Comments (3)
Hello @dfamonteiro !
Energy limits are coming along. The code is ready and two tests (one for engine limit, and other for tire limits) were added to the continuous integration, but it is not still included into the python world. I just found it slows down things (a laptime is roughly 3 times slower). I will investigate this in the future, but for the time being I will live with it. (It does not affect the performance without energy limits.)
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Hello! Noted. This is a super interesting addition. Thanks!
from fastest-lap.
Done! Find an example here
You can use:
engine-energy
tire-fl-energy
tire-fr-energy
tire-rl-energy
tire-rr-energy
I first run a lap without limits, to see the maximum energy the car can perform. Then run a second lap applying the desired limits. For engine-energy
simulations, the parameter vehicle/rear-axle/smooth_throttle_coeff
must be 1.0e-2
, otherwise the simulation will not converge. This does not destroy the accuracy anyhow, since the default parameter 1.0e-5
was super low already (see this paper)
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Related Issues (20)
- Can't loop simulations HOT 2
- Create vehicle from XML database: check that there are not unused parameters HOT 9
- Windows: thrown exceptions error message is missing.
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- Accelerations are not optimal laptime outputs HOT 1
- Enhance exception verbosity to Xml_document and Xml_element
- libfastestlapc: new functionality: export output names
- KERS implementation
- Python bindings for vehicle_get_property
- libfastestlapc: unify delete_variable, delete_variables_by_prefix, and delete_variables
- Project Compilation on Windows HOT 3
- Failing to run cmake during installation HOT 6
- Circuit preprocessor: automate computation of the number of full rotations of the car after a lap
- fastest-lap v0.5 for windows runtime issue HOT 19
- 1-simple lap errors HOT 2
- ModuleNotFound HOT 1
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