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Automation for Electric Vehicles

Name: Automation for Electric Vehicles
Rating: 4.7 (7 reviews)

Master the fundamentals of EV automation, autonomous driving, and smart mobility

Created byTanzeel Ur Rehman .

Last updated 9/2025

English

What you'll learn

Understand the role of automation
Explain key automation technologies
Analyze integration challenges
Explore sensors and control systems
Evaluate levels of driving automation
Examine case studies
Identify ethical, legal, and safety considerations
Assess the future trends

Course content

8 sections • 39 lectures • 2h 8m total length

Lecture 1.1 What is EV Automation – Basics of Automation in Electric Vehicles2:15
Explore how automation transforms electric vehicles by enabling autonomous driving, smart charging, and automatic braking. See how these features boost safety, convenience, and energy efficiency for future-ready EVs.
Lecture 1.2 How EVs Differ from Traditional Cars – Core Differences and Automat3:11
Lecture 1.3 Levels of Automation in Vehicles – From Driver Assistance to Full A4:02
Explore the five levels of vehicle automation from driver assistance to full autonomy, with examples like adaptive cruise control, lane keeping, autopilot, and self-driving taxis.
Lecture 1.4 Key Components in EV Automation – Sensors, Controllers, and Softwar2:52
Lecture 1.5 The Future of EV Automation – Trends and Industry Advancements3:08
Explore the future of ev automation by examining self-driving progress, wireless and ultra-fast charging, v2g, ai-driven safety and navigation, and sustainable, solar-powered, solid-state battery innovations.

Lecture 2.1 Introduction to Vehicle Sensors – Types and Their Roles3:20
Lecture 2.2 How Cameras and LiDAR Work in EVs – Object Detection and Navigation4:13
Explore how cameras enable object detection and lane tracking, while LiDAR creates 3D maps for navigation in electric vehicles. See why combining cameras and LiDAR improves safety.
Lecture 2.3 Radar and Ultrasonic Sensors – Understanding Proximity and Distance4:09
Explore how radar and ultrasonic sensors measure proximity and distance in electric vehicles, with radar for long-range object detection and collision avoidance, and ultrasonic for parking and low-speed detection.
Lecture 2.4 Data Collection and Processing – How EVs Use Real-Time Data2:55
Lecture 2.5 Common Sensor Issues and Solutions – Troubleshooting Sensor Problem3:04

Lecture 3.1 Introduction to EV Control Systems – How Automation is Controlled3:09
Learn how the electric vehicle control system, with multiple ECUs, collects sensor data, processes it, and executes actions like braking, accelerating, and steering to enable automation and adaptive cruise control.
Lecture 3.2 The Role of ECUs (Electronic Control Units) – Brain of the EV3:03
Discover how electronic control units, the brain of the EV, coordinate battery, motor, and autonomous driving systems to enable automation, safety, and efficiency.
Lecture 3.3 Understanding Battery Management Systems (BMS) – Monitoring and Aut3:01
Explore how the battery management system (BMS) monitors voltage, current, and temperature, processes data, and automates charging, discharging, and cooling to safeguard EVs and extend battery life.
Lecture 3.4 Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) Commu3:16
Explore vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communication in modern EVs. Real-time data exchange enables collision avoidance, traffic optimization, and safer autonomous driving.
Lecture 3.5 How Software Controls EV Automation – AI, Machine Learning, and Alg3:35

Lecture 4.1 What is ADAS – Features like Cruise Control, Lane Assist, and Auto3:14
Discover how advanced driver assistance systems use sensors, cameras, and artificial intelligence to boost safety and efficiency in electric vehicles with cruise control, lane keep assist, and automatic emergency braking.
Lecture 4.2 Introduction to Autonomous Driving Levels (L1 to L5) – Understandin3:00
Explore the five levels of vehicle automation from L1 to L5 defined by SAE, with examples like ACC and Tesla Autopilot, and how EVs move toward full automation.
Lecture 4.3 How AI Helps in Self-Driving EVs – Basics of AI and machine learnin2:47
See how artificial intelligence enables self-driving EVs to see, think, and act in real time using sensors, LiDAR, cameras, and radar, with machine learning improving safety.
Lecture 4.4 Common Challenges in Autonomous Driving – Safety, regulations, and3:47
Explore safety concerns in autonomous driving, including unpredictable human behavior, bad weather, and cybersecurity risks, while examining regulations and ai decision making, sensor reliability, and data processing speed.
Lecture 4.5 Future of Self-Driving EVs – Trends and upcoming innovations3:01

Lecture 5.1 Introduction to Smart Charging Systems – How automation makes EV ch2:55
Lecture 5.2 Wireless & Automated Charging – Inductive charging and robotic char3:29
Explore wireless inductive charging and robotic charging stations for hands-free electric vehicle charging. See how robotic arms plug in via magnetic fields, weighing convenience against slower charging and costs.
Lecture 5.3 Battery Monitoring & Optimization – How automation helps extend bat3:57
Automation for electric vehicles shows how smart battery monitoring and management extend EV battery life, using BMS, AI analytics, and smart charging to prevent overcharging, overheating, and deep discharge.
Lecture 5.4 Energy Management in EVs – Smart grids, solar charging, and energy3:48
Lecture 5.5 Future of EV Charging Technology – Innovations in fast charging and3:23

Lecture 6.1 What is IoT in EVs – Introduction to connected car technology2:28
Explore what IoT means for electric vehicles and how connected car technology enables sensors to send data to the cloud, powering remote control, predictive maintenance, and real-time navigation.
Lecture 6.2 Telematics & Remote Monitoring – GPS tracking, performance monitori3:15
Explore telematics and remote monitoring for electric vehicles, learn how GPS tracking and real-time data improve safety, performance, route optimization, and charging efficiency.
Lecture 6.3 Over-the-Air (OTA) Updates – How EVs get software upgrades automati3:09
Lecture 6.4 Cybersecurity in Connected EVs – Protecting automated systems from3:10
Explore why connected electric vehicles require cybersecurity, how hackers attack EV systems, and how encryption, secure OTA updates, firewalls, and secure charging protect automated systems.
Lecture 6.5 The Role of Cloud Computing in EV Automation – Data storage and pro3:29
Leverage cloud computing for real-time data storage and processing in EVs to boost automation, AI insights, and remote monitoring.

Lecture 7.1 Introduction to Automated Manufacturing in EVs – Robotics in EV pro3:41
Lecture 7.2 Smart Factories & Industry 4.0 – How AI and automation help build E3:30
Lecture 7.3 Predictive Maintenance in EVs – Using data to prevent breakdowns3:27
Lecture 7.4 Digital Twins & Simulations – How EV automation is tested virtually3:13
Digital twins model electric vehicles in real time to test automation through simulations, enabling faster, safer, and cheaper virtual testing of features and self-driving capabilities.
Lecture 7.5 How Automation Reduces Manufacturing Costs – Efficiency and sustain3:20
Boost production efficiency and cut costs in EV manufacturing through AI-driven automation and digital twins. Improve sustainability by reducing waste and energy use with smart factories and recycling efforts.

Lecture 8.1 Tesla’s Automation in EVs – How Tesla leads in automation3:17
Explore how Tesla leads in EV automation with Autopilot and self-driving, over-the-air updates, and AI-powered battery management. Examine robotics and AI in Tesla's smart factories and future robotaxi plans.
Lecture 8.2 Waymo & Autonomous Ride-Sharing – Self-driving taxis and the future3:14
Explore Waymo's autonomous ride sharing and driverless taxis, detailing how AI, LiDAR, cameras, radar, GPS, and machine learning power safe navigation and the future of robotaxi mobility.
Lecture 8.4 AI & Machine Learning in EVs – Real-world applications and improvem2:58
Lecture 8.5 Final Summary & Next Steps – Course wrap-up and career opportunitie3:52
Explore how EV automation, AI, and smart technologies shape electric vehicles, covering sensors, smart charging, cybersecurity, and career opportunities across software, hardware, and AI roles.

Requirements

Basic knowledge of electric vehicles
Fundamentals of electronics and electrical engineering
Basic programming skills (Python, MATLAB, or C/C++) are an advantage for understanding automation algorithms.
Familiarity with sensors and control systems (optional)
Interest in autonomous driving, AI, and smart mobility technologies.
PC/Laptop with internet access

Description

The future of mobility lies at the intersection of electrification and automation. This course is designed to give you a strong foundation in how automation technologies are transforming electric vehicles (EVs) into smart, safe, and autonomous machines.

You will start with the basics of EV systems and progress into advanced topics like driver-assistance systems (ADAS), autonomous driving levels (SAE 0–5), sensors & perception (LiDAR, radar, cameras), vehicle-to-everything (V2X) communication, and AI-based control algorithms. Along the way, you’ll explore battery management integration, real-world case studies, and industry trends shaping the next generation of mobility.

By the end of this course, you’ll have a clear understanding of the key automation technologies in EVs, how they work together, and what challenges and opportunities they create for engineers, researchers, and businesses.

Whether you are a student, engineer, researcher, or EV enthusiast, this course will equip you with the knowledge to confidently engage with the rapidly growing field of automated electric vehicles.

Practical takeaways:

Learn how EV automation works step by step.

Understand real-world applications and challenges.

Get insights into the future of autonomous EVs.

Who this course is for

Engineering students (electrical, electronics, mechanical, automotive, or mechatronics) who want to build skills in EV automation.

Professionals in the automotive or EV industry looking to upskill in autonomous driving and smart mobility technologies.

Researchers and academics interested in exploring automation integration with electric vehicle systems.

EV enthusiasts and hobbyists curious about how self-driving and automation technologies work in electric cars.

Entrepreneurs and startups aiming to understand automation opportunities in the EV market.

Anyone passionate about the future of sustainable and intelligent transportation.

Who this course is for:

Engineering students
Professionals in the automotive or EV industry
Researchers and academics
EV enthusiasts and hobbyists
Entrepreneurs and startups

Automation for Electric Vehicles

What you'll learn

Explore related topics

Course content

Section 1 Introduction to EV Automation5 lectures • 15min

Section 2 Sensors & Data Collection in EVs5 lectures • 18min

Section 3 Electric Vehicle Control Systems5 lectures • 16min

Section 4 Autonomous Driving & ADAS (Advanced Driver Assistance Systems)5 lectures • 16min

Section 5 Automation in Charging and Energy Management5 lectures • 18min

Section 6 Internet of Things (IoT) & Connectivity in EVs5 lectures • 16min

Section 7 Automation in EV Manufacturing & Maintenance5 lectures • 17min

Section 8 Case Studies Real World Applications4 lectures • 13min

Requirements

Description

Who this course is for: