Interesting chart from yesterday's drives. Did the run up to Dorrigo and back. Twice.
Elevation difference between home and Dorrigo is ~700m.
Chart plots the kWh remaining as reported by the app integration. Dots show when a data sample was taken, which if there is a 4G data signal, occurs about every minute but plenty of time without signal. Lines only connect the dots.
Trip #1 (28 km): Started out with 49.3 kWh and back home with 38.6 kWh.
Total 10.7 kWh (38.2 kWh/100km)
Dropping wife and her wares + tables etc up to Dorrigo (she had a stall at the local markets).
Early morning, dark, head lights required, temperature at home 22°C, 16°C at Dorrigo
Trip #2 (28 km): Started out with 48.1 kWh and back home with 39.0 kWh.
Total 9.1 kWh (32.5 kWh/100km)
Picked up wife and her remaining wares = tables etc from Dorrigo
Early afternoon, temperature at home 26°C, 21°C at Dorrigo
So:
- more weight on the climb on trip #1 than trip #2
- less weight on the descent on trip #1 than trip #2
Accords with the first trip consuming more energy.
Can see the section each trip where the car was recharging during the descent down the mountain.
Given the data sampling the following may or may not be overly accurate but looking at the climb/descent sections only:
Trip #1: Ascent consumed 5.9 kWh, descent recovered 1.8 kWh.
Trip #2: Ascent consumed 4.4 kWh, descent recovered 2.3 kWh.
Shows the difference weight has on ascending energy consumption and descending energy recovery.
Comparing the trips with roughly the same weight (2.3/5.9 and 1.8/4.4), the energy recovery on the descent was 40% of the energy used going up.
Let's do some maths...
Top of the mountain is 762m, base of mountain at Thora 22m, so 740m elevation gain.
Gravitational potential energy (U) = mass x gravitational acceleration rate x elevation gain
U = m.g.h
m = PE/g.h
m = 1500 Wh / (9.8 m/s^2 * 740 m)
m = 206 kg
Not sure how much extra mass we took up. I'd estimate 130kg for wife, tables, bags, chair & wares but I actually don't know. So a bit lost to other things.
The sample frequency of data is not high so take any calculations with a grain of error salt.