GM: Chevy Equinox 2019-22 (#25431)

* Chevy Equinox Port

* LKAS is not standard on 2019, but it's the same package as ACC. (LKAS standard 2020+)

* 2019 here too

* clean up

* add to untested

* not in docs

Co-authored-by: Shane Smiskol <shane@smiskol.com>
old-commit-hash: 1aa8c0525e
taco
Jason Shuler 3 years ago committed by GitHub
parent bf5e07cf23
commit c1fa914af8
  1. 10
      selfdrive/car/gm/interface.py
  2. 8
      selfdrive/car/gm/values.py
  3. 1
      selfdrive/car/tests/routes.py
  4. 1
      selfdrive/car/torque_data/override.yaml

@ -71,7 +71,7 @@ class CarInterface(CarInterfaceBase):
# These cars have been put into dashcam only due to both a lack of users and test coverage.
# These cars likely still work fine. Once a user confirms each car works and a test route is
# added to selfdrive/car/tests/routes.py, we can remove it from this list.
ret.dashcamOnly = candidate in {CAR.CADILLAC_ATS, CAR.HOLDEN_ASTRA, CAR.MALIBU, CAR.BUICK_REGAL}
ret.dashcamOnly = candidate in {CAR.CADILLAC_ATS, CAR.HOLDEN_ASTRA, CAR.MALIBU, CAR.BUICK_REGAL, CAR.EQUINOX}
# Start with a baseline tuning for all GM vehicles. Override tuning as needed in each model section below.
ret.minSteerSpeed = 10 * CV.KPH_TO_MS
@ -170,6 +170,14 @@ class CarInterface(CarInterfaceBase):
tire_stiffness_factor = 1.0
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)
elif candidate == CAR.EQUINOX:
ret.minEnableSpeed = -1
ret.mass = 3500. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.72
ret.steerRatio = 14.4
ret.centerToFront = ret.wheelbase * 0.4
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)

@ -60,6 +60,7 @@ class CAR:
ESCALADE_ESV = "CADILLAC ESCALADE ESV 2016"
BOLT_EUV = "CHEVROLET BOLT EUV 2022"
SILVERADO = "CHEVROLET SILVERADO 1500 2020"
EQUINOX = "CHEVROLET EQUINOX 2019"
class Footnote(Enum):
@ -89,6 +90,7 @@ CAR_INFO: Dict[str, Union[GMCarInfo, List[GMCarInfo]]] = {
GMCarInfo("Chevrolet Silverado 1500 2020-21", "Safety Package II", footnotes=[], harness=Harness.gm),
GMCarInfo("GMC Sierra 1500 2020-21", "Driver Alert Package II", footnotes=[], harness=Harness.gm),
],
CAR.EQUINOX: GMCarInfo("Chevrolet Equinox 2019-22", "Adaptive Cruise Control (ACC)", footnotes=[], harness=Harness.gm),
}
@ -166,6 +168,10 @@ FINGERPRINTS = {
{
190: 6, 193: 8, 197: 8, 201: 8, 208: 8, 209: 7, 211: 2, 241: 6, 249: 8, 257: 8, 288: 5, 289: 8, 298: 8, 304: 3, 309: 8, 311: 8, 313: 8, 320: 4, 322: 7, 328: 1, 352: 5, 381: 8, 384: 4, 386: 8, 388: 8, 413: 8, 451: 8, 452: 8, 453: 6, 455: 7, 460: 5, 463: 3, 479: 3, 481: 7, 485: 8, 489: 8, 497: 8, 500: 6, 501: 8, 528: 5, 532: 6, 534: 2, 560: 8, 562: 8, 563: 5, 565: 5, 608: 8, 609: 6, 610: 6, 611: 6, 612: 8, 613: 8, 707: 8, 715: 8, 717: 5, 761: 7, 789: 5, 800: 6, 801: 8, 810: 8, 840: 5, 842: 5, 844: 8, 848: 4, 869: 4, 880: 6, 977: 8, 1001: 8, 1011: 6, 1017: 8, 1020: 8, 1033: 7, 1034: 7, 1217: 8, 1221: 5, 1233: 8, 1249: 8, 1259: 8, 1261: 7, 1263: 4, 1265: 8, 1267: 1, 1271: 8, 1280: 4, 1296: 4, 1300: 8, 1930: 7
}],
CAR.EQUINOX: [
{
190: 6, 193: 8, 197: 8, 201: 8, 209: 7, 211: 2, 241: 6, 249: 8, 257: 8, 288: 5, 289: 8, 298: 8, 304: 1, 309: 8, 311: 8, 313: 8, 320: 3, 328: 1, 352: 5, 381: 8, 384: 4, 386: 8, 388: 8, 413: 8, 451: 8, 452: 8, 453: 6, 455: 7, 463: 3, 479: 3, 481: 7, 485: 8, 489: 8, 497: 8, 500: 6, 501: 8, 510: 8, 528: 5, 532: 6, 560: 8, 562: 8, 563: 5, 565: 5, 608: 8, 609: 6, 610: 6, 611: 6, 612: 8, 613: 8, 707: 8, 715: 8, 717: 5, 753: 5, 761: 7, 789: 5, 800: 6, 810: 8, 840: 5, 842: 5, 844: 8, 869: 4, 880: 6, 977: 8, 1001: 8, 1011: 6, 1017: 8, 1020: 8, 1033: 7, 1034: 7, 1217: 8, 1221: 5, 1233: 8, 1249: 8, 1259: 8, 1261: 7, 1263: 4, 1265: 8, 1267: 1, 1271: 8, 1280: 4, 1296: 4, 1300: 8, 1930: 7
}],
}
DBC: Dict[str, Dict[str, str]] = defaultdict(lambda: dbc_dict('gm_global_a_powertrain_generated', 'gm_global_a_object', chassis_dbc='gm_global_a_chassis'))
@ -173,6 +179,6 @@ DBC: Dict[str, Dict[str, str]] = defaultdict(lambda: dbc_dict('gm_global_a_power
EV_CAR = {CAR.VOLT, CAR.BOLT_EUV}
# We're integrated at the camera with VOACC on these cars (instead of ASCM w/ OBD-II harness)
CAMERA_ACC_CAR = {CAR.BOLT_EUV, CAR.SILVERADO}
CAMERA_ACC_CAR = {CAR.BOLT_EUV, CAR.SILVERADO, CAR.EQUINOX}
STEER_THRESHOLD = 1.0

@ -21,6 +21,7 @@ non_tested_cars = [
GM.CADILLAC_ATS,
GM.HOLDEN_ASTRA,
GM.MALIBU,
GM.EQUINOX,
HYUNDAI.ELANTRA_GT_I30,
HYUNDAI.GENESIS_G90,
HYUNDAI.KIA_OPTIMA_H,

@ -27,6 +27,7 @@ RAM HD 5TH GEN: [1.4, 1.4, 0.0]
SUBARU OUTBACK 6TH GEN: [2.3, 2.3, 0.11]
CHEVROLET BOLT EUV 2022: [2.0, 2.0, 0.05]
CHEVROLET SILVERADO 1500 2020: [1.9, 1.9, 0.112]
CHEVROLET EQUINOX 2019: [2.0, 2.0, 0.05]
VOLKSWAGEN PASSAT NMS: [2.5, 2.5, 0.1]
HYUNDAI TUCSON HYBRID 4TH GEN: [2.5, 2.5, 0.0]

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