that are intended to function independently.