A well-designed part helps keep passengers safe and Finite Element Analysis plays a key part in the development of such parts. Techniques such as steady-state and transient methods are used to estimate the strength of parts under linear and non-linear conditions. When you finish this module, you will learn which simulation methodologies need to be used for which type of parts and loads combinations.

Finite Element Analysis using LS-DYNA

LS-DYNA is a robust multi-physics environment. This will be the first course in this module and will help you achieve a strong foundation in FEA.

Crash-worthiness using HyperMesh and Radioss

This course is more application focussed. You will learn to perform computer simulations to estimate the crashworthiness of cars. In this regard, you will learn how to compute intrusion length and energy path distribution.

Learning a CAD Package(s) is not design. Designing is a problem solving technique, where you create a product that satisfies several constraints. These constraints can be technical and non-technical.

In this module, you will learn the art of designing to constraints. We will focus on how sheet metal parts are designed and manufactured in the industry. We will understand the different constraints that are in place while designing Body In White (BIW) components and use engineering principles to create the final product.

Understanding flow behavior is extremely critical in obtaining peak performance from various sub-systems that make up a vehicle. From intake systems to the cylinder to the after-treatment components, every inch of piping, bends, and curves has been carefully designed to satisfy the requirements of several teams.

In this module, your focus is on taking up several courses that teach how to simulate flow in systems such as superchargers, turbochargers, cabin-interior, after-treatment systems, and finally the entire vehicle.

External Aerodynamics

In this module, You will learn, how to perform external aerodynamic analysis on full-sized passenger cars and racing cars. You will understand the objectives of your simulation and will prepare the computational models accordingly.

1. Pumps, Compressors and Super-chargers
2. Depending on the segment, a passenger vehicle can have multiple turbomachinery components. Each of these components are subjected to CFD simulations to evaluate their thermal performance. In this module, you will learn the following
3. Creating the computational domain for turbo-machinery simulations.
4. Choosing the right boundary and initial conditions for the problem.
5. Employ steady and transient solvers to accomplish the end result.
6. Understand core physical models such as turbulence and cavitation modeling

Creating and Simulating a Model (1.5 hrs)

• Create a simple Simulink model, simulate it, and analyze the results.
  • Introduction to the Simulink interface
  • Potentiometer system
  • System inputs and outputs
  • Simulation and analysis

Modeling Programming Constructs (1.5 hrs)

• Model and simulate basic programming constructs in Simulink.
  • Comparisons and decision statements
  • Vector signals
  • PWM conversion system
  • Zero crossings
  • MATLAB Function block

Modeling Discrete Systems (2 hrs)

• Model and simulate discrete systems in Simulink.
  
  • Discrete signals and states
  • PI controller system
  • Discrete transfer functions and state-space systems
  • Multirate discrete systems

Modeling Continuous Systems (2 hrs)

• Model and simulate continuous systems in Simulink.
  • Continuous states
  • Throttle system
  • Continuous transfer functions and state-space systems
  • Physical boundaries

Solver Selection (2 hrs)

• Select a solver that is appropriate for a given Simulink model.
  • Solver behavior
  • System dynamics
  • Discontinuities
  • Algebraic loops

Developing Model Hierarchy (1.5 hrs)

• Use subsystems to combine smaller systems into larger systems.
  • Subsystems
  • Bus signals
  • Masks

Modeling Conditionally Executed Algorithms (1 hrs)

• Create subsystems that are executed based on a control signal input.
  • Conditionally executed subsystems
  • Enabled subsystems
  • Triggered subsystems
  • Input validation model

Combining Models into Diagrams (1.5 hrs)

• Use model referencing to combine models.
  • Subsystems and model referencing
  • Model referencing workflow
  • Model reference simulation modes
  • Model workspaces
  • Model dependencies

Creating Libraries (1 hrs)

• Use libraries to create and distribute custom blocks.
  • Creating and populating libraries
  • Managing library links
  • Adding a library to the Simulink Library Browser

Modeling Flow Charts (2 hrs)

• Implement decision flows with flow charts.
  • Junctions and transitions
  • Flow chart behavior
  • Stateflow interface
  • Conditions and condition actions
  • Chart data
  • Common patterns

Modeling State Machines (2 hrs)

• Implement state machines with state transition diagrams.
• State machine behavior
• State and transition actions
• Chart initialization
• Action execution order
• Flow charts within states
• Mealy and Moore charts

Hierarchical State Diagrams (1.5 hrs)

• Implement hierarchical diagrams to improve the clarity of state machine designs.
  • Superstates and substates
  • State data
  • History junction
  • Transition priority
  • Action execution order

Parallel State Diagrams (1.5 hrs)

• Implement parallel states to model multiprocessing designs.
  • Benefits of parallel states
  • Chart/state decomposition
  • Parallel state behavior

Using Events in State Diagrams (2 hrs)

• Use events within a Stateflow diagram to affect chart execution.
  • Using events in state diagrams
  • Broadcasting events
  • Behavior of state diagrams that contain events
  • Implicit events
  • Temporal logic operators

Calling Functions from Stateflow (1.5 hrs)

• Create functions in a Stateflow chart out of Simulink blocks, MATLAB code, and flow charts.
  • Types of functions
  • Simulink functions
  • MATLAB functions
  • Graphical functions

Truth Tables and State Transition Tables (1.5 hrs)

• Create flow charts and state transition diagrams in tabular form.
  • Truth tables
  • Conditions, decisions, and actions
  • State transition tables
  • States, transitions, and actions

Component-Based Modeling in Stateflow (2 hrs)

• Prepare Stateflow designs for component reuse and interact with structured Simulink data.
• Bus signals
• Data types
• Atomic subcharts
• Data mapping

Introduction to Simscape and the Physical Network Approach (1 hrs)

• Become familiar with the Simscape environment by modeling a simple electrical system.
  • Introduction to Simscape
  • Differences between Simulink and Simscape
  • Building and simulating a model in Simscape
  • Guidelines for Simscape modeling

Working with Simscape Components (2 hrs)

• Interpret Simscape block diagrams and identify the physical variables in Simscape by modeling a mechanical
  system.
  • Describing Simscape component fundamentals
  • Using the Simscape Foundation Library
  • Setting initial conditions
  • Logging physical variables

Connecting Physical Domains (1 hrs)

• Connect models from different physical domains to create a single, multidomain model.
  • Creating multidomain physical components
  • Modeling ideal and nonideal connections between physical domains
  • Dividing components into subsystems
  • Parameterizing models

Combining Simscape Models and Simulink Models (1 hrs)

• Add Simulink blocks to a Simscape model to increase modeling flexibility.
  • Connecting physical signals and Simulink signals
  • Performing operations on physical signals
  • Controlling physical models
  • Solving models with Simscape and Simulink blocks

Creating Custom Components with the Simscape Language (2 hrs)

• Leverage the Simscape language to create custom physical components in Simscape.
  • Simscape language
  • Custom component workflow
  • Complete custom component example

• Introduction to Battery models and Battery terminology Simscape language
• Creating Battery Models using Simscape
• Cell model and characterization
• Battery Pack Modeling

• Battery Management System Overview
• SoC Estimation using Extended Kalman Filter
• Cell Balancing using Stateflow Logic
• Testing Battery Management System using Simulink Test

The topics below focuses on modeling electric powertrain systems using Powertrain Blockset. Topics include:
• Construct Entire Vehicle level model using Powertrain block library
• Component Sizing for battery and motor choices
• Range and performance estimation
• Identify powertrain architecture for better performance

This topics below focuses on modeling power electronic systems using Simscape Electrical™. Topics include:
• Modeling single-phase power electronic components
• Controlling the level of fidelity in a model
• Developing controls for power electronics
• Modeling three-phase power electronic components
• Controlling power electronics for motor drive applications