The GensAce900mah/Tattu1000mah airsoft riffle battery has capacity of 970mah. 4-S configuration. Flight time is 0.97Ah x 90% x 4 x 3.7V / 22.2W(power for cruise with HD video) = 0.582 hour = 35 minutes. The implication is that the craft should be reproduced for 1 billion units and deployed around the globe for traffic monitoring/road side assistance applications. Every person should have an assistant drone nearby whenever they step out of the door. Think terminator micro drones but on human's side. Each cell weighs 18.9 grams. Energy density 0.97Ah x 3.7V / 0.0189kg = 190Wh/kg. Takeoff weight is 250 grams. Total battery energy is 0.97Ah x 4 x 3.7V = 14.4Wh.

The DJI Mavic mini has 50% less flight time of 23 minutes with HD video while carrying 20% more "fuel" with 17.28Wh battery energy, as this video shows, .

The reason DJI's drone is much less fuel efficient is because the disk area of our IoT platform is much larger. DJI's 4 4-inch props have a combined 50 square inch area, which can be covered by a single 8 inch prop. Our IoT platform has a 19 inch prop with 280 square inches area, but the straight blades give a sloped wing loading halving the effected area to 140 square inches, equivalent of being covered by a 13.4 inch prop. We can calculate that our IoT platfrom's fuel efficiency is (17.28Wh/0.383h) / (14.4Wh/0.582h) = 45W / 24.7W = 1.82 times that of DJI's efficiency, or 1.68 times considering GPS power consumption of 8% is absent in this IoT build. So, the 140/50=2.8 disk area ratio is roughly the square of fuel economy ratio because 1.68x1.168=2.8. And fuel economy is proportional to prop diameter ratio, 13.4 / 8.0 = 1.68. This is expected Newtonian physics.

The endurance build dives in this video,

## Carbon fiber main shaft

## ESC Build

## Fasteners

## 16 Amp ESC Substitutes

## Further fuel economy optimization

We will optimize toward the first hump because the second hump's efficiency can only be, at best, 70% of the first hump's efficiency. We will not optimize with the thumbnail/front chart of the video because it only optimize the motor electrical input/output power ratio for the second humps, not the overall efficiency.

efficiency is 15.4g/W , 15.4/14.3 = 1.077 , or 7.7% better efficiency

fuel quantity is (80-7)/80 = 0.9125, or 8.8% less fuel

so it actually reduces flight time by about 1.1%

>>> print len

13

>>> print th

6.501

>>> math.sqrt((12*math.cos(math.radians(th))-len*math.cos(math.radians(6)))**2 + (12*math.sin(math.radians(th))+23-len*math.sin(math.radians(6)))**2) - math.sqrt( 23**2 + (len-12)**2 )

3.589681671911649e-05

>>> th = 6.5

>>> math.sqrt((12*math.cos(math.radians(th))-len*math.cos(math.radians(6)))**2 + (12*math.sin(math.radians(th))+23-len*math.sin(math.radians(6)))**2) - math.sqrt( 23**2 + (len-12)**2 )

-0.0001730334889344931

>>> th = 6.5005

>>> math.sqrt((12*math.cos(math.radians(th))-len*math.cos(math.radians(6)))**2 + (12*math.sin(math.radians(th))+23-len*math.sin(math.radians(6)))**2) - math.sqrt( 23**2 + (len-12)**2 )

-6.856830542645298e-05

>>> len = 11

>>> th = 5.5

0.0005539328105257368

>>> th = 5.409

-0.018321437736627644

>>> th = 5.4095

-0.018217716300952702

>>> th = 5.49

-0.0015200932865191419

>>> len = 12

>>> th = 6

0.0

>>> 13 / 12

1

>>> 13 / 12.0

1.0833333333333333

>>> 6.5 / 6.0

1.0833333333333333

>>> 11 / 12.0

0.9166666666666666

>>> 5.5 / 6.0

0.9166666666666666

>>> 13 / 11.0

1.1818181818181819

>>>