Electric and Autonomous Vehicle Systems Certificate
Master of Science in Engineering Online
UCLA Engineering

Description:
The automotive sector is going through significant disruption due to recent advances in technology. Innovations in this sector include sensor technologies; communications and 5G; decision making, learning and AI and, controls and system modeling. These innovations are changing the sector with transportation now including shared mobility, electrification, connectivity and ultimately, autonomous driving. This certificate will cover the disruption taking place in the automotive sector ultimately leading to a modern automotive industry with autonomous vehicle systems.

Courses in this certificate will include:

    (i) Introduction to Electric and Autonomous Vehicle Systems
    (ii) Machine Learning Algorithms
    (iii) Model Based Simulation and Control of Electric and Autonomous Vehicles and,
    (iv) Data-Driven Electric and Autonomous Vehicle Systems

Who Should take this Certificate:

  • Industry practitioners including engineers and managers who are involved in developing electric and autonomous products
  • Government employees involved in creating infrastructure such as electric vehicle charging stations
  • Fleet operators who are modernizing their fleets with electric and autonomous vehicle systems
  • Automotive suppliers that are working to create technological products for the modern automotive sector that include electric and autonomous vehicle systems
  • Electric Grid operators interested in the growth of electric vehicle markets
  • Engineers interested in learning about the technologies for electric and autonomous vehicle systems that can also be applied in other verticals such as logistics, retail and healthcare and include data, IoT, machine learning and AI
  • Managers and directors working with any type of autonomous systems such as robots, drones, self driving cars
  • Entrepreneurs with product ideas for the automotive sector related to electric and autonomous vehicle systems

Courses:

  • Course 1: ENGR 188 Special Courses in Engineering: Introduction to Electric and Autonomous Vehicle Systems (Instructors: Dr. Vandana (Ana) Mangal (lead) and Ariel Jalali)
  • Course 2: COM SCI M268 (same as ECE/COM SCI M206) Machine Perception/Machine Learning Algorithms (Instructor: Prof. Cho-Jui Hseih)
  • Course 3: MAE 298 Model Based Simulation and Control of Electric and Autonomous Vehicles (Instructor: Prof. Tsu-Chin Tsao)
  • Course 4: MAE 298 Data-Driven Electric and Autonomous Vehicle Systems (Instructor: Prof. Rajit Gadh)

For more information on this certificate program, please contact info@smartgrid.ucla.edu.

Courses Description:

ENGR 188 Special Courses in Engineering: Introduction to Electric and Autonomous Vehicle Systems
This course aims to prepare you to play a significant role as the workforce of the future by learning tools including data, machine learning and artificial intelligence in terms of the technology, applications and implications. Many vertical applications exist including logistics, automotive and healthcare that are commercially successful where humans work in conjunction with technology systems. In the next phase, control will be handed over to autonomous systems. This course will focus on the automotive sector, where data, IoT and AI are key technologies. You will learn about the various trends and technological evolution in the disrupting value chain for the automotives sector, the key players, its implications for your career and to inspire you for the creation of the next generation of products and business models that make human lives and society better. Learning these tools for the automotive sector in terms of electric and autonomous vehicle systems will prepare you to be relevant in the workforce of the future.

COM SCI M268 (same as ECE/COM SCI M206) Machine Perception/Machine Learning Algorithms
Computational aspects of processing visual and other sensory information. Unified treatment of early vision in man and machine. Integration of symbolic and iconic representations in process of image segmentation. Computing multimodal sensory information by neural-net architectures.

MAE 298: Model Based Simulation and Control of Electric and Autonomous Vehicles
This class will introduce the simulation and control of motor vehicles by the model based control approach. Students will learn to use modern control design and dynamic simulation methods and software tools to build and analyze vehicle powertrain control systems. Lectures, assignments, and projects will include control oriented models and control, verified by high fidelity simulation models for vehicle, powertrain, and electric motors.

Tentative list of topics:

    1. Introduction to various aspects of vehicle drive-by-wire
    2. Electric motors and drives
    3. PWM delay and PI control of motor drives
    4. Vehicle and powertrain dynamics – linear and non-linear models
    5. Longitudinal and lateral vehicle control
    6. Vehicle driving cycle simulation, fuel (electric or combustion) consumptions and driving efficiency

MAE 298: Electric Vehicle Mobility Systems - Integration of sensors, networking, machine learning and controls
In recent years, there has been significant technical progress in electric drive trains and battery technologies resulting in the rapid growth of the electric vehicles (EVs) in the marketplace. While individual component technologies such as batteries, inverters, chargers, etc., have been advancing, there have also been significant innovations in sensor technology, communications between devices, technologies to transport, manage and analyze large amounts of data, and in the ability to control battery systems. Also, significant progress has been made in the infrastructure for EV charging by way of smart, networked and fast EV chargers, distributed energy resource management of the last mile grid and electrical energy management for mobile EV fleets.

This course will present the software, communications, hardware and machine learning necessary for creating electric EV mobility systems and the interfaces between EVs and the infrastructure to support mobility needs of the future.

For more information on this certificate program, please contact info@smartgrid.ucla.edu.


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