Business unit Automotive

Safety for all road users

The traffic of the future presents us with major challenges: Increasing automation, an increasing proportion of battery electric vehicles and the multimodality of traffic.

Service portfolio

Detailed Service portfolio

Material characterization
  • Mechanical characterization of materials, fabrics and components
  • Meso- and micromechanical determination of material characteristics
  • Standardized nondestructive material testing
  • Test methods for micro- and nanostructure of materials
  • Acoustic microscopy and micro-computed tomography
Modeling and simulation
  • Development and implementation of material models for all material groups and material structures concerning the requirements of quasi-tatic as well as high-dynamic strain rates
  • Calibration and validation of material models in commercial finite-element codes
  • Crash simulation from component levels up to complete vehicles
  • Simulation of fluid-structure interactions
  • Development of tools to support the calibration of material models
Crash Center of the Fraunhofer-Gesellschaft
  • Crash center for new methods and materials
  • Flexible and demand-dependent test setups
  • Crash tests from component levels up to complete vehicles
  • Development of measurement techniques and sensors for crash tests
  • Support of crash tests through crash simulation
Active vehicle safety
  • Reliability analyses of hard- and software systems
  • Modeling of the technical system vehicle with hazard analysis, FTA, FMEA and more
New mobility concepts
  • Modeling and simulation of vehicle batteries under dynamic loads
  • Diagnosis tools for high-voltage components in electric vehicles
  • Test bench to examine the crashworthiness of electric vehicle batteries
  • Static and dynamic destructive testing methods for batteries

Interaction between experiment and simulation

© Fraunhofer EMI
X-ray images are simulated on the basis of FE simulations. This data helps to optimize the experimental setup. The data obtained in the experiment validates the simulation models.

Research examples

X-Ray Car Crash: Dynamic in-situ X-ray diagnostics in full-vehicle crash tests

AI-based real-time prediction of pedestrian and cyclist injury severity

Simulations and experiments on the thermal runaway of battery cells

Design of protective structures for high-voltage storage systems

Agent-based traffic simulations and automatic early detection of critical situations

Simulations and experiments on airbag deployment

Profile

The central topics of the business uegment Automotive are the mechanical characterization and numerical modeling of modern materials, composites and components under static, shock, and impact loading. The possible applications of the examined materials range from safety-relevant components for crash loading in the automotive field to structures that are exposed to extreme deformation velocities during impact processes in the aerospace sector. 

In material characterization, methods for micro- and nanostructure analyses are increasingly used alongside standardized, nondestructive and destructive test methods. Especially the use of acoustic microscopy and micro-computed tomography foster research on the characteristics of relevant materials up to very small length scales. This is necessary because in materials, many relevant processes that decisively influence macroscopic behavior (e.g., in case of car-crash loading) take place on the micro- and nanoscale. The experimental portfolio is complemented by special facilities for material characterization at high deformation velocities. For example, a test bench for the examination of the crashworthiness of electric vehicle batteries and a component crash-test facility yield important findings for the structural design of modern vehicles. 

The second topic of interest is numerical modeling. In this process, mathematical equations, mostly based on the experimental results gained from material characterization, are applied in numerical simulations. In the simulation, these equations reproduce the physical behavior of the respective material under different types of loading. Especially the fast development of new materials and the necessity to understand their behavior in case of complex loading without having to conduct elaborate experiments illustrate the importance of material modeling. To realize this, both commercial simulation software such as LS-DYNA, PAM-CRASH, ANSYS Autodyn and ABAQUS as well as SOPHIA, a software developed at EMI, are used. The combination of experimental material characterization and numerical modeling allows to carry out predictive and reliable simulations of crash and impact scenarios concerning components and structures.

Current research at Fraunhofer EMI

 

Artificial intelligence for real-time injury prediction

The goal of the ATTENTION project is to develop a method for real-time injury prediction of vulnerable road users (VRUs), such as pedestrians or cyclists.

 

KIsSME — data acquisition of critical traffic scenarios

 

Fully digital product development of sustainable electric drive architectures

 

AIMM-Project – Systemizing the load case definition for component tests

 

Research archive