Intelligent Systems For Electric Vehicles
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 53m | Size: 3.85 GB
What you'll learn
Understand the fundamentals of electric vehicles (EVs)
Explain the role and design of intelligent systems in EVs
Learn key sensor technologies and data sources
Apply machine learning and AI techniques
Develop smart energy and battery management strategies
Integrate autonomous and advanced driver assistance functionality
Implement data analytics and predictive maintenance
Understand smart charging networks and grid integration
Explore ethical, safety, and future-trend considerations
Requirements
Basic Knowledge of Electric Vehicles
Fundamentals of Electronics / Electrical Engineering
Basic Programming Skills
Understanding of Sensors & Control Systems (Optional but Helpful)
Math & Physics Foundation
Computer with Internet Access
Description
The "Intelligent Systems for Electric Vehicles" course offers a comprehensive exploration of the technologies and methodologies that make modern electric vehicles (EVs smarter, safer, and more efficient. It is designed to provide learners with a thorough understanding of how intelligence is embedded within EVs, enabling them to optimize performance, energy usage, safety, and overall vehicle functionality. As electric vehicles continue to revolutionize the transportation industry, the integration of intelligent systems-ranging from advanced sensors to artificial intelligence algorithms-is becoming increasingly critical. This course bridges the gap between traditional EV knowledge and cutting-edge automation and intelligence technologies, preparing learners for roles in the rapidly evolving EV ecosystem.The course begins with a detailed overview of electric vehicle architecture, covering the fundamental components such as electric motors, batteries, power electronics, and control units. Learners will understand how each subsystem interacts with the intelligent modules that manage vehicle behavior, energy efficiency, and safety. The foundation laid in these early modules ensures that learners grasp the essential building blocks of EV systems before moving into more complex intelligent system concepts.A significant portion of the course is devoted to sensor technologies and data acquisition systems. Learners explore the different types of sensors used in EVs, including LiDAR, radar, ultrasonic sensors, cameras, and battery monitoring units. The course explains how data from these sensors is collected, processed, and used by intelligent control systems to monitor the vehicle environment, detect obstacles, optimize energy consumption, and enhance passenger safety. Practical examples illustrate real-world applications such as predictive maintenance, battery health management, and adaptive driving assistance systems.The course also delves into the role of artificial intelligence and machine learning in electric vehicles. Learners will explore how AI models are used for predictive analytics, route optimization, energy management, fault detection, and autonomous decision-making. Topics include supervised and unsupervised learning, reinforcement learning, and their integration into real-time vehicle control systems. The course emphasizes practical applications, helping learners understand how AI algorithms can improve the efficiency, reliability, and intelligence of EV operations.Battery management and energy optimization are critical areas covered in this course. Students learn how intelligent systems monitor and manage the state of charge, state of health, and energy distribution in EVs. The course explores algorithms that optimize battery usage, extend battery life, and ensure safety under various driving conditions. Learners also gain insights into smart charging strategies, vehicle-to-grid integration, and the interaction between intelligent systems
Who this course is for
Engineering Students
Computer Science & IT Learners
EV Industry Professionals
EV Technicians & System Integrators
Researchers & Innovators
EV Enthusiasts & Beginners
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