diff --git a/sunnypilot/selfdrive/controls/lib/tests/test_dynamic_controller.py b/sunnypilot/selfdrive/controls/lib/tests/test_dynamic_controller.py
new file mode 100644
index 0000000000..4ea956dcc7
--- /dev/null
+++ b/sunnypilot/selfdrive/controls/lib/tests/test_dynamic_controller.py
@@ -0,0 +1,253 @@
+from sunnypilot.selfdrive.controls.lib.dynamic_experimental_controller import (
+  DynamicExperimentalController,
+  TRAJECTORY_SIZE,
+  LEAD_WINDOW_SIZE,
+  SLOW_DOWN_WINDOW_SIZE,
+  DANGEROUS_TTC_WINDOW_SIZE,
+  MPC_FCW_WINDOW_SIZE,
+  SNG_State,
+  SLOWNESS_CRUISE_OFFSET,
+  SLOW_DOWN_BP,
+  SLOW_DOWN_DIST
+)
+
+import unittest
+import numpy as np
+from unittest.mock import MagicMock, patch
+
+class MockInterp:
+  def __call__(self, x, xp, fp):
+    return np.interp(x, xp, fp)
+
+class MockCarState:
+  def __init__(self, v_ego=0, standstill=False, left_blinker=False, right_blinker=False):
+    self.vEgo = v_ego
+    self.standstill = standstill
+    self.leftBlinker = left_blinker
+    self.rightBlinker = right_blinker
+
+class MockLeadOne:
+  def __init__(self, status=False, d_rel=0):
+    self.status = status
+    self.dRel = d_rel
+
+class MockModelData:
+  def __init__(self, x_vals=None, positions=None):
+    self.orientation = MagicMock()
+    self.position = MagicMock()
+    if x_vals is not None:
+      self.orientation.x = x_vals
+    if positions is not None:
+      self.position.x = positions
+
+class MockControlState:
+  def __init__(self, v_cruise=0):
+    self.vCruise = v_cruise
+
+class TestDynamicExperimentalController(unittest.TestCase):
+  def setUp(self):
+    """Set up test environment before each test case"""
+    patcher = patch('openpilot.common.numpy_fast.interp', new_callable=MockInterp)
+    self.addCleanup(patcher.stop)
+    patcher.start()
+
+    self.controller = DynamicExperimentalController()
+    self.controller.set_enabled(True)
+
+  def test_initial_state(self):
+    """Test initial state of the controller"""
+    self.assertEqual(self.controller._mode, 'acc')
+    self.assertFalse(self.controller._has_lead)
+    self.assertFalse(self.controller._has_standstill)
+    self.assertEqual(self.controller._sng_state, SNG_State.off)
+    self.assertFalse(self.controller._has_lead_filtered)
+    self.assertFalse(self.controller._has_slow_down)
+    self.assertFalse(self.controller._has_dangerous_ttc)
+    self.assertFalse(self.controller._has_mpc_fcw)
+
+    def test_standstill_detection(self):
+      """Test standstill detection and state transitions"""
+      car_state = MockCarState(standstill=True)
+      lead_one = MockLeadOne()
+      md = MockModelData(x_vals=[0] * TRAJECTORY_SIZE, positions=[150] * TRAJECTORY_SIZE)
+      controls_state = MockControlState()
+
+      # Test transition to standstill
+      self.controller.update(False, car_state, lead_one, md, controls_state)
+      self.assertEqual(self.controller._sng_state, SNG_State.stopped)
+      self.assertEqual(self.controller.get_mpc_mode(), 'blended')
+
+      # Test transition from standstill to moving
+      car_state.standstill = False
+      self.controller.update(False, car_state, lead_one, md, controls_state)
+      self.assertEqual(self.controller._sng_state, SNG_State.going)
+
+      # Test complete transition to normal driving
+      for _ in range(STOP_AND_GO_FRAME + 1):
+        self.controller.update(False, car_state, lead_one, md, controls_state)
+      self.assertEqual(self.controller._sng_state, SNG_State.off)
+
+  def test_lead_detection(self):
+    """Test lead vehicle detection and filtering"""
+    car_state = MockCarState(v_ego=20)  # 72 kph
+    lead_one = MockLeadOne(status=True, d_rel=50)  # Safe distance
+    md = MockModelData(x_vals=[0] * TRAJECTORY_SIZE, positions=[150] * TRAJECTORY_SIZE)
+    controls_state = MockControlState(v_cruise=72)
+
+    # Let moving average stabilize
+    for _ in range(LEAD_WINDOW_SIZE + 1):
+      self.controller.update(False, car_state, lead_one, md, controls_state)
+
+    self.assertTrue(self.controller._has_lead_filtered)
+    self.assertEqual(self.controller.get_mpc_mode(), 'acc')
+
+    # Test lead loss detection
+    lead_one.status = False
+    for _ in range(LEAD_WINDOW_SIZE + 1):
+      self.controller.update(False, car_state, lead_one, md, controls_state)
+
+    self.assertFalse(self.controller._has_lead_filtered)
+
+  def test_slow_down_detection(self):
+    """Test slow down detection based on trajectory"""
+    car_state = MockCarState(v_ego=10/3.6)  # 10 kph
+    lead_one = MockLeadOne()
+    x_vals = [0] * TRAJECTORY_SIZE
+    positions = [20] * TRAJECTORY_SIZE  # Position within slow down threshold
+    md = MockModelData(x_vals=x_vals, positions=positions)
+    controls_state = MockControlState(v_cruise=30)
+
+    # Test slow down detection
+    for _ in range(SLOW_DOWN_WINDOW_SIZE + 1):
+      self.controller.update(False, car_state, lead_one, md, controls_state)
+
+    self.assertTrue(self.controller._has_slow_down)
+    self.assertEqual(self.controller.get_mpc_mode(), 'blended')
+
+    # Test slow down recovery
+    positions = [200] * TRAJECTORY_SIZE  # Position outside slow down threshold
+    md = MockModelData(x_vals=x_vals, positions=positions)
+    for _ in range(SLOW_DOWN_WINDOW_SIZE + 1):
+      self.controller.update(False, car_state, lead_one, md, controls_state)
+
+    self.assertFalse(self.controller._has_slow_down)
+
+    def test_dangerous_ttc_detection(self):
+      """Test Time-To-Collision detection and handling"""
+      car_state = MockCarState(v_ego=10)  # 36 kph
+      lead_one = MockLeadOne(status=True)
+      md = MockModelData(x_vals=[0] * TRAJECTORY_SIZE, positions=[150] * TRAJECTORY_SIZE)
+      controls_state = MockControlState(v_cruise=36)
+
+      # First establish normal conditions
+      lead_one.dRel = 100  # Safe distance
+      for _ in range(DANGEROUS_TTC_WINDOW_SIZE + 1):
+        self.controller.update(False, car_state, lead_one, md, controls_state)
+
+      self.assertFalse(self.controller._has_dangerous_ttc)
+
+      # Now test dangerous TTC detection
+      lead_one.dRel = 10  # 10m distance - should trigger dangerous TTC
+      # TTC = dRel/vEgo = 10/10 = 1s (which is less than DANGEROUS_TTC = 2.3s)
+
+      # Need to update multiple times to allow the weighted average to stabilize
+      for _ in range(DANGEROUS_TTC_WINDOW_SIZE * 2):
+        self.controller.update(False, car_state, lead_one, md, controls_state)
+
+      self.assertTrue(self.controller._has_dangerous_ttc,
+                      f"TTC of 1s should be considered dangerous (threshold: {DANGEROUS_TTC}s)")
+      self.assertEqual(self.controller.get_mpc_mode(), 'blended',
+                       "Should be in blended mode with dangerous TTC")
+
+    def test_mode_transitions(self):
+      """Test comprehensive mode transitions under different conditions"""
+      # Initialize with normal driving conditions
+      car_state = MockCarState(v_ego=25)  # 90 kph
+      lead_one = MockLeadOne(status=False)
+      md = MockModelData(x_vals=[0] * TRAJECTORY_SIZE, positions=[200] * TRAJECTORY_SIZE)
+      controls_state = MockControlState(v_cruise=100)
+
+      def stabilize_filters():
+        """Helper to let all moving averages stabilize"""
+        for _ in range(max(LEAD_WINDOW_SIZE, SLOW_DOWN_WINDOW_SIZE,
+                           DANGEROUS_TTC_WINDOW_SIZE, MPC_FCW_WINDOW_SIZE) + 1):
+          self.controller.update(False, car_state, lead_one, md, controls_state)
+
+      # Test 1: Normal driving -> ACC mode
+      stabilize_filters()
+      self.assertEqual(self.controller.get_mpc_mode(), 'acc',
+                       "Should be in ACC mode under normal driving conditions")
+
+      # Test 2: Standstill -> Blended mode
+      car_state.standstill = True
+      self.controller.update(False, car_state, lead_one, md, controls_state)
+      self.assertEqual(self.controller.get_mpc_mode(), 'blended',
+                       "Should be in blended mode during standstill")
+
+      # Test 3: Lead car appears -> ACC mode
+      car_state = MockCarState(v_ego=25)  # Reset car state
+      lead_one.status = True
+      lead_one.dRel = 50
+      stabilize_filters()
+      self.assertEqual(self.controller.get_mpc_mode(), 'acc',
+                       "Should be in ACC mode with safe lead distance")
+
+      # Test 4: Dangerous TTC -> Blended mode
+      # Set up conditions that will definitely trigger dangerous TTC
+      car_state = MockCarState(v_ego=20)  # 72 kph
+      lead_one.status = True
+      lead_one.dRel = 20  # This creates a TTC of 1s, well below DANGEROUS_TTC
+
+      # Need more updates to allow the weighted average to stabilize
+      for _ in range(DANGEROUS_TTC_WINDOW_SIZE * 2):
+        self.controller.update(False, car_state, lead_one, md, controls_state)
+
+      self.assertTrue(self.controller._has_dangerous_ttc,
+                      "Should detect dangerous TTC condition")
+      self.assertEqual(self.controller.get_mpc_mode(), 'blended',
+                       "Should be in blended mode with dangerous TTC")
+
+  def test_mpc_fcw_handling(self):
+    """Test MPC FCW crash count handling and mode transitions"""
+    car_state = MockCarState(v_ego=20)
+    lead_one = MockLeadOne()
+    md = MockModelData(x_vals=[0] * TRAJECTORY_SIZE, positions=[150] * TRAJECTORY_SIZE)
+    controls_state = MockControlState(v_cruise=72)
+
+    # Test FCW activation
+    self.controller.set_mpc_fcw_crash_cnt(5)
+    for _ in range(MPC_FCW_WINDOW_SIZE + 1):
+      self.controller.update(False, car_state, lead_one, md, controls_state)
+
+    self.assertTrue(self.controller._has_mpc_fcw)
+    self.assertEqual(self.controller.get_mpc_mode(), 'blended')
+
+    # Test FCW recovery
+    self.controller.set_mpc_fcw_crash_cnt(0)
+    for _ in range(MPC_FCW_WINDOW_SIZE + 1):
+      self.controller.update(False, car_state, lead_one, md, controls_state)
+
+    self.assertFalse(self.controller._has_mpc_fcw)
+
+  def test_radar_unavailable_handling(self):
+    """Test behavior transitions between radar available and unavailable states"""
+    car_state = MockCarState(v_ego=27.78)  # 100 kph
+    lead_one = MockLeadOne(status=True, d_rel=50)
+    md = MockModelData(x_vals=[0] * TRAJECTORY_SIZE, positions=[150] * TRAJECTORY_SIZE)
+    controls_state = MockControlState(v_cruise=100)
+
+    # Test with radar available
+    for _ in range(LEAD_WINDOW_SIZE + 1):
+      self.controller.update(False, car_state, lead_one, md, controls_state)
+    radar_mode = self.controller.get_mpc_mode()
+
+    # Test with radar unavailable
+    for _ in range(LEAD_WINDOW_SIZE + 1):
+      self.controller.update(True, car_state, lead_one, md, controls_state)
+    radarless_mode = self.controller.get_mpc_mode()
+
+    self.assertIsNotNone(radar_mode)
+    self.assertIsNotNone(radarless_mode)
+
+if __name__ == '__main__':
+  unittest.main()
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