Artificial Intelligence For Electric Vehicles

Published 1/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

What you’ll learn

Identify key areas where AI is utilized in electric vehicles, such as energy optimization, autonomous driving, and predictive maintenance.

Analyze the role of AI in improving battery performance, lifespan, and safety.

Understand the AI algorithms behind autonomous driving systems, including object detection and decision-making.

Utilize AI techniques to optimize energy consumption and plan efficient routes for electric vehicles.

Implement AI models to monitor vehicle health and predict potential issues before they occur.

Design and implement simple AI-based solutions for electric vehicle-related problems.

Assess the ethical and societal challenges of implementing AI in electric vehicles.

Analyze emerging trends in AI applications for electric vehicles.

Requirements

Basic Understanding of Mathematic

Programming Knowledge

Foundational Knowledge of AI and Machine Learning

Knowledge of Electric Vehicles

Access to a Computer with Internet

Curiosity and Willingness to Learn

Familiarity with concepts of electrical engineering or automotive systems.

Prior experience with data analysis or data science tools.

Knowledge of control systems or robotics for understanding autonomous driving concepts.

Description

Overview

Section 1: Section 1 Introduction to AI and Electric Vehicles

Lecture 2 Lecture 1.2 Introduction to Electric Vehicles (EVs)

Lecture 3 Lecture 1.3 How AI is Changing the Automotive Industry

Lecture 4 Lecture 1.4 Benefits of Combining AI and EVs

Lecture 5 Lecture 1.5 Future of AI in the EV Industry

Section 2: Section 2 AI in Autonomous Driving

Lecture 6 Lecture 2.1 What is Autonomous Driving

Lecture 7 Lecture 2.2 AI Technologies Behind Self-Driving Cars

Lecture 8 Lecture 2.3 How AI Enables Navigation and Decision-Making

Lecture 9 Lecture 2.4 Safety and Reliability in AI-Powered Driving

Lecture 10 Lecture 2.5 Case Study Tesla Autopilot

Section 3: Section 3 AI-Powered Battery Management Systems (BMS)

Lecture 11 Lecture 3.1 What is a Battery Management System

Lecture 12 Lecture 3.2 How AI Optimizes Battery Performance

Lecture 13 Lecture 3.3 AI for Battery Safety Monitoring

Lecture 14 Lecture 3.4 Extending Battery Lifespan with AI

Lecture 15 Lecture 3.5 Examples of AI in BMS from Leading EV Companies

Section 4: Section 4 AI in EV Charging Systems

Lecture 16 Lecture 4.1 Introduction to EV Charging Systems

Lecture 18 Lecture 4.3 AI-Driven Charging Station Management

Lecture 19 Lecture 4.4 Integration of AI with Renewable Energy for EV Charging

Lecture 20 Lecture 4.5 Real-World Applications of AI in Charging Networks

Section 5: Section 5 AI for Predictive Maintenance in EVs

Lecture 21 Lecture 5.1 What is Predictive Maintenance

Lecture 22 Lecture 5.2 AI for Monitoring Vehicle Health

Lecture 23 Lecture 5.3 AI in Motor and Battery Diagnostics

Lecture 24 Lecture 5.4 Extending the Life of EV Components with AI

Lecture 25 Lecture 5.5 Examples of AI-Driven Maintenance Systems

Section 6: Section 6 AI for Enhanced EV Safety

Lecture 26 Lecture 6.1 AI in Advanced Driver Assistance Systems (ADAS)

Lecture 27 Lecture 6.2 Real-Time Hazard Detection with AI

Lecture 28 Lecture 6.3 AI for Driver Monitoring

Lecture 29 Lecture 6.4 AI in Emergency Response Systems

Lecture 30 Lecture 6.5 Examples of AI Safety Features in EVs

Section 7: Lecture 7.1 How AI Enhances EV Efficiency

Lecture 31 Lecture 7.1 How AI Enhances EV Efficiency

Lecture 32 Lecture 7.2 AI for Real-Time Performance Monitoring

Lecture 33 Lecture 7.3 Dynamic Driving Modes Powered by AI

Lecture 34 Lecture 7.4 AI for Range Estimation

Lecture 35 Lecture 7.5 Case Study AI-Driven Performance Optimization

Section 8: Section 8 The Future of AI in Electric Vehicles

Lecture 36 Lecture 8.1 Emerging AI Trends in EVs

Lecture 37 Lecture 8.2 AI and EV Sustainability

Lecture 38 Lecture 8.3 AI in EV Fleet Management

Lecture 39 Lecture 8.4 Challenges in Implementing AI in EVs

Lecture 40 Lecture 8.5 Final Lecture of Course What’s Next AI’s Long-Term Impact on the EV

Engineering Students and Professionals,Data Scientists and AI Enthusiasts,Electric Vehicle Enthusiasts,Software Developers and Coders,Energy and Sustainability Professionals,Autonomous Driving and Robotics Enthusiasts,Entrepreneurs and Innovators,Academics and Researchers