Introduction
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Parameters
v
: (float) final velocity of the car to accelerate to, (m/s)vwind
: (float) velocity of the wind relative to the car, (m/s)v_old
: (float) initial velocity of the car, (m/s)theta
: (float) angle that must be climbed (radians) personally don’t understand why “climb” matters and not just angle of elevationtimestep
: (float) Time between measurements, (s)usually calculated
dist / ((v + old_v)/2)
,dist
being the distance between two points in elevation profile,e_profile
.
Returns
Fmotor
: (float) Force of motors required to accelerate to a certain velocity in a certain time (N)
Note
If
v
orv_old
greater than maximum speed or less than minimum speed, it is caught in the function and whatever is out of bounds is set to maximum speed or minimum speedFfric
,Fdrag
,Fg
,Fa
, and ultimatelyFmotor
to be all calculated inside the function, using parameters and constants
...
Parameters
v_profile
: (float list) A list of the same dimensions length as thee_profile
with each element representing the average velocity (m/s) required for the car to move at each point on thee_profile
e_profile
: (Numbers) velocity of the wind relative to the car, (m/s, 2D float list)Each row represents a section of a course
column 0: the pitch/slope/steepness of the section (rad)
column 1: the length/distance of the section (m)
distance
: (Numbersfloat) initial velocity of the car, distance of each section (m/s)we never use this, as we have length of each sections already stored in e_profile. Useless parameter?
Returns
Fmotor
energy
: (Numbers) Force of motors required to accelerate to a certain velocity in a certain time (Nfloat) Total energy used if the entire v_profile was to be followed (J)
Note
If
v
orv_old
greater than maximum speed or less than minimum speed, it is caught in the function and whatever is out of bounds is set to maximum speed or minimum speedFfric
,Fdrag
,Fg
,Fa
, and ultimatelyFmotor
to be all calculated inside the function, using parameters and constants .Error if the length of
v_profile
ande_profile
do not matchIn the objective function (shown below) that we are trying to minimize, it basically returns the value of
energy_used()
function. Thus in Optimizer we are trying to minimize the return value ofenergy_used()
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