The document discusses career opportunities in electrical engineering. It outlines opportunities in various industries such as automotive, electric vehicles, and autonomous vehicles. Some key roles mentioned include electric motor design, battery management systems, vehicle integration, power electronics, and software development for autonomous functions. The document provides online resources for learning more about these topics on platforms like Udemy and YouTube. It emphasizes the need for interdisciplinary skills to succeed in future roles and encourages starting to learn relevant technologies.

1. Career opportunities in
Electrical engineering
27/03/2022
By
Murali Krishna U

4. Focus during today’s talk
Explore Preparation Resources
How you can change the world and make this world better place to live in ?

5. Let’s Explore the opportunities first !
Conventional
automobiles
Electric vehicles
Autonomous
vehicles

6. Automotive Industry
Micro-display
image technologies
Traditional GPS and GNSS
navigation using intelligent
algorithms that process
distance, direction, and
elevation changes made
during satellite signal
interruption Image stabilization
technologies
Electronics design
Lighting technologies
Airbag control unit design
and programming
ADAS (Advanced Driving Support System) is a part of a big concept of AD (Autonomous
Driving)
-classified into five levels according to the degree of automation- Levels 1 and 2 are
positioned as "driving support", and so-called " Autonomous Driving " which the system
judges is Level 3 or higher.

7. Automotive Industry
Adaptive cruise control (ACC) is an
available cruise control advanced driver-
assistance system for road vehicles that
automatically adjusts the vehicle speed to
maintain a safe distance from vehicles ahead
Roll over mitigation constantly monitors the
vehicle behavior with the help of the ESP®
sensors and intervenes when the vehicle
threatens to roll over
The traction control system (TCS) detects if a loss of
traction occurs among the car's wheels
Electronic stability control systems use automatic
computer-controlled braking of individual wheels to
assist the driver in maintaining control of the car in
critical driving situations. ESC helps prevent a car from
“spinning out” or “plowing out” due to the loss of road traction
because of slipping wheels
Biometric technologies
Noise-cancelling microphones are built to
pick up your voice while ignoring the
background noise.
Sensor & actuation
technologies
Data collection, Data
analysis

8. Electric vehicle Industry
Motor Designing,
Development,
Manufacturing,
Quality,
Sales and
marketing
Power electronics
design, PCB
development,
PCBA design and
manufacturing,
Vehicle integration
& Programming
Thermal
engineering,
Vehicle thermal
management
Thermal circuit
Chemical engineering
Battery technology
Battery management
system
Vehicle integration
Power electronic
charger design
Charger and
Battery integration
Global Charging
standards
Data analysis
Artificial intelligence
Software engineering

9. Autonomous car Industry LiDAR, short for light detection and ranging, is a
remote sensing technology that uses light in the
form of a pulsed laser to measure ranges
(distances) to a target. A LiDAR sensor fires off
beams of laser light and then measures how long it
takes for the light to return to the sensor.
DSRC (Dedicated Short-Range
Communications) is a wireless
communication technology that
enables vehicles to communicate
with each other and other road
users directly, without involving
cellular or other infrastructure
It has been used in vehicles to support
drivers with their driving tasks like parking
and nearby obstacle detection.
Self-driving cars use camera technology to
see in high resolution. Cameras are used to
read road signs and markings. A variety of
lenses are placed around self-driving vehicles,
providing wide-angle views of close-up
surroundings and longer, narrower views of
what's ahead
Radar sensors aren't affected by light and
darkness and with the ability to detect
obstructions like glass, it can “see” through
walls.
Digital map is necessary for
autonomous vehicles
because they cannot compensate
for map inaccuracies the way
humans do when following their
GPS
There are several critical
technologies behind safe and
efficient autonomous-vehicle
operation—AI, safety and
security, cameras, network
infrastructure, and the sensor
technologies radar and lidar, or
laser-light radar.

10. Preparation
Electrical
Engineering
Electronics
Engineering
Computer
science and IT
Mechanical
Engineering
+
• Electronic circuits
design
• Communication
technologies
• Automotive electronics
• Vehicle control systems
• Vehicle architecture
• DC/DC and AC/DC
power conversions
• Vehicle and Battery
thermodynamics
• NVH design
• EV architecture
• Vehicle stability
improvement
• Vehicle safety
• Data collection on driving /
battery charging
• Software development for
autonomous vehicles
• IOT in cars
• Digital map development
Interdisciplinar
y skills are
necessary for
future success

11. • Initiate learning the below technologies and skills
Preparation for being future ready

12. Useful Resources
• Udemy courses
• Electric motor design  https://www.udemy.com/course-dashboard-
redirect/?course_id=3766328
• Artificial intelligence  https://www.udemy.com/course-dashboard-
redirect/?course_id=1219332
• Mind mapping  https://www.udemy.com/course-dashboard-
redirect/?course_id=47285
• Charging infrastructure  https://www.udemy.com/course-dashboard-
redirect/?course_id=3768492
• Complete self driving car  https://www.udemy.com/course/applied-deep-
learningtm-the-complete-self-driving-car-course/

13. Useful Resources
• YouTube Resources
• Battery management systems 
https://www.youtube.com/watch?v=VtvTIibJOyY
• Difference between outer and inner rotor motor 
https://www.youtube.com/watch?v=TeJ1KkX76rg&t=38s
• Introduction to electric vehicle thermal management system 
https://www.youtube.com/watch?v=DnIrKyvXm00
• Are hub motors the future choice of electric vehicles 
https://www.youtube.com/watch?v=vnGtYdwGorI&t=21s
• Difference between BLDC and PMDC Motors 
https://www.youtube.com/watch?v=R7E61d9cLi0&t=85s

14. Electric motors –
design/ development /
manufacturing
Electric vehicle conversion kits
manufacturing and sales
Battery management system /
Motor controller / Power
conversion development,
manufacturing services
Battery manufacturing
and assembly services
On-board charging / public charging design,
development , infrastructure , mobile
applications
Battery swapping services,
infrastructure and mobile app
development and maintenance.

15. Contact me @
umurali2000@gmail.com
/ muralitoday
/ muralitoday
/ muralitoday
/ muralitoday
http://www.murali.today

16. “Anyone who stops learning is old, whether at twenty or eighty.
Anyone who keeps learning stays young. The greatest thing in
life is to keep your mind young.” – Henry Ford

17. Questions

18. Thank you

19. Autonomous car Industry
Level 0: No operation automation
All driver tasks (DDT: Dynamic Driving
Task) are carried out by the driver.
It does not contain any automated
elements at all.
Level 2: Partial operation automation
· Sustainable operation design domain (ODD) limited
implementation by operation automation system.
· The operation automation system carries out
subtasks of operation tasks (DDT) related to vehicle
control in both the front and rear direction and the left
and right direction.
· The driver completes the subtask of object and event
detection and response (OEDR)
Level 3: Conditional operation
automation
· Sustainable and operational design
domain (ODD) limited implementation of all
operation tasks (DDT) by Autonomous
Driving System (ADS).
· Preliminary response users (DDT
fallback-ready user) are requested to
intervene by Autonomous Driving System
(ADS)
We expect to respond appropriately to
system failures related to operation task
(DDT) implementation in other vehicle
systems.
Level 4: Advanced operation automation
· Sustainable and operational design
domain (ODD) limited implementation of all
operation tasks (DDT) by Autonomous
Driving System (ADS).
· In fallback (DDT fallback), users are not
expected to respond to intervention.
Level 5: Full operation automation
· Sustainable and unconditional for all operation
tasks (DDT) by Autonomous Driving System (ADS)
(Ie, operation design domain (ODD) not limited).
· In fallback (DDT fallback), users are not expected
to respond to intervention.
Level 1: Driver assistance
· Limited implementation of the sustainable operational
design domain (ODD) by the operation automation
system.
· The operation automation system carries out subtasks of
operation task (DDT) related to vehicle control in either
the front or rear direction and the left / right direction. (Not
both)
· The driver expects to implement the rest of the driving
task (DDT).