Session 5 on Energy-Efficient Transportant

Amazing Session!Very interesting paper and presentations. Blow are some basic information.

#1 Speed planning for solar-powered electric vehicles

Why solar-powered vehicles?

  • 1, Charging time of PEV may be long; Green energy;
  • 2, 22% efficiency of nowadays solar panel, and increasing
  • 3, price of solar energy is reducing
  • Ford C-Max solar energy Concept demoed at CES 2014

However, shading reduces the collected solar power.

Objective: speed planning of solar EVs: ensure enough energy to reach the destination as soon as possible


Q: all the information on road is known previously? or you assume there is certain distribution? Yes, here this information is know pre-hand.

Q any particular battery charge/discharge module? Yes, a battery is on the car.

Q: where you get the driving range of these EVs? published.

Q: how big is your battery? 4kWh. Fixed size.

Some random thoughts:

1, The problem formulation: ensure E>0 at the end of each road segment is enough? should it be always >0??

2, What are the shaded and illuminated environments on the experimental paths? how to classify shaded and illuminated in practice?



#2 Range prediction for electric bicycles

 3-Step approach: get GPS readings; trip segmentation; and battery consumption estimation

The consumption estimation is simply the historic average in the first and simplest model, and, it achieves reasonably well accuracy.

Incorporating more factors in the model actually degrades the accuracy.

Q: why those particular parameters in the 2nd model? Actually, the authors have tried much more.

#3 Fuel minimization of plug-in hybrid electric vehicles by optimizing drive mode selection

Different driving modes (e.g., EV or on fuel) have different energy efficiency. Help drivers to plan the optimal driving modes to save the fuel consumption.

An App on phones, to be connected to the ODB port of the car.

Also incorporated routing planning into the design.

#4 Energy-efficient timely transportation of long-haul heavy-duty trucks

Now comes the best paper candidate!

Heavy consumption (18% of total) of heavy-duty trucks (only 4% in number of vehicles).

Reduce the consumption while ensure latency.

Nice problem formulation presented.

Compared with fastest and shortest approaches, showing significant improvement.

Q: whats the common way to travel? other choices besides shortest/quickest, etc? how they differ from your work?

Q: save 17% consumption? how much additional delay?



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