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MathWorks Automotive Conference brings together engineers, researchers, and scientists to share real-world examples and learn more about the latest automotive trends like software-defined vehicles, electrification, automated driving, and AI in engineering.
Featured Sessions
Keynote: The Tech Revolution: Transformational Changes and Challenges for the Automotive Industry
John McElroy, Blue Sky Productions
Keynote: Enabling MATLAB and Simulink for Use in the Cloud
Loren Dean and Leslie Mehrez, MathWorks
Advancing Energy Analysis at GM with the New VERDE Toolchain
Anamitra Bhattacharyya and Nathan Wilmot, GM
Featured Tracks
The agenda includes plenary sessions in the morning and three tracks in the afternoon.
Software Development
Electrification
Automated Driving
What to Expect
Inspiring Keynotes
Learn about the latest automotive trends and how MATLAB and Simulink are accelerating development.
Customer Examples
Hear about real-world applications from leading MathWorks customers.
Networking
Meet with fellow automotive engineers, MathWorks technical engineers, and product developers.
Exhibitors
Event Experience
Advancing Energy Analysis at GM with the New VERDE Toolchain
General Motors has a long partnership with MathWorks, utilizing MATLAB® and Simulink® to develop proprietary tools for vehicle efficiency and longitudinal performance analysis. Ever-increasing reliance on virtual methods in all phases of product development required improvements to simulation tool efficiency, speed, and fidelity. We also acknowledged the benefits of increased collaboration through modular tool design, democratization, and co-simulation. Recognition of these needs drove a complete redesign of core tool structure and interfaces. The newly introduced VERDE (Vehicle Energy and Range Development Environment) toolchain builds on MATLAB and Simulink with App Designer and Simscape™ to address these needs. In this presentation, hear about VERDE core capabilities, new interface, unique features, and integrated pre- and post-processing that enable General Motors to develop conventional, BEV, and hybrid architectures for leading-edge fuel economy, range, performance, and global CO2/GHG strategy.
Anamitra Bhattacharyya
GM
Anamitra Bhattacharyya is a vehicle energy model co-simulation specialist at General Motors, leading GM energy analysis tool development and co-simulation tool and method development. Her other career highlights include technical specialist at Cummins Research and Technology, senior engineer at Cummins Turbo Technologies, and project engineer at FEV, Inc. Anamitra earned an M.S. in mechanical engineering from Wayne State University and a B.S. in mechanical engineering from VNIT India.
Nathan Wilmot
GM
Nathan Wilmot is the engineering manager of the Energy Model and Toolchain Development Team at General Motors, leading the team to advance GM’s virtual capability in the vehicle energy and performance domain. Nathan has 25+ years of automotive industry experience, and the majority of his career has focused on using or developing analytical tools to effectively integrate vehicle systems. Other career highlights include global vehicle performance owner, Vehicle Energy Integration; engineering manager, North America Mass Integration; lead development engineer, Cadillac ATS; and lead energy integration engineer, GM Full Size Truck Portfolio. Nathan earned an M.S. in mechanical engineering from the University of Michigan, a B.S. in mechanical engineering from Cornell University, and a B.A. in physics from Ithaca College.
Optimizing Calibration Values of Electrified Powertrains with Machine Learning
The automotive industry is increasingly turning to computer-aided engineering (CAE) tools to streamline product development and reduce time and cost. However, the recent advancements in electric and hybrid electric vehicles have introduced complexities to the product development process. Electrified powertrains incorporate intricate electro-mechanical systems such as internal combustion engines, motors, and batteries, leading to a multitude of operating combinations that are controlled by a set of predetermined calibration variables. The calibration variables can be adjusted to optimize various attributes of the vehicles, including fuel economy and performance. With a vast calibration set available, it is impractical to manually determine the global optimum calibration based on empirical knowledge and experience. This project aims to address the challenge by reframing the calibration development as a mathematical optimization problem to identify the global optimum calibration for a defined objective function. Using Simulink®, we have developed high-fidelity system-level vehicle models for Ford’s xEVs and utilized them to optimize powertrain calibrations. Leveraging genetic algorithms, a subset of evolutionary machine learning algorithms, we have optimized the calibration to meet specific objectives. Given the high dimensionality of the problem, many simulations (10,000+) must be executed. This necessitates the use of a computing cluster with 512 parallel simulations to complete the studies in a feasible time frame. The project utilized MATLAB®, Simulink, Parallel Computing Toolbox™, and MDCS licenses, which facilitated the scalability of the problem, enabling us to complete the simulations in 100+ hours (which would otherwise take 30,000+ hours). Upon completion of the study, data analytics techniques are employed to analyze the large data set, and the best calibrations are provided to calibration engineers for further analysis and implementation in vehicles.
Shehan Haputhanthri
Ford
Shehan Haputhanthri joined the Cyber Calibration Department of Ford Motor Company in 2016 and has been working on various projects including controls development, electrified virtual vehicle (EVV) model development, and model-based calibration optimization (MBCO). Shehan received his B.Sc. from University of Peradeniya, Sri Lanka, and completed his M.Sc. and Ph.D. in mechanical engineering from Texas Tech University.
Indika Wijayasinghe
Ford
Indika Wijayasinghe is a model-based calibration and optimization engineer at Ford Motor Company since 2019. In this role, he works on algorithm development for optimization and data analytics to support model-based calibration efforts. Prior to joining Ford, the main focus of his research was on human-robot interactions and control strategy development for androids. Indika has a bachelor’s degree in electrical and electronic engineering from the University of Peradeniya, Sri Lanka, and a doctoral degree in applied mathematics from Texas Tech University.
Keynote: Enabling MATLAB and Simulink for Use in the Cloud
As automotive platforms advance, the use of cloud and other technologies is becoming central to enabling you to remain competitive. Learn about the 15-year journey of bringing MATLAB® and Simulink® to the cloud and the discoveries made along the way. See a high-level overview of the product capabilities and roadmap so that you can feel confident that these tools are ready for you when you start your cloud journey.
Loren Dean
MathWorks
Loren Dean is a senior director in the MATLAB development organization. He has responsibility for the MATLAB desktop and various product areas, including parallel computing, controls, and test and measurement. He is also responsible for the Online Products Department, which covers the MathWorks cloud, MATLAB Online, MATLAB Mobile, MathWorks Accounts, cloud platform integrations, help/support/community, online learning, product installation and licensing, and general cloud infrastructure. Loren has been with MathWorks since 1995. Prior to joining MathWorks, he worked for AlliedSignal Aerospace performing systems analysis and integration for aircraft engines, with extensive use of MATLAB and Simulink. Loren has a B.S. and an M.S. in aeronautical engineering from Purdue University and an M.B.A. from Northeastern University.
Leslie Mehrez
MathWorks
Leslie Mehrez is responsible for technical marketing of online products, bringing MATLAB and Simulink products to cloud, web, and mobile platforms. She has been at MathWorks for over 20 years. Leslie holds a B.S.E.E. from Lafayette College and an M.B.A. from Babson College.
Keynote: The Tech Revolution: Transformational Changes and Challenges for the Automotive Industry
The automobile is going through a major change in technology. And it's not just electric. The major changes include: software-defined vehicles, digital twins, zonal and centralized computing, ethernet in-car connectivity, adapting to the use of AI, and many more. New entrants are redefining how cars are made. Legacy OEMs have to find new ways to succeed in the face of rising global competition and high battery material costs. While new entrants have the advantage of a clean slate start, legacy OEMs have robust processes that have evolved over decades. But, one thing is clear, everyone has to adapt to this major disruption to be successful.
John McElroy
Blue Sky Productions
John McElroy is the president of Blue Sky Productions, Inc., and is an influential thought leader in the automotive industry. He is a journalist, lecturer, commentator and entrepreneur. He created “Autoline Daily,” the first industry webcast of industry news and analysis, and is the host of “Autoline This Week,” and co-host of “Autoline After Hours.” John broadcasts three radio segments daily on WWJ Newsradio 950, and writes a blog for Autoblog.com and a monthly op-ed article for Ward’s Auto World. As a journalist, his past experience includes five years as Detroit editor for Road & Track, the American correspondent for World Cars, and editorial director at Automotive Industries. John has appeared as an automotive expert on ABC World News Tonight, CBS News, and NBC Nightly News. He is often interviewed by CNN, NPR, and CBC in Canada, and speaks at automakers, suppliers, and industry organizations. He is a member of the jury of the North American Car and Truck of the Year, and has won numerous awards for editorial excellence.
Advancing Energy Analysis at GM with the New VERDE Toolchain
General Motors has a long partnership with MathWorks, utilizing MATLAB® and Simulink® to develop proprietary tools for vehicle efficiency and longitudinal performance analysis. Ever-increasing reliance on virtual methods in all phases of product development required improvements to simulation tool efficiency, speed, and fidelity. We also acknowledged the benefits of increased collaboration through modular tool design, democratization, and co-simulation. Recognition of these needs drove a complete redesign of core tool structure and interfaces. The newly introduced VERDE (Vehicle Energy and Range Development Environment) toolchain builds on MATLAB and Simulink with App Designer and Simscape™ to address these needs. In this presentation, hear about VERDE core capabilities, new interface, unique features, and integrated pre- and post-processing that enable General Motors to develop conventional, BEV, and hybrid architectures for leading-edge fuel economy, range, performance, and global CO2/GHG strategy.
Anamitra Bhattacharyya
GM
Anamitra Bhattacharyya is a vehicle energy model co-simulation specialist at General Motors, leading GM energy analysis tool development and co-simulation tool and method development. Her other career highlights include technical specialist at Cummins Research and Technology, senior engineer at Cummins Turbo Technologies, and project engineer at FEV, Inc. Anamitra earned an M.S. in mechanical engineering from Wayne State University and a B.S. in mechanical engineering from VNIT India.
Nathan Wilmot
GM
Nathan Wilmot is the engineering manager of the Energy Model and Toolchain Development Team at General Motors, leading the team to advance GM’s virtual capability in the vehicle energy and performance domain. Nathan has 25+ years of automotive industry experience, and the majority of his career has focused on using or developing analytical tools to effectively integrate vehicle systems. Other career highlights include global vehicle performance owner, Vehicle Energy Integration; engineering manager, North America Mass Integration; lead development engineer, Cadillac ATS; and lead energy integration engineer, GM Full Size Truck Portfolio. Nathan earned an M.S. in mechanical engineering from the University of Michigan, a B.S. in mechanical engineering from Cornell University, and a B.A. in physics from Ithaca College.
