Random Vibration (PSD) Analysis with Ansys Mechanical

The purpose of random vibration analysis is to determine the response of structures to vibration loads that are random in nature. An example would be the response of a sensitive electronic component mounted in a car subjected to the vibration from the engine, pavement roughness, and acoustic pressure.

The frequency content of the time history (spectrum) is captured along with the statistics and used as the load in the random vibration analysis. This spectrum, for historical reasons, is called Power Spectral Density or PSD. In a random vibration analysis, since the input excitations are statistical in nature, so are the output responses such as displacements, stresses, and so on.

Ansys Sherlock - Electronics Reliability Prediction Software

Trace Modeling Reinforcement with Ansys Sherlock

When a thermal or thermal-stress analysis is needed for design of electronics PCB or packaging, it is important to consider the impact of copper traces. Historically, traces have been modeled using Effective Material Properties or Mapped Material Properties (Trace Mapping). The most recent and most accurate technique is Trace Reinforcement Modeling used in both Ansys Sherlock (electronics reliability prediction software) and Ansys Mechanical (finite element analysis) software tools.

The Trace Reinforcement Modeling procedure begins by loading ECAD (e.g. ODB++) into Sherlock, then exporting to an Ansys Workbench project (transfering components, materials, etc). Traces are exported from Sherlock using the .STEP file format and imported to the same Workbench project, where assignments are added for thickness and materials.

Using this simple and straightforward technique we can perform detailed and accurate Structural/Thermal/Dynamic/ Thermal-Stress analysis of the electronics assembly. We can calculate temperature, deformation, and stress distributions for the PCB, components and traces.

Ansys Sherlock - Electronics Reliability Prediction Software Ansys Sherlock - Electronics Reliability Prediction Software
Ansys Sherlock - Electronics Reliability Prediction Software Ansys Sherlock - Electronics Reliability Prediction Software


To learn more on how to perform this analysis, please watch this video.

Battery Management System

Battery Solutions: Battery Management System (BMS)

Battery Management System (BMS) is crucial to battery pack safety and performance. BMS is batterie’s control center and keeps cells within specified operating range and shuts off battery when safety issues are detected. Software & hardware work in tandem to monitor battery performance and usage.  BMS impacts weight, mechanical and thermal subsystems and requires compliance to Functional Safety Standards such as ISO 26262 (ASIL C, D). Ansys solution is to use Medini, SCADE and Twin Builder in tandem to develop the BMS in a very efficient way as the following

  • Using Ansys Medini for Safety analyses i.e. FTA, FEMA and HARA
  • Ansys SCADE to connect safety requirements to generate a compliant code (Model Based)
  • Using Twin Builder to do Physics-Based Battery Simulation
Battery Management System

Fig. 1) Steps of developing and testing BMS using Medini, SCADE and finally Twin Builder


Battery Management System ISO 26262

Fig. 2) A cost-effective solution for the development and verification of BMS


The benefits of using Ansys method can be listed as below:

  • ANSYS Medini supports all Functional Safety Activities for ISO 26262
  • ANSYS SCADE flow supports all software development activities for ISO 26262, ASPICE, AUTOSAR
  • The gains of the approach are 40% to 50% of cost reduction demonstrated on user cases
  • 2x Increase in time to market: Early detection of flaws, automated production of readable, portable, high performance and high-quality codes, and improved long-term maintainability

Learn more about battery simulation solutions on our Battery Solutions webpage.

Digital Twin Reduced Order Model

Battery Solutions: Reduced Order Models (ROM) and Digital Twin

Reduced Order Models (ROM) and Digital Twins are very promising and favorable in our time and they have a lot of applications. Ansys platform allow us to create ROM and Digital Twin of batteries to predict the electro chemical and thermal behavior of batteries from cell to pack. Here are the steps to create ROM from Fluent results or test data:

  • Create cell ECM from HPPC data
  • Create module ECM using cell ECM
  • Generate thermal ROM training data in Fluent
  • Create LTI ROM in Twin Builder using training data generated by Fluent
  • Couple the Module ECM and thermal LTI ROM in Twin Builder
  • Create pack and connect to cooling pate if needed

ECM (Equivalent Circuit Model) represents the electro-chemical behavior using test data while Thermal ROM mimics the Thermal behavior. On the other hand, the ETC (Electro-Thermally Coupled) model include all these in one coupled model. The procedure is shown below:

Digital Twin Reduced Order Model

Fig. 1) Steps of making a thermal ROM and ECM to create and ETC ROM in Ansys Twin Builder


Learn more about battery simulation solutions on our Battery Solutions webpage.

Digital Twin Aircraft

Webinar: Digital Twin and Industrial Innovation

Digital Twin Aircraft

A digital twin is a replica of an in service physical asset that mirrors the life and and experience of the asset. This enables to measure its functionality, efficiency, and performance. In addition, enables system design and optimization, predictive maintenance and optimized industrial asset management. Growing the digital twin ecosystem ultimately will help us reduce risks, while allowing industrial companies to expand their horizon in product development.

Join us on February 24 to learn more about digital twin and industrial innovation.