Battery state of charge control with preview information classification

• US 9,616,879 B2
• Filed: 05/14/2015
• Issued: 04/11/2017
• Est. Priority Date: 05/14/2015
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Zhao, Yanan, Liang, Wei
• Primary Examiner(s): BUTLER, RODNEY ALLEN
• Application Number:
  US14/712,351
• Publication Number:
  US 20160332616A1
• Time in Patent Office: 698 Days
• CPC Class Codes: B60L 58/13 Maintaining the SoC within a determined range
• CPC Class Codes: B60W 10/06 including control of combustion engines
• CPC Class Codes: B60W 10/08 including control of electric propulsion units, e.g. motors or generators
• CPC Class Codes: B60W 20/12 using control strategies taking into account route information estimation or calculation of non-directly measurable driving parameters B60W40/00
• CPC Class Codes: B60W 20/13 in order to stay within battery power input or output limits; in order to prevent overcharging or battery depletion
• CPC Class Codes: B60W 2510/244 Charge state
• CPC Class Codes: B60W 2552/15 Road slope, i.e. the inclination of a road segment in the longitudinal direction
• CPC Class Codes: B60W 2552/20 Road profile, i.e. the change in elevation or curvature of a plurality of continuous road segments
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 2710/244 Charge state
• CPC Class Codes: B60W 50/0097 Predicting future conditions
• CPC Class Codes: Y02T 10/62 Hybrid vehicles
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y10S 903/907 Electricity storage, e.g. battery, capacitor

Abstract

In a vehicle, a controller divides a route into route segments. The controller operates a traction battery over the route segments to achieve a target state of charge upon completion of one of the route segments. The target state of charge is based on a target battery power defined by a classification for each of the route segments including the one of the route segments according to a set of fuzzy rules applied to vehicle acceleration and road grade associated with the route segments. Fuzzy rules may be applied to the classification for each of the route segments.

Claims

1. A vehicle comprising:

at least one controller programmed to operate a traction battery to achieve upon completion of a present route segment a target state of charge that is based on a target battery power defined by a classification for a plurality of route segments including the present route segment that results from application of a set of fuzzy rules to vehicle acceleration and road grade associated with the route segments.

2. The vehicle of claim 1 wherein the target battery power is based on a second set of fuzzy rules applied to the classification for each of the route segments.

3. The vehicle of claim 1 wherein the target battery power is based on a predetermined table that is indexed by the classification for each of the route segments.

4. The vehicle of claim 1 wherein the vehicle acceleration is an average vehicle acceleration for each of the route segments and the road grade is an average road grade for each of the route segments.

5. The vehicle of claim 1 wherein the target state of charge is further based on a present state of charge of the traction battery and a duration of the present route segment.

6. The vehicle of claim 1 wherein each of the route segments is mapped to a single classification selected from a plurality of possible classifications.

7. The vehicle of claim 1 wherein each of the route segments is a portion of a route characterized by one or more of a powertrain operating mode, the vehicle acceleration, and the road grade associated with the route segments.

8. The vehicle of claim 1 wherein the plurality of route segments is a number X and route segment X is a virtual segment that includes route data for a remainder of a route such that the target battery power is further defined by the classification for the virtual segment.

9. The vehicle of claim 8 wherein the vehicle acceleration and road grade associated with the segment X are a weighted average vehicle acceleration for the remainder of the route and a weighted average road grade for the remainder of the route.

10. A method comprising:

generating, by a controller, a classification for a plurality of route segments based on a set of fuzzy rules applied to vehicle acceleration and road grade for each of the route segments; and

operating, by the controller, a traction battery over a present route segment to achieve upon completion of the present route segment a target state of charge derived from a target battery power that is based on the classification.

11. The method of claim 10 further comprising generating, by the controller, the target battery power based on a second set of fuzzy rules applied to the classification for the route segments.

12. The method of claim 10 further comprising commanding, by the controller, an electric machine and an engine based on the target state of charge and a present state of charge to operate the traction battery.

13. The method of claim 10 wherein the plurality of segments is a number X and route segment X is a virtual segment that includes route data for a remainder of a route such that the target battery power is further defined by the classification for the virtual segment.

14. The method of claim 13 wherein the vehicle acceleration and road grade associated with the segment X are a weighted average vehicle acceleration for the remainder of the route and a weighted average road grade for the remainder of the route.

15. A vehicle comprising:

at least one controller programmed to operate a traction battery to achieve upon completion of a present route segment a target state of charge that is based on a target battery power defined by a classification for a plurality of route segments including the present route segment that results from application of a set of fuzzy rules to wheel power demand and road grade associated with the route segments.

16. The vehicle of claim 15 wherein the plurality of segments is a number X and route segment X is a virtual segment that includes route data for a remainder of a route such that the target battery power is further defined by the classification for the virtual segment.

17. The vehicle of claim 16 wherein the wheel power demand and road grade associated with the segment X are a weighted average wheel power demand for the remainder of the route and a weighted average road grade for the remainder of the route.

18. The vehicle of claim 15 wherein the target battery power is based on a second set of fuzzy rules applied to the classification for each of the route segments.

19. The vehicle of claim 15 further comprising a navigation module in communication with the at least one controller, wherein the at least one controller is further programmed to receive route information from the navigation module and derive the route segments from the route information.

20. The vehicle of claim 15 wherein the wheel power demand is an average wheel power demand over each of the route segments and the road grade is an average road grade over each of the route segments.