Design of Electric vehicle model with a Dynamo Drive Setup using Model-Based Development (MDB) G Vykunta Rao Dr. Madhuri Bayya Dr. Aruna Bharathi Dr. G. Sree Lakshmi WILP.Core Engineering, EEE. WILP, BITS Pilani EEE Department EEE Department BITS Pilani Deemed University BITS Pilani Deemed University Geethanjali College of Engineering CVR College of Enggineering Rajasthan, India. Rajasthan, India Hyderabad India Hyderabad, India vykunta.rao@wilp.bits-pilani.ac.in madhuri.bayya@wilp.bits-pilani.ac.in arunabharathi916@gmail.com g.sreelakshmi@cvr.ac.in Abstract— The increase in software content in today’s electric vehicle increases attention for having vast unique topographies from low emission to high efficiency, whereas the chemical batteries have huge short comes such as limited cycle life, power density, and cost. As for understanding and visualization, the companies are turning toward the virtual vehicle to test their design in software which is known as a simulation in the loop (SIL). In this project, in addition to the electric vehicle (EV) technology, we are adding a dynamo with the vehicle for regenerative braking. Traditionally the principle of dynamos is used in lighting the purpose of the bicycle. Here by using the same mechanism we are running the vehicle as well as charging the vehicle from system-level simulation to the model in the loop and then to the Hardware in Loop (HIL) by using model-based development. Keywords— Electric Vehicle, Simulation in the loop (SIL), Model in Loop (MIL), Hardware in Loop (HIL), Dynamos, Model- Based Development (MBD), Permanent Magnet Synchronous Motor (PMSM), Current Control (CC), Field Oriented Control (FOC), Regenerative Braking. INTRODUCTION On the one side of the coin the rapid increase in the automobile market of India, the EVs are making a promising channel towards improving all aspects of the development, as well as on the other side adopting MBD can be a game-changer for the development of the vehicle design and testing. As an added feature the governments of all nations together and individually recognizes the urgency to look at sustainable mobility solutions to reduce the dependency on imported energy sources, and mitigate adverse impacts of transportation including global warming, Whereas the major alternative source for decreasing the carbon gas emission is mostly and importantly EVs [1]. In recent studies, some authors considered a current practice for the estimation of existing policies, which are established in advances for changing the scenario and are exogenous. The execution of the full potential of EV, flexible load, and smart charging is exploited [2-7]. This paper will predominately deal with the adoption of MBD for EVs design, as with the MBD, engineers can develop the closed-loop vehicle model with all power train components which serves as a basis for all design and development activities through the desktop simulation of the designs functional aspects, formal verification and validation to industry standards, and automatic code generation for real-time simulation and hardware implementation. On the other hand, the principles of speed controls, batteries, battery charging, State of Charge (SOC), State of Health (SOH), machine coupling, and regenerative braking are discussed. As well as the components and concepts of speed control under current controller (CC) for shaft speed, Field Oriented Control (FOC) as torque control for load, vehicle wheels, and brakes concepts are presented. Information will be basics for the design of vehicles using MBD and non-linear block operation will be presented. A. Verifying the functional aspects of the designed vehicle using desktop simulation. All the functional aspects of the vehicle as CC, FOC, SOC, SOH, Regenerative braking, the necessity of machine coupling, power calculations, car wheel, transformation techniques, etc… can be enabled using the desktop simulation. Using the nonlinear behavior models for various battery properties like battery per string, no. of batteries in series, parallel, capacity, and others can be simulated on the desktop. For instance, we can explore the complete battery bank with various combinations for cell balancing configuration and the perfect battery stack configuration and algorithm to evaluate the suitability of each stack for a given application. We can use the desktop simulation for exploring different combinations of new design ideas to test multiple system architectures. B. Real-time simulation for rapid prototyping If the user is satisfied with the validated results, the same block models are utilized to generate the bug-free C code which the user can see and understand how the block is converted into a C code that is going to deploy on the controller for rapid prototyping or hardware in loop (HIL) testing for the further validation of the diagram algorithm in the real-time. Instead of spending a lot of time understanding the architecture of each microcontroller with (RP), we can easily generate the code for any microcontroller that performs the functions of the production microcontroller. Rather than a day within short hours of the time, we can test our real-time system by using auto code-gen. MBD can enable the engineers to design and gain insights into the dynamic behavior of vehicle power train components, which explores more software architectures, tests the maximum limit of operational cases, and begin the hardware testing earlier with fewer design errors. 124 2023 International Conference on Advanced & Global Engineering Challenges (AGEC) 979-8-3503-4096-9/23/$31.00 ©2023 IEEE DOI 10.1109/AGEC57922.2023.00035 2023 International Conference on Advanced & Global Engineering Challenges (AGEC) | 979-8-3503-4096-9/23/$31.00 ©2023 IEEE | DOI: 10.1109/AGEC57922.2023.00035 Authorized licensed use limited to: Andhra University College of Engineering. Downloaded on November 29,2023 at 07:10:32 UTC from IEEE Xplore. Restrictions apply.