Attend MathWorks Automotive Conference 2025 North America to connect with MathWorks and industry experts and learn more about the latest automotive trends. Discover new features and capabilities for MATLAB and Simulink and hear firsthand how customers are successfully using them.
Featured Topics
- Virtual Development
- Electrification
- Software Development
- AI in Engineering
Why Attend MathWorks Automotive Conference 2025 North America?
Get inspired by the new automotive trends and customer success stories from leading MathWorks customers.
Connect with other engineers, researchers, and scientists in the automotive community who use MATLAB and Simulink.
Gain insight from trusted experts who are transforming the automotive industry.
Featured Sessions
Richard Rovner, MathWorks
Keynote: The Roadmap for Software-Defined Vehicles and Disruptive Technologies
“Software-defined vehicle” has become a buzzword and the real question is, how it should be addressed? Is it a “revolution” or “evolution?” How can tool vendors work together to help? And what is the role of the cloud and emerging technologies like generative AI? In this talk, explore three technical approaches—software factory, virtualization/simulation, and service-oriented architectures—that are key to answering this question. Until now, these approaches have often been pursued independently and in limited ways. That leads to inefficiencies as well as friction between systems engineering and software engineering teams. Learn how model-based approaches can evolve and scale in a coordinated and synergistic fashion to revolutionize the value of software in the vehicle and how the cloud has evolved from a general technology to a focused engineering enabler—taking a collaborative, multi-vendor approach.
Richard Rovner
MathWorks
Richard Rovner is vice president of marketing for MathWorks. He leads the worldwide marketing organization of 400+ people responsible for strategic planning; product and technology strategy; industry, higher education, and field marketing; digital marketing and creative services; corporate communications; and marketing planning and operations. He spent the first part of his career developing applications in computer vision and image processing, machine learning and artificial intelligence, simulation, and statistical analysis. He has a B.S. in applied mathematics from Carnegie Mellon University and an M.S. in computer science from George Washington University.
Seth DeLand, MathWorks
Generative AI in the Engineer’s Toolbox
GenAI is becoming a key technology for engineers doing research and development. While the capabilities of the technology continue to expand, practitioners are learning how to best integrate GenAI with their workflows and get the most value from the tools. MathWorks is investing in copilots that enhance products like MATLAB® and Simulink®, combining the benefits of high-level tools for algorithm development and Model-Based Design with the speed and productivity gains of AI assistants.
In this talk, learn how these copilots will impact R&D engineering workflows across a variety of use cases including explaining code and models, advising engineers on tools and techniques, creating and improving code and models, verifying results, and automating workflows.
Seth DeLand
MathWorks
Seth DeLand is product marketing manager at MathWorks for generative AI. His focus is augmenting engineering and scientific workflows with generative AI. He has also held roles at MathWorks as product marketing manager for machine learning and numerical optimization products and in technical support. Prior to joining MathWorks, Seth earned his B.S. and M.S. in mechanical engineering from Michigan Technological University. His research was in mathematical modeling techniques for selective catalytic reduction on diesel vehicles to reduce NOx emissions.
Hunter Poole, General Motors
Streamlining FMU-Based Calibration in Vehicle Co-Simulations at GM
Running complex full vehicle integrated co-simulation often requires utilizing virtual ECUs (vECUs) from various sources. Compiling these vECUs as functional mock-up units (FMUs) provides the flexibility to run in different environments. However, ECU software typically contains thousands of calibrations that must be updated as the vehicle is developed. Exposing each calibration as an FMU parameter can make updates tedious in certain toolchains. In this presentation, see how MathWorks and GM collaborated to develop a toolbox that allows an FMU to be exported from Simulink®, enabling it to read a single calibration file directly. This functionality allows users to easily point the FMU to a calibration file during simulation, automatically calibrating it before the simulation runs. This eliminates the need to manually or script updates for thousands of parameters in each environment where the vECU is used.
Hunter Poole
General Motors
Hunter Poole is a vehicle dynamics simulation integration engineer at General Motors. He is focused on developing software-in-the-loop vehicle integration environments for active chassis controls development. He has a wide range of experience with active chassis controls systems including electric power steering, semi-active damping, active roll control, active rear steer, and brake controls. He joined GM in 2017 as a steering development engineer and has had assignments in vehicle integration and manufacturing before joining the vehicle dynamics simulation team. Hunter holds a Bachelor of Science in mechanical engineering from Texas A&M University and a Master of Engineering in automotive engineering from the University of Michigan.
Sachin Bhide, Stellantis
Vladimir Samokhin, Stellantis
STLASim: Stellantis’s Multidisciplinary Virtual Analysis Ecosystem
At the formation of Stellantis, various modeling, simulation, and analysis tools were used across the vehicle development process. Unity in modeling was the primary goal in the creation of STLASim, a unified platform developed in the MATLAB® and Simulink® environment that integrates multiple tools and models to address inconsistencies in tool utilization across Stellantis. It combines different vehicle subsystems, such as propulsion and thermal mechanization, into one simulation environment. Users can select the appropriate fidelity of models (e.g., battery, motor, and engine) based on analysis needs, optimizing computational resources. It supports co-simulation with several commercial off-the-shelf (COTS) software tools enhancing its versatility.
The platform features a user-friendly HMI that simplifies model configuration and data management. During development, various GUI frameworks were evaluated. MATLAB was ultimately chosen for its native Simulink integration, data processing capabilities, and cross-platform support. STLASim was developed with a structured release process, ensuring each version is fully validated. STLASim supports collaborative development with version control and repository planning, enabling data and model management. It also offers extensive training resources and user support through an online ticketing system. The platform is used throughout Stellantis’s vehicle development V-curve—from conceptualization and validation to virtual calibration—reducing the need for physical prototypes. STLASim is being adapted for high-performance cloud computing via AWS, further enhancing its efficiency. AI tools are also being integrated to improve simulation capabilities.
Overall, the MATLAB and Simulink environment has been crucial to STLASim’s success, providing a modular system with advanced features like reduced-order models, variant management, and cloud connectivity. With support from MathWorks, STLASim aims to become Stellantis’s unified simulation framework.
Sachin Bhide
Stellantis
Sachin Bhide is a manager at Stellantis and has spent 15 years in the industry working on hybrid and electric vehicle powertrains and control systems with a focus on simulation driven engineering. He was part of the teams that designed and developed the FIAT 500 electric, Chrysler Pacifica Hybrid eVT powertrain, rear wheel hybrid systems, and 4Xe powertrain systems inside Stellantis. This included powertrain architecture selection, component sizing, and calibration done in virtual environment. Sachin led global teams that developed powertrain analysis tools and their applications ranging from powertrain architecture selection, design, component sizing to controls and calibrations. He believes that many activities related to vehicle controller design and calibrations can be done on computers, saving time, cost and effort. Sachin holds a master’s degree in mechanical engineering from University of Michigan Dearborn and is pursuing a Ph.D. part-time at Oakland University.
Vladimir Samokhin
Stellantis
Vladimir Samokhin is the engineering team lead responsible for developing the user interface and automation software for propulsion system simulation at Stellantis. Prior to the creation of Stellantis, Vladimir was a software developer working on FCA’s global CO2 simulation suite, developing both the simulation framework and models. He performed powertrain matching analysis for Chrysler LLC and developed controls at FEV, Inc. for a hydraulic hybrid vehicle. Vladimir has an M.S. in mechatronics from Oakland University and a B.S. in electrical and computer engineering from Rutgers University.
Adithya Vignesh Jayaraman, Rivian
Oli Fairfax, Rivian
Modular Vehicle Configurator for Simulations with MATLAB and Git
The automotive industry’s increasing reliance on simulations for efficient vehicle development necessitates a robust infrastructure to manage and scale these simulations effectively. This presentation expands upon a key module within Rivian’s Vehicle Simulation Interface tool, previously presented at MAC 2023: a virtual vehicle configurator designed to promote data integrity and consistency. Recognizing that reliable simulations depend on both accurate models and trustworthy input data with full traceability, this configurator focuses on the latter, ensuring confidence in simulation results.
This solution based on MATLAB® and Git™ empowers engineers to construct virtual vehicle data structures by combining modular components such as the aero, springs, motor, battery, tires, and other constituent “parts.” By enforcing the use of gold-source approved data, the configurator guarantees consistency and traceability of vehicle parameters within simulations. Leveraging MATLAB App Designer and object-oriented programming, it provides an intuitive interface for building and managing these configurations. Git integration provides a robust foundation for version control, facilitating collaboration and streamlined data management. The system employs a structured JSON file format for storing component data, promoting interoperability with tools beyond MATLAB. This approach enhances ownership and traceability, linking components to specific engineers and tracking their development lifecycle. Crucially, the configurator accelerates product development by enabling rapid iteration on vehicle components within a simulation environment—a process that would be impractical with physical prototypes in a short timeframe. By automating data management and ensuring data integrity, the system minimizes manual effort, allowing engineers to focus on design and analysis.
In this presentation, explore the configurator’s architecture and see how the synergistic use of MATLAB, Git, and JSON files create a robust and scalable solution for managing vehicle simulation data, ultimately improving efficiency and collaboration in virtual vehicle development.
Adithya Vignesh Jayaraman
Rivian
Adithya Vignesh Jayaraman is a senior toolset engineer at Rivian Automotive with seven years of industry experience. He develops simulation tools and models for virtual vehicle analysis to support the creation of cutting-edge electric vehicles. He leads the development of the Vehicle Simulation Interface (VSI), a suite of tools based on MATLAB that streamline vehicle simulation workflows, enabling the company to scale and manage a large volume of simulations efficiently, and providing a platform for all engineers to run vehicle simulations regardless of expertise. He also leads development of 1-D full-vehicle models in Simulink for range and thermal analysis with a focus on standardization and cross-functional use of common vehicle models across the company. Prior to Rivian, he spent three years at Cummins Inc. as a systems analytics and modeling engineer, focusing on anomaly detection and statistical tools for fleet data analytics of heavy-duty diesel engines. Adithya holds an M.S. in mechanical engineering from Purdue University.
Oli Fairfax
Rivian
Oli Fairfax is the senior manager of vehicle modeling infrastructure at Rivian Automotive. He leads the development of a comprehensive suite of tools designed to streamline vehicle simulation processes, enable efficient universal data viewing and post-processing, and manage complex full-vehicle simulations. He manages and develops the integration of Simulink models for use with commercial off-the-shelf tools (COTS) within our toolsets. Oli has over ten years of specialized experience in vehicle simulation and toolset development using MATLAB and Simulink, and his contributions significantly enhance the efficiency and effectiveness of simulation workflows for teams including vehicle dynamics, vehicle performance, durability, towing, and thermal. Before joining Rivian, he served as a vehicle dynamics engineer at McLaren Automotive Ltd., where he was responsible for developing key simulation tools and conducting detailed vehicle performance simulations. Oli earned a master's degree in mechanical engineering from Bath University.
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