System Architecture Selection and Functional Safety Analyses
Functional safety is critical to ensure that the complex electronics in today's vehicles are reliably delivering consistent performance over time, without system failures.
The traditional approach of using point tools for individual tasks is error-prone and time-consuming. The combination of Ansys medini analyze and Ansys SCADE provides a comprehensive model-based solution for architecture-driven safety analyses that ensure traceability and consistency all along the system development lifecycle. The benefits include:
- Discover and consider safety requirements early in the design process
- Keep safety analysis results consistent
- Integrate safety processes seamlessly with system and software development
Embedded Software Development and Validation
Ansys SCADE flow supports all software development activities for ISO 26262, ASPICE, AUTOSAR.
- User cases show a 40% to 50% cost reduction with this approach
- Experience significant productivity gain with Ansys SCADE ISO 6262 Qualified Code Generation
- 50% time savings versus manual coding: elimination of debug, review and V&V activities
- 2x faster to market: early detection of flaws, automated production of readable, portable, high-performance and high-quality codes, and improved long-term maintainability
High-Fidelity Models and Multi-Level Model Libraries
EV Powertrain Library is a Modelica library for dynamic multi-domain modeling of electrified systems. It's ideal for design exploration of system modeling workflow.
The library supports multi-fidelity modeling for electrification. Use the library of models to capture electrical, thermal, mechanical, and interactions for electrification controls applications, including electric and hybrid vehicles, electric mobility, auxiliary power electric storage and electrification of engineered systems applications. This complements Twin Builder’s high-fidelity ROM-based workflow.
System Integration
Optimize component selection, sensor placement and control strategies to improve the system lifespan and efficiency. Tune and optimize controller parameters to improve the driver experience. Validate correct response with respect to functional requirements.
- Co-simulation for Model-in-the-Loop (MiL) design and tuning of control strategies
- Code Import for Software-in-the-Loop (SiL) validation of the real embedded code in the virtual system
