Sonu Mishra

• Building NextGen Battery Energy Storage System (BESS) with State of the Art BMS. • Leading the engineering and R&D teams in designing state-of-the-art battery management systems that improve efficiency, safety, and cost-effectiveness. • Collaborating with industry leaders and partners to ensure seamless integration with emerging energy technologies, including AI-driven energy management and IoT connectivity.

1.Responsibilities include analysis of System Requirements, maintaining Requirements on DOORS, Development of Autosar Based Bootloader for the clients. 2.Handling the startup code for the microntrollers for the NXP(MPC 5xxx) and Renesas Controllers(Renesas RL78, RH850). 3.Configuration of the OS tasks and scheduling them via RTE or schedule tables and handling of different ASIL and QM application with the concept of Freedom from Interference. 4.Handling of the Linker file for different memory sections with respect to different components like Bootloader, Application, Self test(Functional Safety). 5.Handling of the memory stack via NVM blocks and also the autosar components like MEMIF, FLS, FEE along with it to store data in the respective NVM blocks depending on the requirement of application and bootloader. 6.Configuration of the CAN stack via the EB tressos of different Autosar Layers and also have knowledge on Da Vinci and Geny Tool. 7.Handling of the Lauterbach Scripts for the integration testing for components of the Startup and MCAL

1.Designed and developed test tools in LABVIEW for EE Tester and 4TS testbenches 2.Handling functional safety (self test) components for the failsafe mechanism with different montioing like task monitoring , stack montoring, exception handlings, clock montoring, voltage and temperature monitoring 3.Performed testing on hardware such as Functional Test, Parameter Test, Reliability etc. 4.Configuration of the MCAL components via the EB tressos such as Port, Dio, GPT, ADC, SPI etc 5.Handling the startup code for the microntrollers for the NXP(MPC 5xxx) and Renesas Controllers 6.Handling of the Capl Scripts for the basic testing with respect to Bootloader via different Panels

Topic: Design and Development of Digital Twin to predict second life of the Battery 1.Physical modeling of Li-Ion Battery in MATLAB/Simulink with resistive load. 2.Implementation of algorithm like CC and EKF/UKF on FoxBMS to predict the parameters of the battery such as SOC, SOH, pressure, temperature etc. 3.Writing startup code for NXP controllers and configuring the memory stack like NVM, FLS, FEE, MEMIF for FoxBMS 4.Setup the CAN communication between Primary CMU and secondary CMU with main MCU. 5.Setup of LA-3505 debugger connected to a LA-3580 trace probe with the LA-7992 parallel preprocessor for ARM/Cortex architectures. 6.Implemented a 5-layer architecture of Digital twin predicted the second life of the Li-Ion batteries on the real hardware Elegoo Robot.

1.Development of Control Algorithms for Pick n Place Robot using ROS 2.Update the ROS-CAN drivers and fix the bugs raised by ROS Community 3.Implementation of SLAM Algorithm using ROS 4.Implementation of Navigation and Path Planning 5.State machine Based Programming Tools Used: RVIZ & Gazebo, MATLAB, Git Knowledge: Core knowledge of Robot Hardware, Deep knowledge of ROS, Statemachine, MATLAB.

1.Development of Bootloader with Security Based Algorithm incorporated with it for different Vehicle Security 2.Malicious traffic generation on automotive network for IOT application Testing. Hadware Security Module(HSM) for automotive Security for vehicle security (could be helpful in IOT) 3.Analyzing, Interpretation of different microcontroller and writing different driver level software for controllers. 4.GUI development through CAPL panel designer for visual interaction between ECU'S and Tester 5.Collaborates with the software system team to diagnose, root cause and implement corrective action for vehicle quality. 6.QAC checks to ensure that the software code follows MISRA Standard.

• 2D Map building in an Environment using Laser Range Finder (SICK LMS 100) • Skid Steering Mobile Robot Modelling and Control using LQR(Linear Quadratic Regulator). • Matlab Simulation of Inverted Pendulum using Simulink. Knowledge: Control System, MATLAB, C/C++ Hardware Used: SSMR , UDOO Board, Beagle Board