The document discusses research into intelligent vehicle charging that collects remote data on location, driving conditions, and battery performance to analyze battery health and inform smarter charging strategies. The goals are to prolong battery life, recover waste heat, and enable different charging speeds including ultra-fast and wireless charging, as well as vehicle-to-grid and vehicle-to-building capabilities. The research aims to develop a greener and smarter way to charge electric vehicles.

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