Self-driving vehicle with integrated active suspension
A self-driving vehicle with an integrated fully-active suspension system. The fully-active suspension utilizes data from one or more sensors used for autonomous driving (e.g. vision, LIDAR, GPS) in order to anticipate road conditions in advance. The system builds a topographical map of the road surface. Suspension and road data is delivered back to the vehicle in order to change autonomous driving behavior including route planning. Energy storage is regulated based on a planned route. Forward and lateral acceleration feel is mitigated through active pitch and tilt compensation. The fully-active suspension pushes and pulls the suspension in three or more operational quadrants in order to deliver superior ride comfort, handling, and/safety of the vehicle.
1. A self-driving vehicle, comprising:
a plurality of active suspension actuators;
a self-driving vehicle controller that receives information about a destination and is configured to plan a route to reach the destination based on the received information, wherein the self-driving vehicle controller is configured to determine a path of travel of a wheel to be traveled by the wheel during at least a portion of the planned route; and
an active suspension controller that receives information about the path of travel of the wheel from the self-driving vehicle controller, and wherein the active suspension controller controls at least one of the plurality of active suspension actuators based at least partially on the information about the path of travel of the wheel from the self-driving vehicle controller.
2. The self-driving vehicle of claim 1 , wherein the self-driving vehicle controller obtains information about the path of travel of the wheel.
3. The self-driving vehicle of claim 2 , further comprising: a data storage system that includes a map with three-dimensional terrain information, wherein at least a portion of the information obtained by the self-driving vehicle controller about the path of travel of the wheel is data obtained from the map.
4. The self-driving vehicle of claim 3 , wherein the active suspension controller identifies an event located along the path of travel of the wheel based at least partially on the data obtained from the map.
5. The self-driving vehicle of claim 3 , wherein the map is updated by information provided to the self-driving vehicle controller by the active suspension controller.
6. The self-driving vehicle of claim 3 , wherein the map comprises three-dimensional terrain information with a coordinate system that is relative to the vehicle and is dynamically updated.
7. The self-driving vehicle of claim 3 , wherein the map comprises three-dimensional terrain information with an absolute coordinate system related to latitude/longitude coordinates and containing road surface height information.
8. The self-driving vehicle of claim 3 , wherein only a portion of the map is buffered on the data storage system.
9. The self-driving vehicle of claim 3 , wherein at least a portion of the map is transmitted from another vehicle.
10. The self-driving vehicle of claim 3 , wherein the map includes three-dimensional terrain information from a past driving event of the vehicle.
11. The self-driving vehicle of claim 3 , further comprising at least one forward-looking sensor capable of detecting a road condition, wherein at least a portion of the information obtained by the self-driving vehicle controller about the path of travel of the wheel is obtained from the forward looking sensor.
12. The self-driving vehicle of claim 11 , wherein the map is updated based at least on a parameter detected by at least one of the active suspension actuators and the at least one forward-looking sensor.
13. The self-driving vehicle of claim 11 , wherein the at least one forward-looking sensor comprises at least one of a vision, LIDAR, radar, sonar, and IR sensor.
14. The self-driving vehicle of claim 11 , wherein the at least one forward-looking sensor comprises a sensor disposed on a front actuator of the plurality of active suspension actuators.
15. The self-driving vehicle of claim 2 , further comprising a vehicle location sensor, wherein at least a portion of the information obtained by the self-driving vehicle controller about the path of travel of the wheel is obtained from the vehicle location sensor.
16. The self-driving vehicle of claim 15 , wherein the vehicle location sensor is a GPS receiver.
17. The self-driving vehicle of claim 15 , wherein the vehicle location sensor is configured to use at least one of DGPS and WiFi localization.
18. The self-driving vehicle of claim 15 , further comprising at least one relative sensor that detects at least one of relative position and relative movement between the vehicle and the ground, wherein at least a portion of the information obtained by the self-driving vehicle controller about the path of travel of the wheel is obtained from the at least one relative sensor.
19. The self-driving vehicle of claim 18 , wherein the at least one relative sensor is at least one of an IMU, an accelerometer, a speed sensor, a suspension velocity sensor, and a steering angle sensor.
20. The self-driving vehicle of claim 18 , further comprising a sensor fusion system that determines an absolute position of the vehicle using information from the vehicle location sensor and the at least one relative sensor, wherein at least a portion of the information obtained by the self-driving vehicle controller about the path of travel of the wheel is obtained from the sensor fusion system.
21. The self-driving vehicle of claim 20 , wherein the sensor fusion system comprises a Kalman Filter.
22. A method of operating a vehicle, the method comprising:
planning a route of travel for a vehicle with an autonomous controller;
determining a path of travel of a wheel based on the planned route; and
controlling an active suspension actuator based at least partially on the path of travel of the wheel.
23. The method of claim 22 , further comprising obtaining road surface data about the path of travel of the wheel.
24. The method of claim 23 , further comprising obtaining the road surface data from a topographical map.