CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
Ev and i give pull up
1. Intelligent Grid Interfaced
Vehicle Eco-charging
Battery management
system
To be embedded with
state –of-the-art
research on SOC
estimation, thermal
management, and
high level battery
protection
Remote data collection
• GPS location
• Speed
• Acceleration
• Frequency
• Slope
• Temperature
• Humidity
• Air quality
• UV
• Voltage
• Current
Big data analysis
Battery Performance
•Environment
condition test (-20°C
- +50°C)
•Prolong battery life
•Waste heat recovery
•Low speed, high
speed, and ultra
speed charging and
discharging
• Distributed
storage
• V2G, V2B
• Smart charging
• Wireless charging
• Charging while
driving
• EV Fleet charging
• EV Embedded
PMU for quality
analysis
Charging strategy
A smarter and
greener way to charge
your EVs
Prof Kang Li
k.li@qub.ac.uk
028 9097 4663
Energy, Power and Intelligent Control
School of Electronics, Electrical Engineering
and Computer Science
http://www.i-give.org.uk
Wireless EV charging Li-Ion Battery management Driving cycle testing
Economic load dispatch Wide-area monitoring Renewable energy integration