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Dr. Jignesh Makwana

This comprehensive course, "Electric Vehicle Crash Course," is tailored to suit individuals of all ages and backgrounds, ranging from high school students to seasoned researchers. It serves as a go-to resource for mastering the in-demand skill set of Electric Vehicle technology. Whether you're just starting out or looking to deepen your understanding, this course covers everything from the basics to advanced topics. Continuously updated with the latest resources and based on student feedback, it stands as the ultimate online resource for those considering a career in the Electric Vehicle industry, all while remaining accessible and affordable.

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This comprehensive course, "Electric Vehicle Crash Course," is tailored to suit individuals of all ages and backgrounds, ranging from high school students to seasoned researchers. It serves as a go-to resource for mastering the in-demand skill set of Electric Vehicle technology. Whether you're just starting out or looking to deepen your understanding, this course covers everything from the basics to advanced topics. Continuously updated with the latest resources and based on student feedback, it stands as the ultimate online resource for those considering a career in the Electric Vehicle industry, all while remaining accessible and affordable.

Module 1 - Electric Vehicle Project Guide (Chapter 1 -7): In this module, participants will delve into the essentials of launching an Electric Vehicle project from scratch. Covering crucial calculations such as power requirements, gear ratios, battery range, and more, this section lays the foundation for understanding the practical aspects of Electric Vehicle design. From estimating costs to building prototypes and exploring different Electric Bicycle types, participants will gain hands-on experience in initiating and executing Electric Vehicle projects.

Module 2 - Electric Vehicle Industry and Startups (Chapter 8): Participants will explore the landscape of the Electric Vehicle industry, focusing on key players and startups within the Indian context. Understanding the industry's current state and emerging trends provides valuable insights for aspiring professionals and entrepreneurs alike.

Module 3 - Electric Vehicle Engineering (Chapter 9-13): This module delves into the engineering principles underlying Electric Vehicles, covering topics such as vehicle dynamics, motor characteristics, energy sources, and vehicle configurations. Through a comprehensive examination of Electric Vehicle components and systems, participants gain a deep understanding of the technical aspects driving innovation in this field.

Module 4 - Simulation and Analysis of Electric Vehicle System with MATLAB (Chapter 14-21): The final module equips participants with the tools and techniques necessary for simulating and analyzing Electric Vehicle systems using MATLAB. From developing mathematical models to solving differential equations and integrating vehicle and motor simulation models, participants learn how to predict and optimize system performance using advanced computational methods.

By the end of this course, participants will emerge as competent Electric Vehicle enthusiasts, equipped with the knowledge and skills needed to navigate the dynamic landscape of Electric Vehicle technology with confidence. Whether pursuing further studies or entering the industry directly, graduates of this course will be well-prepared to make meaningful contributions to the advancement of Electric Vehicle technology.

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What's inside

Learning objectives

  • How to calculate required average motor power
  • How to calculate gear ratio
  • How to calculate battery & vehicle range
  • How to obtain rated vehicle speed
  • How to obtain torque developed by motor
  • How to obtain motor efficiency
  • How to obtain rated vehicle speed
  • How to calculate cost of electricity bill for single charge
  • How to calculate running cost of vehicle for per km travel
  • How to calculate battery replacement cost for per km
  • How to estimate charging time from c-rating of battery
  • About different motors, controller, battery, throttle and other mechanical aspects.
  • Starting electric vehicle project and building prototype.
  • Connection of motor, controller and other accessories.
  • Type of electric bicycle & pas
  • About electric vehicle industries of india and startups
  • 5+ practice assignements
  • New module: electric vehicle engineering vehicles to learn all engineering aspects
  • Vehicle dynamics, vehicle performance parameters , driving cycle, force-speed characteristics
  • Electric motor, torque-speed characteristics, suitability and comparison
  • Electric motor drive - drive train -power train
  • Energy sources, fuel cell, ultracapacitor, flywheel, battery
  • Electric vehicle configuration based on electric motor and based on energy sources
  • How to develop a mathematical model of the vehicle
  • How to develop a matlab simulation model of the specific vehicle
  • How to develop simulation model of specific electric motor
  • How to connect developed vehicle model to the electric vehicle model with a passive loading scheme
  • How to use this model for predicting the performance of the system
  • Effect of rolling resistance on ev model
  • Show more
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Syllabus

Introduction
New Module Add-on Feb 2024
New: Simulation and Analysis of Electric Vehicle
Basic System Parameters
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Ideal for those who want to get a head start on Electric Vehicle fundamentals
Suitable for all ages and levels, particularly high school students
Covers topics ranging from basic to advanced
Provides real-world examples and hands-on experience
Keeps you updated with the latest industry trends and resources
Instructor highly experienced and acclaimed in the field of EV

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Reviews summary

Comprehensive ev fundamentals with practical simulations

According to students, this 'Electric Vehicle Crash Course' offers a largely positive and comprehensive foundation in EV technology. Learners appreciate the clear explanations of core calculations for EV projects, finding them practical and easy to grasp. The course is noted for its ability to provide valuable insights into the EV industry, particularly in India. Many highlight the addition of the MATLAB simulation module as a significant enhancement, making it highly relevant for career development. While it serves as an excellent starting point for beginners, some advanced learners suggest certain sections could benefit from greater depth for experienced professionals.
Instructor actively updates based on student feedback.
"I appreciate how the instructor updates content; it keeps the course highly relevant."
"The updated content, especially the simulation module, makes this course stand out. The instructor clearly listens to feedback."
Provides valuable context on the EV industry and startups.
"Good foundational course, especially for understanding the Indian industry landscape."
"The industry insights were also valuable and provided a good overview of the market."
"This course helped me understand the current state and emerging trends in the EV industry."
Provides an accessible entry point to EV technology.
"It's a great starting point for engineering students interested in EVs."
"This helped me bridge some knowledge gaps quickly as a professional new to EVs."
"It's good for beginners but perhaps too basic for advanced learners, so set your expectations."
Offers a solid foundation with essential calculations.
"The practical calculations for EV projects were very clear and helped me immensely."
"Excellent 'crash course' for anyone wanting to get into EVs. The explanations are concise..."
"Very practical for understanding how to approach an EV project, especially the calculations."
New module enhances career relevance significantly.
"Just finished the new MATLAB module and it's fantastic! The step-by-step approach to simulation models really helped."
"...the inclusion of MATLAB for simulations is a huge plus for career development."
"The updated content, especially the simulation module, makes this course stand out. The instructor clearly listens to feedback."
May not fully satisfy seasoned or advanced learners.
"As a seasoned researcher, I found the initial modules too basic... hoping for more advanced simulation techniques."
"I felt some engineering concepts could have been explained in more depth."
"For advanced learners, some parts felt a bit fast-paced or lacked the intricate details I was seeking."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Electric Vehicle Crash Course with these activities:
Read Electric Vehicle Technology Explained
Reading 'Electric Vehicle Technology Explained' will provide you with a comprehensive understanding of the principles and technologies behind Electric Vehicles.
Show steps
  • Purchase or borrow a copy of the book
  • Read the book carefully, taking notes as you go
  • Complete the exercises at the end of each chapter
  • Write a summary of the book
  • Discuss the book with other students or professionals
Show all one activities

Career center

Learners who complete Electric Vehicle Crash Course will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Electric Vehicle Crash Course.
Teaches hands-on computational modeling from the ground up using Python notebooks, walking learners through discrete time-step models, queuing systems, epidemiological compartments, first-order differential equations, and physical mechanics with clear, iterative code.
Foundational text providing a comprehensive overview of project management principles and practices. It is essential for gaining a broad understanding of the topic and is widely used as a reference and textbook in academic and professional settings. The seventh edition reflects current trends and approaches in project management, including adaptive and hybrid methodologies. It is highly valuable for both beginners and experienced professionals looking to solidify their understanding and as a reference for best practices.
This handbook comprehensive and authoritative reference covering all major battery types. It's an invaluable resource for gaining a broad understanding of battery technology, suitable for professionals and advanced students. While extensive, its depth also makes it a valuable reference tool for specific battery chemistries and applications.
Focuses on the probabilistic and algorithmic foundations of Monte Carlo simulation, Markov Chain Monte Carlo (MCMC), Poisson processes, bootstrap resampling, and importance sampling/control variates for quantitative analysts and computer scientists.
Models complex adaptive systems from the bottom up using NetLogo, demonstrating how simple local interaction rules among autonomous agents generate emergent dynamics across ecology, traffic flows, epidemiology, and computational social science.
This textbook is designed for engineering and science students learning numerical problem solving using MATLAB. It introduces theory to support key concepts and demonstrates applications using MATLAB. The book is suitable for an undergraduate course in numerical methods and includes examples and materials relevant to various engineering and science disciplines.
Emphasizes the practical use of MATLAB and Simulink for modeling, analysis, and design of control systems. It follows a practical approach with numerous examples and code. It good reference for undergraduates and professionals in control engineering.
This handbook practical guide to the design of lithium-ion battery packs, covering chemistry, components, and terminology. It's particularly useful for engineers and professionals involved in the design and implementation of battery systems for applications like electric vehicles.
Part of the highly regarded Princeton Lectures in Analysis series, this book provides a deep and comprehensive treatment of measure theory, integration, and Hilbert spaces. It foundational text for graduate students specializing in mathematical analysis and related fields. It key reference for advanced topics.
Providing a concise and balanced overview of MATLAB's functionality, this book covers both fundamentals and applications. It's ideal for a first course on MATLAB or for an engineering problem-solving course. The book includes examples from various scientific and engineering areas and has been updated to include newer MATLAB features, making it a valuable resource for students and professionals.
This textbook provides a comprehensive overview of electric vehicle engineering. It covers the design, development, and testing of various EV components and systems. The author leading expert in the field and offers practical insights into the engineering aspects of EVs.
This textbook focuses on the power electronics and drives used in electric vehicles. It covers the design, modeling, and control of various EV power systems. The author leading expert in the field and offers practical insights into the engineering aspects of EV powertrains.
This comprehensive guidebook provides a complete overview of electric vehicles. It covers everything from the history and technology of EVs to their environmental and economic benefits. The author leading expert in the field and offers valuable insights into the future of EVs.
A comprehensive and advanced text covering key topics in statistical learning and data mining. crucial reference for graduate students and professionals in statistics, machine learning, and data science looking to deepen their understanding of contemporary analytical techniques. It is highly influential in the field.
A standard and highly regarded textbook for undergraduate real analysis. is crucial for deepening understanding of the theoretical underpinnings of calculus, including rigorous proofs of theorems related to sequences, series, continuity, differentiation, and integration. It is commonly used in academic institutions.
Walks industrial engineers and operations analysts through building process-oriented discrete-event simulations, resource schedules, entity routing, and steady-state statistical experiments for manufacturing lines, supply chains, and service operations.
Focuses specifically on Battery Management Systems (BMS) for large lithium-ion battery packs, which are critical for applications like electric vehicles and grid storage. It's highly relevant for those interested in the practical implementation and control of battery systems. It provides in-depth discussions on BMS topologies and functions.
Introduces MATLAB for control systems engineering, focusing on practical hands-on instructions. It covers the MATLAB environment, programming, and the use of the Control Systems Toolbox for design and analysis. It is suitable for students and engineers working with control systems.
This foundational text covers the theory and application of pattern recognition and machine learning, disciplines heavily reliant on statistical analysis and linear algebra. It widely used reference and textbook for graduate students and researchers in machine learning, statistics, and computer science, offering a deep dive into the analytical methods used in these fields.
Provides a comprehensive university curriculum on event-list scheduling algorithms, queueing network theory, random-variate generation, and confidence-interval estimation for comparing alternative system designs under stochastic uncertainty.
Provides instruction on processing signals encountered in communications using MATLAB. It covers converting continuous time signals to digital signals and discusses processing methods like filtering, with a focus on applications in digital communications.
Is praised for its clear and intuitive approach to introducing real analysis, making it an excellent bridge from calculus to more abstract analysis. It's highly recommended for undergraduates beginning to delve into rigorous proofs and helps solidify foundational concepts. It is often used as a textbook for a first course in real analysis.
Considered a comprehensive guide and often referred to as a 'bible' in project management, this book offers a detailed systems approach to planning, scheduling, and controlling projects. It is suitable for both students and professionals seeking to deepen their knowledge. The book includes real-world case studies and covers a broad range of topics, making it a strong reference for various project scenarios.
Provides an introduction to machine learning concepts and their implementation in MATLAB. It covers key areas such as classification, regression, clustering, and neural networks with practical examples. It's a good starting point for those interested in applying machine learning techniques using MATLAB.
Provides an introductory to intermediate level text on image processing, utilizing MATLAB examples to illustrate key concepts. It takes a practical approach with numerous examples, exercises, and computer experiments.
Offers a broad overview of the materials and components used in various battery technologies, including recent advancements. It's suitable for gaining a general understanding of the building blocks of batteries and good starting point before delving into more specialized topics. It covers a wide range of battery types, providing a solid foundation.
Establishes the formal Discrete Event System Specification (DEVS) mathematical hierarchy that unifies continuous differential equations, discrete-event automata, and hybrid co-simulation architectures in complex systems engineering.
Provides an intuitive and engaging introduction to the core concepts of statistics without relying heavily on mathematical formulas. It's ideal for gaining a broad understanding of statistical analysis and its real-world applications, making it suitable for high school and undergraduate students, as well as professionals needing a conceptual grasp. It clarifies key concepts such as inference, correlation, and regression analysis.
Another foundational book on Scrum, this guide by co-creator Ken Schwaber delves into applying Scrum for agile project management. It provides practical examples and is considered a must-read for those adopting agile approaches. is particularly useful for understanding how to implement Scrum practices in real-world projects.
The second volume in Plett's series on BMS, this book focuses on equivalent-circuit methods for battery modeling and analysis. It's a continuation for those who have covered the first volume and wish to delve into practical modeling techniques.
Explores battery technologies beyond traditional lithium-ion chemistries, covering recent advancements and future prospects. It's essential reading for those interested in the next generation of battery technologies and cutting-edge research.
Emphasizes the engineering aspects of batteries, providing insights into designing batteries for various applications, including electric vehicles. It's suitable for both students and professionals seeking to understand the practical considerations and design principles behind modern battery systems. It bridges the gap between theoretical concepts and real-world applications.
Provides a practical introduction to programming concepts and data structures using MATLAB. It's a good resource for beginners to learn programming principles within the MATLAB environment.
Bridges classroom theory and real-world consulting by structuring the entire lifecycle of a simulation project—from problem formulation and field data collection to verification walkthroughs, design of experiments, and executive presentation.
Illustrates real-time continuous-time simulation engineering through six-degree-of-freedom equations of motion, numerical integration stability, aerodynamic lookup tables, navigation instrumentation, and real-time visual rendering loops.
Key resource for understanding estimating and planning in agile environments. It provides practical techniques for creating realistic plans and managing scope in iterative projects. It is essential reading for those working with or transitioning to agile methodologies.
Is designed as a simple and concise introduction to MATLAB for beginners, particularly those in engineering. It starts with basic concepts and shows how MATLAB can be used to solve a wide range of engineering problems. The book is known for its just-in-time learning approach, providing information as students need it.
Is designed as a basic guide for beginners in project management. It covers fundamental concepts in an easy-to-understand manner, making it suitable for those new to the topic or serving as unofficial project managers. It provides a solid starting point for learning the basics of project planning and management.
Provides a systematic overview of novel energy storage devices beyond alkali metal ion batteries, focusing on non-conventional technologies and materials. It is suitable for researchers and industry professionals interested in alternative and emerging battery technologies.
Introduces system dynamics, cellular automata, Monte Carlo methods, and agent-based simulations across biology, physics, and computer science, helping students translate real-world rate equations and stochastic transitions into executable models.
A classic introduction to the potential misuse of statistics, this book is excellent for gaining a broad, critical understanding of how data can be presented in misleading ways. It's highly accessible for high school and undergraduate students and serves as a valuable cautionary tale for anyone working with data. It is more valuable for developing critical thinking about data than as a technical reference.
Focuses on the electric vehicle charging infrastructure. It covers the design, deployment, and operation of various EV charging systems. The author leading expert in the field and offers valuable insights into the latest advancements in EV charging technology.
Delves into optimization techniques and their implementation using MATLAB. It covers various optimization algorithms and provides practical examples using MATLAB's Optimization Toolbox. It's suitable for those needing to perform optimization in their work.
Aims to help users master MATLAB, going beyond the basics to cover more advanced programming techniques and features. It's suitable for users who have a foundational understanding of MATLAB and want to enhance their proficiency.
Demonstrates how physics-based particle simulations integrate Newton's equations of motion across interatomic potentials, thermostats, and boundary conditions to predict material mechanics and nanoscale dynamics.
Walks data practitioners through implementing Monte Carlo financial simulations, SimPy discrete-event queues, Markov chains, and cellular automata in Python to optimize real-world industrial and business operations.
Focuses on the fundamental principles of data science and analytical thinking from a business perspective. It's excellent for understanding how data analysis is applied in real-world business scenarios and is suitable for undergraduate students and professionals interested in the practical side of analysis.

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