EMBEDDED EV

Accelerate your career in the electrifying domain of Embedded Systems and Electric Vehicles (EV) with our specialized internship program! Dive deep into motor control systems, battery management, and embedded hardware integration for EVs. Learn to design and program real-time embedded solutions for next-generation mobility, collaborate with domain experts, and work on smart EV projects. Whether you're aspiring to become an automotive embedded developer or an EV systems engineer, this internship will empower you to shape the future of green mobility!

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Apply for Internship

Contact us and Submit your application and get started by providing the necessary documents.

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Review & Selection

Our team will review your application and shortlist candidates based on skills and eligibility.

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Training Sessions

Attend hands-on training sessions in AI, Machine Learning, and Data Science to gain practical knowledge.

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Live Projects

Work on real-world projects that solve critical industry problems, experiment with the code and sharpen your skills.

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Completion & Certification

Receive your certification, showcasing your proficiency in AI and Data Science to potential employers.

COURSE OUTCOMESΒ 

Embedded EV Course Outcomes
Master automotive embedded systems architecture and real-time control systems for electric vehicle applications.
Design and implement battery management systems (BMS) with cell balancing and thermal management algorithms.
Develop motor control units (MCU) for electric motors including BLDC, PMSM, and induction motor control.
Implement CAN bus communication protocols and automotive networking standards like J1939 and UDS.
Create charging system controllers for AC/DC charging infrastructure and wireless power transfer systems.
Build vehicle-to-everything (V2X) communication systems and autonomous driving sensor integration platforms.
Apply functional safety standards (ISO 26262) and develop fail-safe mechanisms for critical EV systems.
Optimize energy management algorithms and implement regenerative braking systems for enhanced efficiency.
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PREREQUISITE

  • Basic Programming Knowledge: Familiarity with programming languages like C or Python.
  • Understanding of Electronics: Basic knowledge of electronic components and circuits.
  • Familiarity with Microcontrollers: Basic understanding of microcontroller architecture and usage.
  • Networking Basics: Basic understanding of networking concepts, including IP addresses and protocols.
  • Willingness to Learn: A strong desire to learn about IoT technologies and applications.

PREREQUISITE

  • Basic Programming Knowledge: Familiarity with programming languages like C or Python.
  • Understanding of Electronics: Basic knowledge of electronic components and circuits.
  • Familiarity with Microcontrollers: Basic understanding of microcontroller architecture and usage.
  • Networking Basics: Basic understanding of networking concepts, including IP addresses and protocols.
  • Willingness to Learn: A strong desire to learn about IoT technologies and applications.

Program Modules

"Foundations of Embedded Systems and EV Architecture"
01

Introduction to Electric Vehicles

Basics of EV systems, key components, types of EVs, and EV trends

02

Embedded Systems Overview

Microcontrollers, real-time systems, sensors, and embedded design flow

03

Battery Management Systems (BMS)

Battery types, charging principles, SoC/SoH estimation, BMS architecture

04

Power Electronics in EV

Inverters, converters, motor controllers, and gate driver circuits

"Intelligence, Integration, and Control"
05

Electric Motors & Controllers

BLDC, PMSM, Induction motors, motor control using embedded systems

06

CAN Protocol & Vehicle Communication

Introduction to CAN, LIN protocols and communication in EV subsystems

07

Embedded C for EV Applications

Programming ECUs and microcontrollers for real-time control logic

08

RTOS for Automotive Systems

Task scheduling, priority, inter-task communication, FreeRTOS concepts

"Application, Testing, and Career Skills"
09

Functional Safety (ISO 26262)

Automotive safety lifecycle, ASIL levels, fault handling & diagnostics

10

Embedded Testing in EV

HIL testing, simulation tools, debugging techniques and test automation

11

Capstone Project

Design and implement an embedded EV application with real-time monitoring

12

Career Development

Industry insights, resume building, project portfolio, and interview skills

Career Opportunities

Career Opportunities in Machine Learning

Accelerate Your Future with EV Innovation :

  • EV Embedded Systems Engineer
  • Automotive Firmware Developer
  • CAN Protocol Engineer
  • Battery Management System (BMS) Engineer
  • Electric Vehicle Control Systems Engineer
  • Power Electronics Engineer
  • Motor Controller Developer
  • Embedded Software Tester (Automotive)

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Top Companies Offering Jobs in EMBEDDED IOT

Our interns have been placed in leading tech companies across various sectors including software development, automotive, medical devices, and industrial automation.
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