1. Applying CloudThink infrastructure to real-time vehicle parameter estimation
Erik Wilhelm, Sanjay Sarma, Lynette Cheah, Francisco Pereira
Goal:
to identify vehicle characteristic parameters (mass, rolling and
aerodynamic resistance, and powertrain efficiency) in real-time by
linking light-duty vehicles to the CloudThink infrastructure and
intelligently processing their data.
Applications:
1. Tire pressure sensing: underinflated tires reduce fuel
efficiency and tire lifetime, yet loss coefficients can be used
to under inflation algorithmically replacing the expensive
tire pressure monitoring systems are only beginning to
penetrate the market.
2. Autonomous vehicle odometry: understanding vehicle
mass and rolling resistance will significantly increase the
accuracy of the distance travelled estimate, improving the
performance and lowering the cost of autonomous
vehicles.
Research Question:
How can applying advanced parameter identification and machine learning technology to
analyse and classify data from cloud-linked vehicles be used to improve the design of current
and future transportation technologies relevant to Singapore?

2. Applying CloudThink infrastructure to real-time vehicle parameter estimation
Erik Wilhelm, Sanjay Sarma, Lynette Cheah, Francisco Pereira
Real-time Electric Vehicle Weight Estimation
Mitsubishi iMiEV
Secure, flexible API
Highly accurate mass identification
Signal Analysis
Identified Mass - Driver Only
Time-series Data - Driver Only
50
40
1800
1600
2
accel (m/s )
torq/10 (N-m)
error (%)
30
20
10
1400
Mass (kg)
Scaled values
2000
tau (N-m)
spd (km/h)
mass/100 (kg)
force/100 (N)
60
Open-source Hardware
Ident. Mass
Cum. ave.
True mass
1200
1000
800
0
600
-10
400
-20
200
-30
0
192
194
196
198
200
202
Time (s)
204
206
208
0
10
20
30
Event
40
50
60

3. Applying CloudThink infrastructure to real-time vehicle parameter estimation
Erik Wilhelm, Sanjay Sarma, Lynette Cheah, Francisco Pereira
CloudThink open platform design:
Research Question:
What is the most effective way to design an open platform for moving vehicle data to the
cloud?
To perform this analysis, the design choices made during CloudThink’s development will
be catalogued and codified such that a statistical analysis can be made.