Why electric vehicles need model-based design? Because of the rising complexity in new vehicles, model-based design & systems engineering is needed to cascade the requirements and trace back any modification along the engineering lifecycle. Find out more in this presentation of a customer case about electric motor optimization.

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Electric Motor
Optimization
-
Scilab
&
SimulationX
Yann Debray – Scilab Director
Preliminary Design
27 November 2019

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Agenda
• Introduction
• Electric Motor Modeling
• Finite Element Modeling
• System Modeling
• System Integration
• Product lifecycle
• Functional Mock-Up Interface
• Open Services for Lifecycle Collaboration
• Design Space Exploration & Optimization

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Every single car goes through Model Based Design

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CHASSIS & SUSPENSION
CAR BODY
POWERTRAIN
Rising product complexity brings changes in the organizations
INTERIOR
Pictures from several websites, no authorization to be published

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From Model Based Design to Model Based Systems Engineering
Product Performance Lifecycle
Engineering
Preliminary
Design
Detailed
Design
Prototype
Component
Verification
System
Validation
Manufacturing In-Service

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Cascade requirements
Preliminary
Design
Detailed
Design
Engineering
Prototype
V
Vehicle
Specs
• Range
• Top Speed
• Time 0-100 km/h
• Torque
• Speed
• Power
Motor
Specs

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Electric Motor Modeling

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Electric motor modeling
Static Finite Element Model Dynamic System Model Optimization Application

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Static Finite Element Model
Electromagnetic FEA Simulation
FEM Outputs – System model InputsElectromagnetic FEM Simulation

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Dynamic System Model
SimulationX Model
Inputs & Outputs MapSimulationX Model

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12
System integration

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User personas
• Electric Motor Optimization
• System engineer
• Simulation engineer
• Test engineer
Virtual Real
System
Test
Simu
Time

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User stories
• Electric Motor Optimization:
1. System Model
2. Finite Element Model
3. Test & Measurements
Virtual Real
System
Test
Simu
Time

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Going back to system modeling and validation
②
①
③
System
Test
Simu
Time

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Functional Mock-up Interface

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FMI + Open Source
New innovative ways for open collaborative Model Based Design:
--> Separate the model authoring tool from the model execution tool
--> Deploy from few simulation specialists upwards and downwards the cycle
--> Free the model unit (FMU) from license restrictions

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Model-Exchange & Co-simulation
Scilab/Xcos
Control team
Software X
Mechatronic
team

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Different execution modes
Model Exchange Co-Simulation
The solver is provided by the execution tool The solver comes from the authoring tool

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FMU implementation

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Scilab Application based on FMI
SCILAB APPLICATION

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Open Services for Lifecycle Collaboration
Beyond simulation

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Model Based Systems Engineering
Based on
VisualDSS &
Partner tools
In-Service
Predictive maintenance,
monitoring, …
Virtual Test
MIL, SIL, HIL, …
Virtual Prototype
Pre-certification
Manufacturing effects
Detailed Design
Pre-experience
Preliminary Design
From requirement to
Model-Based Design
System integration is key
Tools have to work together
Product Performance Lifecycle
OSLC OSLC OSLC OSLC OSLC
OSLC: Open Services for Lifecycle Collaboration

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25
Design Space Exploration & Optimization

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Design Space Exploration
SCILAB GUI
for
DESIGN SPACE EXPLORATION

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Design Optimization
SCILAB GUI
for
DESIGN OPTIMIZATION
through
PARETO FRONT
Multi-objective optimization:
Maximize torque and efficiency, minimize ripple

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Electrical Motor
Design Optimization
Design parameters:
• 2D Geometry
• Electro-Magnetical
(flux linkage)
Multi-objectives:
• Torque
• Power
• Efficiency
(in steady-stade)
Torque
Power
Trade-off Line
Theoretical optimum
Design space Objective space
P
Pareto Front
Dominant PointsDominant Points
Pareto Set
Efficiency

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ご清聴ありがとうございました。
Thank you very much!

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Potential next step: Co-Simulation
SimulationX Model
Finite Element ModelSystem Model