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Pranav Gholap

Pranav Gholap

Mechanical Engineering Graduate | Aspiring Embedded Systems Engineer | C | Embedded C | STM32 | Pursuing PG in Electric Vehicle & Embedded Systems

Thane · experienced professional

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Industry ProfessionalBattery TechCharging InfrastructurePowertrain

About

Entry-level Embedded and EV Engineer with hands-on exposure to Embedded C programming and STM32-based systems. Strong foundation in EV subsystems, battery management, power electronics, and simulation-driven design.

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Experience

  • Intern – Service Operations
    Royal Enfield
    Jan 2020Jan 2020 · Nerul

    This 15-day internship at a Royal Enfield workshop involved gaining hands-on experience with motorcycle maintenance & service operations. The program focused on understanding workshop workflows, vehicle diagnostics, and the technical servicing requirements of Royal Enfield motorcycles.

Education

  • DIYguru Mobility Pvt. Ltd.
    PG Certification · Electric Vehicle & Embedded Systems
    20242025
  • DIYguru Mobility Pvt. Ltd.
    Nanodegree Certification · Electric Vehicle & Embedded Systems
    20242025
  • AP Shah Institute of Technology
    BE · Mechanical Engineering
    20172022

Skills

  • Embedded C

  • Battery Technology

  • BMS

  • Motor Drives

  • EV Powertrain

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  • Power Electronics

  • MATLAB/Simulink

Projects

  • Regulated Power Supply using Proteus

    This project involves the design, simulation, and analysis of a regulated DC power supply using Proteus software to convert a 230V AC input into a stable +5V DC output. It utilises key power electronics components, including a transformer, bridge rectifier, RC filter, and Zener diode, to achieve voltage regulation and reduce ripple. The work demonstrates the critical role of component selection and optimisation in creating reliable power supplies for applications like electric vehicles.

  • MATLAB Scripting

    This project explores the fundamentals of MATLAB scripting through various practical applications, including statistical data analysis of temperature datasets and dice roll simulations. It utilizes core programming concepts such as conditional logic, loops, and random number generation to solve mathematical and probabilistic problems. These scripts serve as a foundation for more complex modeling and control system development in electric vehicle design.

  • Energy conservation opportunities in pharmaceutical plant and production equipment

    This project identifies energy conservation opportunities within pharmaceutical manufacturing by evaluating the efficiency of belt-driven assemblies in production equipment. By comparing V-belts with synchronous belts, the study demonstrates that switching to synchronized drives can significantly reduce energy losses and annual operational costs.

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  • Deflection and Strain on Simply Supported Beam

    This project explores the mechanics of a simply supported wooden beam under a Uniformly Distributed Load (UDL) to measure the resulting deflection and strain. It utilises an integrated system of strain gauges and an Arduino microcontroller to convert analog deformation data into digital values for real-time display on an LCD. The model serves as a practical application of structural analysis, illustrating how wooden structures respond to load limits and bending forces.

  • Design and Optimization of an Electric Powertrain for Urban Commuter Vehicles with Integrated Thermal Management and Advanced Charging Solut

    This project focuses on the design and optimization of an integrated electric powertrain for urban commuter vehicles, ensuring an efficient balance between range, cost, and performance. It incorporates advanced thermal management for critical components and explores innovative charging solutions, such as fast charging and Vehicle-to-Grid (V2G) integration, to enhance user convenience.

  • Comparative Modelling and Simulation of Electric Vehicles (EV) using MATLAB-SIMULINK, QSS and ADVISOR Toolboxes

    This study performs a comparative modelling and simulation of an electric vehicle (Ather Rizta) using three distinct toolboxes: SIMULINK, QSS, and ADVISOR. It evaluates each tool's accuracy, speed, and usability in analysing key components such as batteries, motors, and powertrains. The goal is to provide engineers with insights for selecting the optimal tool for specific EV design and optimisation tasks.

  • Design & Simulation of Regenerative Braking System for Electric Vehicles

    Explores the design and simulation of a Regenerative Braking System (RBS) for electric vehicles to capture and store energy typically lost as heat during braking.

  • Enhanced EV Charging Station Management System

    Designed logic for monitoring charging availability and basic load regulation. Simulated system behavior and power stages using Proteus.

Certifications

  • EV Essentials – Industry Ecosystem & Battery Technology
  • EV Essentials – Motors, Electrification & Charging Systems
  • Battery & Battery Management Systems (BMS)
  • EV Engineering Mastercourse Part 1: EV Fundamentals & Core Components
  • Electronics & Circuit Design for EV Applications
  • Embedded Systems Certification (Embedded C, 8051, Arduino)
  • Advanced EV Engineering & Numerical Analysis
  • MATLAB-SIMULINK, QSS & ADVISOR Toolbox for EV Design
  • Electric 2-Wheeler (E-Scooter/ E-Bike) Diagnosis & Service Certification

Languages

EnglishMarathiHindiGerman (A1)