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Split Tune
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@@ -27,10 +27,22 @@ CAM_MSG = 0x320 # AEBCmd
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ACCELERATOR_POS_MSG = 0xbe
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NON_LINEAR_TORQUE_PARAMS = {
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CAR.CHEVROLET_BOLT_EUV: [1.8, 1.1, 0.27, 0.0],
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CAR.CHEVROLET_BOLT_CC: [1.8, 1.1, 0.27, 0.0],
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CAR.GMC_ACADIA: [4.78003305, 1.0, 0.3122, 0.05591772],
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CAR.CHEVROLET_SILVERADO: [3.29974374, 1.0, 0.25571356, 0.0465122]
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CAR.CHEVROLET_BOLT_EUV: {
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"left": [1.8, 1.1, 0.27, 0.0],
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"right": [1.8, 1.0, 0.225, 0.0],
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},
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CAR.CHEVROLET_BOLT_CC: {
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"left": [1.8, 1.1, 0.27, 0.0],
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"right": [1.8, 1.0, 0.225, 0.0],
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},
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CAR.GMC_ACADIA: {
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"left": [4.78003305, 1.0, 0.3122, 0.05591772],
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"right": [4.78003305, 1.0, 0.3122, 0.05591772],
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},
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CAR.CHEVROLET_SILVERADO: {
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"left": [3.29974374, 1.0, 0.25571356, 0.0465122],
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"right": [3.29974374, 1.0, 0.25571356, 0.0465122],
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},
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}
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@@ -60,7 +72,9 @@ class CarInterface(CarInterfaceBase):
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# This has big effect on the stability about 0 (noise when going straight)
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non_linear_torque_params = NON_LINEAR_TORQUE_PARAMS.get(self.CP.carFingerprint)
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assert non_linear_torque_params, "The params are not defined"
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a, b, c, d = non_linear_torque_params
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# Left is positive
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side_key = "left" if lateral_acceleration >= 0 else "right"
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a, b, c, d = non_linear_torque_params[side_key]
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sig_input = a * lateral_acceleration
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sig = np.sign(sig_input) * (1 / (1 + exp(-fabs(sig_input))) - 0.5)
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steer_torque = (sig * b) + (lateral_acceleration * c) + d
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