Control of a vehicle powertrain

• US 5,656,921 A
• Filed: 05/17/1995
• Issued: 08/12/1997
• Est. Priority Date: 05/24/1994
• Status: Expired due to Fees

• Current Assignee: Bayerische Motoren Werke AG
• Original Assignee: Rover Group Limited (Techtronic 2000 Plc)
• Inventors: Farrall, Simon David
• Primary Examiner(s): Stephan, Steven L.
• Assistant Examiner(s): Ponomarenko, Nicholas
• Application Number:
  US08/443,583
• Time in Patent Office: 818 Days
• Field of Search: 322/9, 180/65.2, 180/165, 290/16, 60/716, 60/718
• US Class Current: 322/40
• CPC Class Codes: B60K 6/48 Parallel type
• CPC Class Codes: B60L 15/2045 for optimising the use of energy
• CPC Class Codes: B60L 2260/42 by adaptive correction
• CPC Class Codes: B60L 2260/48 by fuzzy logic
• CPC Class Codes: B60L 50/10 using propulsion power supplied by engine-driven generators, e.g. generators driven by combustion engines
• CPC Class Codes: B60L 50/15 with additional electric power supply with capacitors charged by engine-driven generators B60L50/40; with batteries charged by engine-driven generators B60L50/61
• 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 20/00 Control systems specially adapted for hybrid vehicles hybrid vehicle design, B60K6/00; electric vehicles B60L
• CPC Class Codes: B60W 20/11 using model predictive control [MPC] strategies, i.e. control methods based on models predicting performance utilising navigation and traffic information in the control strategy B60W20/12
• CPC Class Codes: B60W 2510/244 Charge state
• CPC Class Codes: B60W 30/188 Controlling power parameters of the driveline, e.g. determining the required power
• CPC Class Codes: Y02T 10/62 Hybrid vehicles
• CPC Class Codes: Y02T 10/64 Electric machine technologies in electromobility
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/7072 Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• CPC Class Codes: Y02T 10/72 Electric energy management in electromobility

Abstract

A controller 20 for a vehicle powertrain, the powertrain comprising an electric motor 16 powered by a battery and an engine 14 powered by fossil fuel. The engine 14 is typically an internal combustion petrol engine. The controller 20 is operative to use maps stored in memory to control the torque contributions from the engine and the motor so as to maintain a desired relationship between the contributions of the electric motor 16 and the engine 14 towards the powering of the vehicle, and the controller is adaptive in that it is arranged to adapt said maps by altering one or more values stored therein to obtain a desired relationship.

Claims

1. A method of controlling a powertrain of a hybrid electric vehicle, the powertrain including an electric motor and an internal combustion engine which supply torque in varying contributions to a transmission, the method comprising the steps of:

a) providing a fuzzy controller utilizing fuzzy logic operating means comprising fuzzy rules;

b) representing a fuel flow rate controlling output and a motor current controlling output as a function of a drive demand input signal and a powertrain speed input signal;

c) using said fuzzy rules to relate the drive demand input signal and the powertrain speed input signal to said outputs;

d) defining a set of input reference points for each input signal which varies over time, said sets together forming an input reference grid;

e) defining an output map over the input reference grid, said map relating each output value to the input values, interpolating within the output map using the input reference grid to obtain an actual output value corresponding to a pair of actual input values;

f) distinguishing driving points in the input reference grid which have a greater effect in powertrain performance, from following points in the input reference grid which have a lesser effect on powertrain performance;

g) adjusting the values in the output map corresponding to the driving points in the input reference map;

h) adjusting the values in the output map corresponding to the following points in the input reference map in order to obtain a desired relationship between said contributions;

i) replacing the actual output value with an altered value corresponding to the adjusted values in steps g) and h).

2. A method according to claim 1 including the steps of providing an array of counters of the same dimension as the input reference grid, and distinguishing the points in the input reference grid as either driving or following points by the following steps:

a) setting each of the counters in the array of counters to zero;

b) monitoring actual input values of the drive demand input signal and powertrain speed input signal;

c) determining the nearest point in the input reference grid to the actual input values;

d) incrementing the counter corresponding to the point determined in step c) above in the array of counters by one for each of the given sampling periods of time that this remains the nearest point to the actual input values;

e) repeating the steps b) and d) for an adaptation interval period of time;

f) defining as driving points those points whose corresponding counters have a value greater or equal to a threshold and all other points as following points;

g) adapting the points in the output maps corresponding to the driving points to modifying the powertrain performance towards the desired powertrain performance and to ensure that the powertrain output torque corresponding to any given value of drive demand and powertrain speed remains substantially constant throughout the process of the controller modification; and

h) adapting all the points in the output maps to ensure that as the drive demand and powertrain input speed vary the actions of the engine and the motor vary in a manner that is substantially smooth.

3. A controller for a powertrain where the powertrain comprises a transmission, an internal combustion engine and an electric motor, where the engine and the motor supply torque in a varying contribution to the transmission, a battery providing an energy resource for the electric motor and a fuel supply providing an energy resource for the internal combustion engine;

the controller comprising a measuring means for measuring the ratio in which the fuel supply and the battery are used; and

a memory having a plurality of stored maps comprising a plurality of values stored therein with at least one value obtained from the measuring means;

wherein the controller can adapt the maps by updating one or more of the plurality of stored values with one or more altered values to reach a desired relationship between the contributions and then replacing said one or more stored values with said altered values.

4. A controller according to claim 3, wherein the controller is a fuzzy controller operating by means of fuzzy logic to control said contributions.

5. A controller according to claim 4, wherein the controller controls the engine by means of throttle position.

6. A controller according to claim 5, wherein the controller controls the motor by means of the motor current.

7. A controller according to claim 3, wherein the controller is a fuzzy controller which comprises fuzzy rules, the rules relate a drive demand input signal and a powertrain speed input signal to at least one output signal, where the output signal acts to control the contributions.

8. A controller according to claim 7, wherein a set of input reference points is defined for each input over the range over which that varies, said sets together forming an input reference grid.

9. A controller according to claim 3, wherein the measuring means includes smoothing means.

10. A controller according to claim 9, wherein the smoothing means utilises a moving average.

11. A controller according to claim 3, wherein the relative contributions of each of the motor and engine to the powertrain output may be adjusted.

12. A controller according to claim 3 including replenishment means for replenishing the state of charge of the electrical power means with energy supplied by the engine.

13. A controller according to claim 3, wherein the relationship is a ratio between a total energy contribution of the engine and the motor over a particular route.

14. A controller according to claim 3, wherein the relationship is chosen to produce a predetermined depth of discharge of the battery before recharging.

15. A controller according to claim 3, wherein the relationship is between the ratio of the torque contributions and one or more independent variables.

16. A controller according to claim 15, wherein one of the independent variables is the position of an accelerator of the vehicle.

17. A controller according to claim 15, wherein one of the independent variables is the speed of the engine.

18. A controller according to claim 15, wherein the controller adapts the maps so that the relationship between the contributions approximates a smooth curve resulting in efficient driving.

19. A fuzzy logic controller for a powertrain where the powertrain comprises a transmission, an internal combustion engine and an electric motor, where the engine and the motor supply torque in varying contributions to the transmission, a battery providing an energy resource for the electric motor and a fuel supply providing an energy resource for the internal combustion engine;

the controller, operating by means of fuzzy logic, comprising a measuring means for measuring the ratio in which the fuel supply and the battery are used;

a memory having a plurality of stored maps comprising a plurality of values stored therein with at least one value obtained from the measuring means;

a plurality of fuzzy rules, for use within the fuzzy logic, which relate a drive demand input signal and a powertrain speed input signal to at least one output signal where the output signal acts to control the contributions; and

a set of input reference points defined for each input signal which varies over time, said sets together forming an input reference grid;

wherein said fuzzy rules are combined in such a way that an output map having output values is defined over the input reference grid, said map relating each output value to the input signals with an actual output value, corresponding to a pair of actual input signals, being found by interpolation within the output map using the input reference grid;

and the controller can adapt the maps by updating one or more of the plurality of stored values with one or more altered values, while maintaining a constant output torque, to reach a desired relationship between the contributions and then replacing the one or more stored values with said altered values.

20. A controller according to claim 19, wherein the measuring means includes an array of counters of the same dimension as the input reference grid, each counter in the array being arranged to count the number of occurrences that the corresponding input reference point is the closest point on the input reference grid to the actual input values, said occurrences being a given sampling period of time apart.

21. A method of controlling the powertrain of a hybrid electric vehicle, the powertrain having a transmission, an internal combustion engine and an electric motor which supply torque in a varying contributions to the transmission, a battery providing an energy resource for the electric motor and a fuel supply providing an energy resource for the internal combustion engine, the method comprising the steps of:

a) defining a desired relationship between the contributions of the motor and the engine;

b) measuring the ratio in which the fuel supply and the battery are used by the steps of;

(i) defining a performance measurement function in terms of said battery current and said fuel flow rates;

(ii) measuring an instantaneous value of said battery current;

(iii) measuring an instantaneous value of said fuel flow rate;

(iv) combining said instantaneous values using said performance measurement function to obtain an instantaneous value of said performance measurement function;

(v) repeating steps (ii), (iii) and (iv) to produce a number of instantaneous values of said function; and

(vi) combining the instantaneous values of said function to produce a moving average value of said function;

c) providing a controller to interpret and adjust the measured ratio with the aid of a plurality of stored maps, each stored map having a plurality of values stored therein; and

d) adapting the maps by updating one or more of the plurality of values stored therein with one or more altered values to obtain a desired relationship between the contributions and then replacing the one or more stored values with said altered values.

22. A method according to claim 21 wherein the performance measurement function is defined by the following equation:

space="preserve" listing-type="equation">F=I.sub.bat /(k.sub.e m.sub.f)

in which I_bat is the battery current, m_f is the fuel flow rate and k_e is a constant that defines the equivalence of fuel and electrical energy.

23. A method according to claim 21, wherein the moving average value of the performance measurement function is updated using the following equation:

space="preserve" listing-type="equation">F.sub.n =F.sub.n-1 (v-1)/v+F(1/v)

where F_n is the moving average value of the performance measurement function, F, at time index n, the parameter v being operative for adjustment of the rate at which the moving average value of the performance measurement function is influenced by new information.

24. A method of controlling the powertrain of a hybrid electric vehicle, the powertrain having a transmission, an internal combustion engine and an electric motor which supply torque in varying contributions to the transmission, a battery providing an energy resource for the electric motor and a fuel supply providing an energy resource for the internal combustion engine, the method comprising the steps of:

a) defining a desired relationship between the contributions of the motor and the engine;

b) measuring the ratio in which the fuel supply and the battery are used by observing a fuel flow rate to the internal combustion engine and a battery current to the electric motor;

c) providing a controller to interpret and adjust the measured ratio with the aid of more than one stored maps, each stored map having a plurality of values stored therein; and

d) adapting the maps by updating one or more of the plurality of values stored therein with one or more altered values to obtain a desired relationship between the contributions and then replacing the one or more stored values with said altered values.