How to Win Using Modeling and Simulation
Speaker | Sam Reinsel |
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Time and Date | February 22, 2021 @ 3:00 PM ET |
Attendees | Brielle |
Overview |
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Resources | Reach out: sreinsel@mathworks.com Racing lounge team: racinglounge@mathworks.com They also have a Facebook group The slides: Student team tutorials: |
@/Katherine there’s a link to fill out for us to get free MatLab licenses - https://mathworks.com/academia/student-competitions/american-solar.html
Equation Based Modelling:
Easiest and fastest
For power train components:
Not much information needed to input to get useful info from graphs and a check if parts will work
Powertrain components are built using smaller components
Can look in each model for details about how it is being modeled
Can override specific parts (ex: specific analysis of batteries or motors)
Can generate code and put them in simulator for hardware testing
Made with MatLab project and helps organize everything
inside the motor component
can also switch to more complicated motor model
can consider effects during certain maneuvers
don’t care about pitch or roll of vehicle
start considering yaw, turns
Everything being considered - 14 degrees of freedom
Models suspension in lots of detail
Can’t model custom vehicle rn in 3D but can use a different car model to see
red dots = target path
Can make lidar point cloud generation
Get camera output
For multidomain systems: combination of systems (mech, electrical, etc)
There’s also a simscape language to create custom blocks/components
Those blocks can use same equations as earlier
Automatically creates direction between components
Simple multidomain system
Includes friction and load torque in system
Simscape will derive equations
Lots of add-ons
Multi-body simulation
Starter models for solar components
Plot from above slide!
can use data from battery cells and develop Simscape model
Mechanical Systems
Can import CAD geometry
4 post test rig
Uses simplified CAD geometry
Similar to what’s used in industry
Can get 3D representation of force on test rig
Can combine the different models/toos
Can import and export C/C++ code from simulink
Useful tutorial links
They also have Onramp courses for more in depth areas, signal processing, control design, machine learning, etc.
more resources in discord
Question: Is there a way to work collaboratively on the cloud
Answer: For smaller stuff, can use MatLab drive. For larger stuff, not really, but using projects is really helpful and can incorporate version control.