9:45–10:15
The development of software-defined vehicles demands processes that can help decouple software from hardware, design self-contained apps for easy updates, and automate software build and testing, while still ensuring the consistency and traceability required for software quality, safety, and security.
Model-Based Design offers distinct advantages that can help you go from software architecture conceptualization to component design and back up to software integration and testing–enabling higher quality and reliability of the final product. In this presentation, you’ll see how Simulink® is rapidly evolving to realize this vision. Recent investments have helped create an environment that accounts for major trends in service-oriented architectures, code-based component development, virtual testing, continuous integration, and much more.
Ramamurthy Mani,
MathWorks
Sanjeev Madhav,
Tata Consultancy Services
Prashant Rao,
MathWorks
11:30–12:30
As software continues to drive significant innovations, the automotive industry is transforming itself to acquire the necessary skills and infrastructure to deliver vehicles that are connected, personalized, and updated over their lifecycle. This shift requires evolution in semiconductor technology, vehicle architecture, software development workflows, and collaboration among stakeholders to build an ecosystem. Join a well-curated panel discussion to explore aspects related to software-defined vehicles (SDVs) including:
Moderator: Prasanna Deshpande,
MathWorks
14:45–15:15
The rising demand for advanced battery technologies requires frontloading of battery development. In this talk, discover how to virtualize battery development by integrating high-fidelity battery pack models, including thermal and cooling systems. Then learn how to integrate this model into a virtual vehicle and scale the simulation in the cloud. While this talk uses a battery as an example, the workflow is applicable to the development of any other EV component.
Highlights:
15:15–15:45
Over 5 lakh people lose their lives every year in India due to poor air quality from road transportation. In 2019, 21 of the 30 most polluted cities in the world were in India!
Founded in 2013 and based in Bengaluru, Altigreen designs, engineers, and produces 3-wheeled electric vehicles using proprietary and indigenously built technologies. Altigreen‘s Made in India/Made for India products are specifically designed for the environment, road conditions, and driving behaviors in India. Altigreen’s product offerings stand on four strong pillars: longest range, largest volumetric capacity, highest ground clearance, and greatest torque.
All components, including the motor, motor controller, power electronics converters, telematics/IoT, gearbox, battery, and BMS, are designed and manufactured in our 3 lakh square foot facility in Malur, Karnataka.
Altigreen uses MATLAB® and Simulink® products for its system level simulations and software design, and Embedded Coder® for development. In this session, learn how using MATLAB and Simulink has helped us solve specific technical challenges related to component sizing, BMS design, and more—and reduce the time-to-market for our products.
Prathamesh Patki,
Altigreen
15:45–16:15
The Indian Institute of Technology Bombay (IITB) has established a center of excellence (CoE) for e-mobility to foster collaboration between industry and academia in addressing industry challenges. The CoE has been actively working with various companies to tackle issues concerning power electronics and e-mobility. This presentation highlights the success of the team’s simulation-driven approach to overcoming challenges related to power electronics control design and component reliability. This includes:
Dr. Sandeep Anand,
Indian Institute of Technology Bombay
Abhinav Arya,
Indian Institute of Technology Bombay
16:45–17:45
In this master class, explore the latest advancements in motor control algorithm design and deployment, specifically in the context of vehicle electrification. These algorithms play a crucial role in regulating performance characteristics such as speed and torque. The session will focus on highlighting the unique capabilities of these algorithms and providing an efficient process for their development and implementation.
Highlights:
14:45–15:15
The emergence of autonomous commercial vehicles has become a significant trend driven by the need to address driver shortages and enhance safety. As these vehicles heavily rely on software for their operation, it is crucial to develop robust and efficient algorithms to enable autonomous driving. This talk highlights MATLAB® and Simulink® products, including Stateflow®, in the software development process for autonomous commercial vehicles.
From requirements to testing, MATLAB and Simulink provide a comprehensive platform for control and path planning software development. The complexities inherent in designing algorithms for commercial vehicles necessitate powerful tools to tackle challenges effectively. MATLAB and Simulink offer a wide range of capabilities that aid in controls and planning algorithm development, allowing engineers to address complex scenarios.
They also facilitate code deployment for prototyping, enabling engineers to validate their algorithms on real-world hardware in the commercial vehicle. This prototyping capability provides invaluable insights and opportunities for refining and optimizing algorithms in terms of functionality and performance before full-scale implementation.
By leveraging the powerful capabilities of MATLAB, engineers can effectively navigate the intricate landscape of autonomous commercial vehicles, ensuring the development of robust, efficient, and safe autonomous driving systems.
Gangadhar Malagi,
Daimler Truck Innovation Center India
Nikhil Nair,
Daimler Truck Innovation Center India
15:15–15:45
ASAM OSI® (Open Simulation Interface) is a generic interface based on Google’s protocol buffers for the environmental perception of automated driving functions in virtual scenarios. It is a specification for interfaces between models and components of a distributed simulation. ASAM OSI is strongly focused on the environmental perception of automated driving functions.
In this presentation, explore the capabilities of ASAM OSI in facilitating the simulation of advanced driver-assistance systems (ADAS) electronic control units (ECUs) within a virtual environment. Learn how constructing simulation models around ASAM OSI achieves a plug-and-play functionality that seamlessly integrates with any environmental simulator. This approach allows APTIV to develop a versatile platform capable of meeting the diverse requirements of customers while minimizing the need for extensive customization and enabling faster delivery. See how you can use RoadRunner as a tool that generates scenarios and creates ASAM OSI files, which are subsequently utilized for simulation and validation of the models and ECUs.
15:45–16:15
Automated driving features are a combination of multiple complex systems. Testing and validation of these features requires millions of kilometers of scenarios; however, this is not feasible to test on on-road systems. In view of different levels of automation, there is a dire need of a modular and scalable platform that allows X-in-the-loop simulation.
Having a configurable vehicle model used for software-in-the-loop testing provides substantial advantages compared to the physical test drives. It enables automated, efficient, and extensive testing methods with minimal risk and costs for time and equipment.
The current simulation framework allows you to create test scenarios with predetermined traffic behavior. However, there is a need for systematic usage of scenarios for testing and validation of automated driving systems, needed particularly in modeling the driving environment and traffic dynamics. This allows a realistic, robust, and usable environment of the test scenarios.
In this talk, learn about a cosimulation framework between RoadRunner from MathWorks and CarMaker from IPG and how to use it with a third-party simulation framework for validation. See how to bring realistic traffic models into the driving environment to ensure all complex and corner case scenarios are covered during the validation. This cosimulation platform allows you to test millions of kilometers by combining vehicle simulation with virtual simulation software environments.
16:45–17:45
Automated driving spans a wide range of automation levels, from advanced driver assistance systems (ADAS) to fully autonomous driving. As the level of automation increases, the need for testing these features on multiple scenarios becomes important and the testing requirements increase multifold, making the need for modeling and simulation more critical. Creating virtual environments in the form of scenes and scenarios along with a testbench is important to achieve effective simulation.
In this session, learn how RoadRunner and RoadRunner Scenario™ can help you design scenarios for simulating and testing automated driving systems. See how to incorporate scenarios in a closed loop with algorithms for testing automated driving systems.
Discover how to:
Munish Raj,
MathWorks
14:45–15:15
As the automotive industry is going through transformation with new trends and technologies, the current vehicle architecture is reaching its limits and needs to have an innovative ground-zero approach for a future vehicle architecture.
The traditional method of automotive feature development involves designing hardware and software and then integrating them into the vehicle. As advancing features are becoming more interdependent, a software-driven approach to feature development can balance and limit complexity and integration efforts. Software-driven feature development is characterized by designing and laying out central computing units able to run not only features of different domains, but also any further features to the vehicle that might be added via pure software additions after vehicle shipment.
This session highlights the FEV demonstrator project, which lays out software-defined vehicle architecture based on cross-domain applications, and to prove its feasibility by a prototype. The project uses the existing Model-Based Development workflow while developing this software-driven architecture based on the Adaptive AUTOSAR standard.
Akshay Bujone,
FEV India
15:15–15:45
In recent years, software in the automotive industry has become an important part of success. Vehicles are increasingly becoming part of the modern, digital, and fast paced world. To meet customer demands, it is important to develop application software in service-based algorithms. Service-oriented architecture (SOA) is the solution for software-defined vehicles to enable reliable large data transfer between ECUs and for efficient usage of communication backbone via FOTA (firmware over-the-air).
This talk highlights the following topics:
Sanjay Nimbalkar,
Daimler Truck Innovation Center India
15:45–16:15
The automotive industry is witnessing its next phase of transformation. Vehicles with electric drivetrains and automated features are becoming advanced and sophisticated with continuous over-the-air software updates. For these complex software-defined vehicles, prognostics and predictive maintenance become ever more critical than before. This presentation proposes a machine learning based framework created and deployed through MATLAB®. It utilizes minimally labeled vehicle data and identifies and flags anomalous behavior that went undetected or got introduced with the aging of components. This framework can be adopted for large real-time or time-series data for early identification of failures and can be deployed on the cloud or vehicle edge.
Highlights include:
16:45–17:45
In this session, explore the application development and integration of reference workflows into a continuous integration (CI) and continuous delivery (CD) pipeline, and how to streamline the software development lifecycle with a Model-Based Design approach.
The key takeaways from this master class will be:
MathWorks
Abhisek Roy is a senior application engineer at MathWorks India focusing on plant modeling and control design and automation. He works with automotive customers to address their challenges in the areas of powertrain modeling and vehicle dynamics studies. His areas of interest include the study of various automotive systems and controls systems. Abhisek earned his M.Tech in electrical engineering from the Indian Institute of Technology, Madras, specializing in control systems and robotics, and B.Tech in electrical engineering from Jadavpur University, Kolkata.
MathWorks
Sree Varshini Bhattu Saraswathi is an automotive application engineer at MathWorks and works closely with customers in the areas of electrification, virtual vehicle modeling, and simulation. She has six years of industry experience in vehicle dynamics, multibody dynamics, NVH, and simulation. Prior to joining MathWorks, she worked at Ford Motor Company, specializing in multibody dynamics. Sree holds a bachelor’s degree in mechanical engineering and a master’s degree in motorsport engineering from Oxford Brookes University, UK.
MathWorks
Rahul Choudhary is a senior application engineer at MathWorks India and specializes in the field of system modeling and control design. He has over 10 years of experience in power electronics control, motor control, multidomain modeling, and real-time simulation. Prior to joining MathWorks, Rahul worked with Eaton India Engineering Centre as a control engineer involved in developing prognostics and health monitoring algorithms for proof-of-concept projects using MATLAB and Simulink. He holds a master’s degree in systems and control engineering from Indian Institute of Technology Bombay, Mumbai, and a bachelor’s degree in electronics and instrumentation engineering from Institute of Engineering and Technology, Lucknow, India.
MathWorks
Ananth Kumar Selvaraj is an engineering manager at MathWorks India, specializing in power electronics and motor control. He and his team members are working in Model-Based Design workflows and tools for developing motor control solutions. Ananth brings over 20 years of experience in embedded and control design from industrial and automation domains. Prior to joining MathWorks, he worked for National Instruments, Schneider Electric, and KONE Elevators as an expert in embedded and control engineering for power electronics and motion control. Ananth holds a bachelor’s degree in electrical and electronics engineering and master’s degree in mechatronics engineering.
MathWorks
Rishu Gupta is a principal application engineer at MathWorks India. He primarily focuses on artificial intelligence and automated driving. Rishu has over 10 years of experience working on applications related to visual contents. He previously worked as a scientist at LG Soft India in the research and development unit. He has published and reviewed papers in multiple peer-reviewed conferences and journals. Rishu holds a bachelor’s degree in electronics and communication engineering from BIET Jhansi; a master’s in visual contents from Dongseo University, South Korea, working on the application of computer vision; and a Ph.D. in electrical engineering from University Technology Petronas, Malaysia, with a focus on biomedical image processing for ultrasound images.
LinkedIn Profile
MathWorks
Munish Raj is an application engineer for automated driving at MathWorks. His areas of expertise are in scenes and scenario creation for automated driving, developing and testing perception, planning and control algorithms, and autonomous driving. He has an engineering degree in electronics and communications from VIT University, Vellore.
MathWorks
Shwetha Bhadravathi Patil is a senior product manager at MathWorks focusing on AUTOSAR, DDS, and Simulink code generation products. Before joining MathWorks, she worked as a software developer at Aptiv (formerly known as Delphi Automotive) on AUTOSAR-based projects and at Analog Devices Inc. as a technical marketing engineer for automotive video codecs. Shwetha graduated from Tufts University with an M.S. in engineering management and from Manipal University with an M.S. in automotive embedded systems.
MathWorks
Nukul Sehgal is a senior application engineer at MathWorks, where he leverages over a decade of software engineering experience as a technical strategist and SDV solution expert. He is passionate about supporting customers with cutting-edge solutions in software-defined vehicles, service-oriented architecture, embedded Linux, and high-performance computing. His deep knowledge encompasses cybersecurity, applied AI on embedded edge devices, cloud integration, and DevOps. Nukul previously led software engineering teams at Interface Microsystems, where he spearheaded projects in ECU design, software and firmware development, and functional testing. His expertise includes complete SDLC methodologies and adherence to industry standards like ASPICE and ISO 26262.
MathWorks
Rajat Arora is an automotive industry application engineer at MathWorks with a focus on verification and validation and code generation products. He has accumulated more than a decade of experience working in both the automotive and software industries. Before joining MathWorks, he worked at Magneti Marelli and Robert Bosch, where he led teams of engineers responsible for developing software for engine control, safety, and transmission systems. Rajat holds an M.B.A. from the Indian School of Business, Hyderabad, and a bachelor’s degree in electronics and communication engineering from Maharshi Dayanand University in Delhi/NCR.
LinkedIn Profile
MathWorks
Vijayalayan R heads automotive industry and location field application engineering at MathWorks India. He and his team facilitate the adoption of Model-Based Design, empowering customers to embrace next-generation technologies on their journey towards electrification, AI, and software-defined vehicle projects. Vijayalayan is part of the management committee of the SAE India Bangalore section and has 23 years of industry experience. Prior to joining MathWorks, he worked in embedded systems leadership at Cranes Software International Limited and as a Scientist B at the Gas Turbine Research Establishment. Vijayalayan holds a bachelor's degree from Manonmaniam Sundaranar University and a master's degree in control and instrumentation from IIT Madras.
LinkedIn Profile
Altigreen
Prathamesh Patki is chief engineer of embedded software and controls and has been with Altigreen since 2013. He works on the development of electric powertrains for hybrid retrofit kits and electric 3-wheelers. Prior to Altigreen, Prathamesh worked at L&T Aerospace and John Deere.
Indian Institute of Technology Bombay
Sandeep Anand is an associate professor at IIT Bombay in India. He is also the professor-in-charge of the C’72 EV PowerTrain laboratory at IIT Bombay. Prior to joining the faculty, he worked briefly in industry with Emerson Network Power in Mumbai and Cosmic Circuits Pvt. Ltd. in Bengaluru, India. From 2013 to 2019, he was an assistant professor at IIT Kanpur before becoming an associate professor in 2020. Sandeep received B.Tech. and Ph.D. degrees in electrical engineering from IIT Bombay in 2007 and 2013, respectively. He received the NASI–Young Scientist Platinum Jubilee Award from The National Academy of Sciences, India in 2019 and the INAE Young Engineer Award from the Indian National Academy of Engineering in 2017. His research interests include EV powertrain including EV chargers, reliability of power electronic circuits, wide bandgap devices (GaN, SiC) for power converters and circuits for interfacing alternate sources of energy.
Indian Institute of Technology Bombay
Abhinav Arya is a project research scientist at IIT Bombay, India. His research interests include fault diagnostics, condition monitoring, and reliability improvement of power electronic converters. Prior to working at IITB, he was with Mahindra & Mahindra Ltd. in Chennai, India, from 2015 to 2016. Abhinav received M.Tech. and Ph.D. degrees in electrical and electronics from IIT Kanpur in 2015 and 2023, respectively.
Daimler Truck Innovation Center India
Gangadhar is a principal engineer at Daimler Truck Innovation Center India (DTICI) and works on advanced engineering projects related to autonomous driving for trucks. He has more than a decade of experience in the automotive industry in domains like autonomous driving software and systems engineering, body controls, and powertrain and brakes systems. Gangadhar holds a bachelor’s degree in electronics and communications engineering from the Hirasugar Institute of Technology, Nidasoshi.
Daimler Truck Innovation Center India
Nikhil is a senior technical lead at Daimler Truck Innovation Center India (DTICI) with over 10 years of experience in the automotive domain. He has a strong technical background in system modeling, control design, and software development. He works on advanced engineering projects related to autonomous driving for heavy-duty trucks and light commercial vehicles. Nikhil holds a Bachelor of Technology in mechanical engineering from the National Institute of Technology, Calicut.
APTIV
Ananthesh Seth is an engineering team manager in Simulation and Systems at APTIV and focuses on providing virtual simulation solutions to the OEMs. He has been with APTIV for 12 years with profound knowledge of various generations of radar systems. His interests include signal processing, simulation, and AI. Ananthesh received his Bachelor of Engineering degree from B.M.S. College of Engineering, Bangalore, and is pursuing an M.Sc. in computer science (AI).
MathWorks
Naga Pemmaraju is a product manager in autonomous systems at MathWorks. His focus areas include ASAM standards and interoperability, building scenes and scenarios from HD and SD Maps, and recorded sensor data for automated driving applications. He has been with MathWorks over 8 years helping customers adopt a Model-Based Design approach, and has over 16 years of industry experience working on product development, product marketing, and technical sales. Prior to joining MathWorks, he worked as controls engineer at Vestas Wind Systems, Northern Power Systems, and Caterpillar Inc. Naga holds a bachelor’s degree in electronics and control engineering from JNTU, Hyderabad, and a master’s degree in electrical engineering from Texas A&M University-Kingsville.
Bosch Global Software Technologies
Deva Hanuma Kishore Naidu Avisineni is a specialist in XIL (hardware-in-the-loop) and virtualization solutions at Bosch Global Software Technologies in Hyderabad. He has five years of experience in this field, and is an integral part of the Software and Digital Solutions (SDS) Group, an independent unit of Bosch Global Software Technologies (BGSW). This group is dedicated to delivering cutting-edge software and digital solutions to customers worldwide. As a member of SDS, Deva's primary responsibility is to assist in developing innovative solutions for global clients.
FEV India
Akshay Bujone is practice lead for the Adaptive AUTOSAR - SDV technology group within Intelligent Mobility & Software at FEV India. He has 16 years of experience developing and leading automotive software programs for various ePowertrain and ADAS ECUs. He has worked in various Tier-1 and Tier-2 suppliers in Germany and India in various capacities.
Akshay holds a B.E. in electronics and telecommunication from University of Pune and an M.S. in microsystems engineering from Furtwangen University in Germany.
TCS
Reena Parekh heads the vehicle health center of excellence at Tata Consultancy Services Limited. With over 21 years of overall experience and 14 years in automotive diagnostics, she leads the development of vehicle health solutions with prognostic and predictive capabilities aimed at increasing the health-management levels of software-defined vehicles.
TCS
Aditya Jain is a data science consultant for the vehicle health center of excellence. Aditya has over 16 years of experience in analytics and business intelligence and 6 years in automotive, and he leads transformative solutions in vehicle health analytics and predictive AI with his team of automotive and data science engineers. These initiatives are intended to address critical business problems of automotive companies and drive customer experiences through innovative AI solutions.
MathWorks
Koustubh Shirke is a senior application engineer at MathWorks working in the area of artificial intelligence. He focuses on verticals like predictive modeling, reduced order modeling, IoT-based analytics, and cloud deployment. Koustubh has around eight years of industry experience with a strong background in the automotive industry. Prior to joining MathWorks, he worked extensively on AI-based projects in powertrain applications.
MathWorks
Prasanna Deshpande is manager of the automotive industry application engineering team with MathWorks India and specializes in the fields of automotive electrification, model-based control design, and automation. He and his team members closely work with automotive OEMs, suppliers, startups, and services in adopting Model-Based Design for system simulation, embedded code generation, and real-time testing. Prasanna has more than 16 years of experience with various clients from the automotive industry. Prior to joining MathWorks, he was a technical leader in the automotive group of KPIT Technologies Ltd., where he gained expertise in rapid control prototyping and hardware-in-the-loop simulation technologies for various automotive customers. He also worked as an assistant manager at Mahindra & Mahindra Ltd. Prasanna holds a bachelor’s degree in electronics and a master’s degree in instrumentation from the University of Pune.
MathWorks
Ramamurthy Mani is the engineering director responsible for enhancing the core language of Simulink with a special focus on system and software architectures and large-scale simulations. Mani started at MathWorks in 1998 in software development and has made several contributions to the modeling capabilities in Simulink, System Composer, and SimEvents. More recently, he and his team have been focusing on workflows for model-based systems engineering, modeling distributed software architectures, and multi-agent system-of-system simulations. Mani holds a Ph.D. in electrical engineering from Boston University.
MathWorks
Prashant Rao heads the Application Engineering team at MathWorks India. He and his team focus on helping customers across industry verticals and application domains to accelerate and reduce risk in their development processes through the usage of MATLAB and Simulink products. He has a wide exposure with customers ranging from large enterprises to startups spanning commercial, government, and educational organizations. Prashant is a regular contributor at industry forums, sharing his views around megatrends in technology and especially how artificial intelligence (AI) is enabling engineers and scientists to build smarter systems.
LinkedIn Profile
Daimler Truck Innovation Center India
Sanjay Nimbalkar is a principal engineer at Daimler Truck Innovation Center India (DTICI) and is working on software-defined vehicle projects. He has more than a decade of experience in the automotive industry in base software and application software development on body and chassis, powertrain, and brake and gesture domains. Sanjay holds a bachelor’s degree in telecommunication engineering from CMR Institute of Technology, Bangalore, affiliated with Visvesvaraya Technological University.
TCS
Sanjeev Madhav is the global head of Intelligent Products, Automotive at TCS and has more than 29 years of industry experience. Sanjeev manages customer relationships and delivery for global automotive manufacturers and auto component makers across Japan, North America, Europe, and Asia. He is also responsible for strategic planning and business development and is instrumental in identifying and developing futuristic solution accelerators in autonomous driving, electrification, connected and vehicle architecture.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
Europe
Asia Pacific