Testing a Battery Management System via Criticality-based Rare Event Simulation

by   Daniel Grujic, et al.

For the validation of safety-critical systems regarding safety and comfort, e.g., in the context of automated driving, engineers often have to cope with large (parametric) test spaces for which it is infeasible to test through all possible parameter configurations. At the same time, critical behavior of a well-engineered system with respect to prescribed safety and comfort requirements tends to be extremely rare, speaking of probabilities of order 10^-6 or less, but clearly has to be examined carefully for valid argumentation. Hence, common approaches such as boundary value analysis are insufficient while methods based on random sampling from the parameter space (simple Monte Carlo) lack the ability to detect these rare critical events efficiently, i.e., with appropriate simulation budget. For this reason, a more sophisticated simulation-based approach is proposed which employs optimistic optimization on an objective function called "criticality" in order to identify effectively the set of critical parameter configurations. Within the scope of the ITEA 3 TESTOMAT project (http://www.testomatproject.eu/) the collaboration partners OFFIS e.V. and AKKA Germany GmbH conducted a case study on applying criticality-based rare event simulation to the charging process of an automotive battery management system given as a model. The present technical report documents the industrial use case, the approach, application and experimental results, as well as lessons learned from the case study.



page 1

page 2

page 3

page 4


Rare Event Simulation for non-Markovian repairable Fault Trees

Dynamic Fault Trees (DFT) are widely adopted in industry to assess the d...

Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems

Rare-event simulation techniques, such as importance sampling (IS), cons...

Communication channels in safety analysis: An industrial exploratory case study

Safety analysis is a predominant activity in developing safety-critical ...

Simulation-based Safety Assessment of High-level Reliability Models

Systems engineering approaches use high-level models to capture the arch...

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method

Long-tail and rare event problems become crucial when autonomous driving...

Global sensitivity analysis of rare event probabilities

By their very nature, rare event probabilities are expensive to compute;...

Exploring industrial safety knowledge via Zipf law

The hazard and operability analysis (HAZOP) report contains precious ind...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.