Artificial Intelligence

• AI in Simulation: Reduced-Order Modeling

  • Workflow for data-driven ROM
  • Different use cases for ROM
  • Examples: Developing AI models for an SI engine and flexible shaft

• AI Deployment on Embedded Systems and Cloud

  • Deploy AI into an embedded hardware and enterprise system from one code base
  • Fit AI models to embedded hardware with quantization/fixed point conversion
  • Scale to data and users using enterprise deployment

• AI in Electrification: Battery SOC and SOH Estimation

  • AI use cases in the automotive industry
  • Battery SOC and SOH estimation with deep learning

Electrification and Full Vehicle Simulation

• Battery Modeling and Management

  • Design and simulate battery and BMS using Simscape Battery
  • Evaluate electrical and thermal responses of different battery pack architectures

• EV Traction Motors: Motion Control Made Easy

  • Model motors and parameterize your motor models
  • Autotune your speed and current controllers with FOC Autotuner
  • Deploy your motor control algorithms onto your desired target hardware

• Building Full-Vehicle Simulation Models

  • Simulation of an electric two-wheeler
  • Powertrain architectures for different vehicle models
  • Simulation of vehicle dynamics and optimization of suspension design for ride and handling characteristics

ADAS and Automated Driving

• Automated Driving: Creating Virtual Worlds and Algorithms

  • Create scenes and scenarios from recorded data
  • Create scenes and scenarios in RoadRunner and interoperate with ASAM standards
  • Develop AD applications: AEB, HLF, parking valet, traffic negotiations

• Validation and Testing of Automated Driving Features

  • Setting up test automation framework
  • Real-time testing for ADAS ECUs
  • Interfacing with HILs and external hardware

Functional Safety and Cybersecurity

• Early Verification and Validation Using Model-Based Design

  • Efficient elimination of errors at early stages
  • Continuous and uninterrupted refinement of system and software requirements and architectural designs
  • Complete traceability and improved consistency among requirements, architecture, design, source code, and test cases
  • Certifiable tools and workflow

• Formal Code Verification

  • Adhere to coding standards: safety and security, robustness checking without testing, and compliance with ISO 26262 and ISO 21434
  • Integrate at different SDLC stages, intuitive and actionable presentation of results, decrease testing efforts
  • Integrate into development workflows—Model-Based Design, devOps, Dockerization—and run on cloud platforms