MathWorks Automotive Conference 2024

Agenda

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Tracks

A Software Development

B Electrification

C Automated Driving

8:30 a.m.
Registration and Welcome
9:00 a.m.
9:30 a.m.
10:00 a.m.
Break and Technology Showcase
10:30 a.m.
Advancing Energy Analysis at GM with the New VERDE Toolchain Anamitra Bhattacharyya, Nathan Wilmot, GM
11:00 a.m.
11:30 a.m.
12:00 p.m.
Lunch and Technology Showcase
1:15 p.m.
2:05 p.m.
A
Software-Defined Vehicle Realization with Model-Based Design and FEV’s Gateway Dr. Hamzeh Alzubi, FEV North America
B
Development of a Real-Time Thermal System Model for Electric Class 8 Trucks Vikrant Chiddarwar, Navistar
C
Developing Simulink Co-Simulation with SUMO and CARLA Fangjun Jiang, Ford
2:30 p.m.
A
Using Bus Element Ports and MATLAB Functions in Simulink for Algorithm Development Jeff Runde, Allison Transmission
B
4 Advantages of Making Esoteric HIL Testing Accessible Pratik Mahamuni, Avinash Divecha, Nikola Corporation
C
Scene Sync: Bridging Real-World Scenarios with Virtual Environments for ADAS Development Amit Sharma, Aptiv
2:55 p.m.
A
SIL for E-Drive Systems for Virtual Calibration and Development Daniel Berry, Srinivas Naveen, GM
B
A Unified Data Analytics Framework for Time-Series Data Sundeep Tuteja, PACCAR
C
Scenario Simulation for Automated Driving with MATLAB, Simulink, and RoadRunner Don Bradfield, Linghui Zhang, MathWorks
3:20 p.m.
Break and Technology Showcase
3:50 p.m.
A
Migration of a Monolithic Algorithm to Service Oriented Architecture (SOA) Mark Danielsen, MathWorks
B
A New Method for Battery Characterization Javier Gazzarri, Xiangchun Zhang, MathWorks
C
Electric Vehicle Chassis Modeling and Control Applications Jason Rodgers, Kevin Oshiro, MathWorks
4:15 p.m.
A
How Cloud-Based Virtual Vehicles Can Help You Build Your Next-Gen Software Sameer Muckatira, MathWorks
B
Deep Learning–Based Reduced Order Models for Electric Motors Shyam Keshavmurthy, MathWorks
C
Automated Driving in the Urban Environment with RoadRunner Scenario Seo-Wook Park, MathWorks
4:40 p.m.
End of Event