Control system for hybrid vehicle

• US 5,929,608 A
• Filed: 08/01/1997
• Issued: 07/27/1999
• Est. Priority Date: 08/02/1996
• Status: Expired due to Fees

• Current Assignee: Honda Giken Kogyo Kabushiki Kaisha (Honda Motor Company)
• Original Assignee: Honda Giken Kogyo Kabushiki Kaisha (Honda Motor Company)
• Inventors: Kiuchi, Takeo, Ibaraki, Shigeru
• Primary Examiner(s): Dougherty, Thomas M.
• Assistant Examiner(s): Ponomarenko, Nicholas
• Application Number:
  US08/905,170
• Time in Patent Office: 725 Days
• Field of Search: 322/16, 322/22, 322/25, 322/29, 290/9, 290/11, 290/45, 180/65.5, 318/139, 318/147
• US Class Current: 322/16
• CPC Class Codes: B60K 6/485 Motor-assist type
• CPC Class Codes: B60K 6/54 Transmission for changing ratio
• CPC Class Codes: B60L 2260/26 Transition between different drive modes
• CPC Class Codes: B60L 2260/48 by fuzzy logic
• 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 10/08 including control of electric propulsion units, e.g. motors or generators
• CPC Class Codes: B60W 10/26 for electrical energy, e.g. batteries or capacitors
• CPC Class Codes: B60W 20/00 Control systems specially adapted for hybrid vehicles hybrid vehicle design, B60K6/00; electric vehicles B60L
• 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: Y02T 10/7072 Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• CPC Class Codes: Y10S 903/903 having energy storing means, e.g. battery, capacitor
• CPC Class Codes: Y10S 903/906 Motor or generator
• CPC Class Codes: Y10S 903/917 with transmission for changing gear ratio

Abstract

A hybrid vehicle includes an engine for producing propulsive forces, an electric motor for selectively generating assistive drive forces in addition to the propulsive forces and generating electric energy converted from the propulsive forces, and an energy storage unit for selectively supplying electric energy to the electric motor and storing electric energy converted by the electric motor. A control system for the hybrid vehicle has an idling state detecting unit for detecting an idling state of the engine, a rotational speed variation detector for detecting a rotational speed variation of the engine in the idling state of the engine, a memory for storing a plurality of fuzzy rules and membership functions to determine an operating state of the motor to suppress the rotational speed variation of the engine from the rotational speed variation of the engine according to a fuzzy inference process, a goodness-of-fit calculator for determining respective goodnesses of fit of the fuzzy rules based on the membership functions from the rotational speed variation of the engine in the idling state of the engine, a goodness-of-fit combiner for combining the goodnesses of fit as determined by the goodness-of-fit calculator to determine an operating state of the motor, a motor controller for controlling the electric motor based on the operating state of the motor as determined by the goodness-of-fit combiner.

Claims

1. A control system in a hybrid vehicle having an engine for producing propulsive forces, an electric motor for selectively assisting drive forces in addition to the propulsive forces and generating electric energy converted from the propulsive forces, and an energy storage unit for selectively supplying electric energy to the electric motor and storing electric energy converted by the electric motor, comprising:

idling state detecting means for detecting an idling state of the engine;

rotational speed variation detecting means for detecting a rotational speed variation of the engine in the idling state of the engine;

fuzzy inference memory means for storing a plurality of fuzzy rules and membership functions to determine an operating state of the electric motor to suppress the rotational speed variation of the engine from said detected rotational speed variation of the engine according to a fuzzy inference process;

goodness-of-fit calculating means for determining respective goodnesses of fit of said fuzzy rules based on said membership functions from the rotational speed variation of the engine as detected by said rotational speed variation detecting means in the idling state of the engine as detected by said idling state detecting means;

goodness-of-fit combining means for combining the goodnesses of fit as determined by said goodness-of-fit calculating means to determine an operating state of the electric motor; and

motor control means for controlling the electric motor based on the operating state of the electric motor as determined by said goodness-of-fit combining means.

2. A control system according to claim 1, wherein said idling state detecting means comprises:

throttle-valve-state detecting means for detecting an opening of a throttle valve of the engine or a rate of change of the opening thereof; and

vehicle speed detecting means for detecting a vehicle speed of the hybrid vehicle;

whereby the idling state of said engine is detected from the opening of the throttle valve or the rate of change of the opening thereof as detected by said throttle-valve-state detecting means and the vehicle speed as detected by said vehicle speed detecting means.

3. A control system according to claim 1 or 2, wherein said fuzzy rules include:

fuzzy rules for increasing the electric energy generated by said electric motor as the rotational speed variation of the engine as detected by said rotational speed variation detecting means is larger when the rotational speed variation of the engine as detected by said rotational speed variation detecting means represents an increase in the rotational speed of the engine; and

fuzzy rules for increasing the assistive drive forces generated by said electric motor as the rotational speed variation of the engine as detected by said rotational speed variation detecting means is larger when the rotational speed variation of the engine as detected by said rotational speed variation detecting means represents a decrease in the rotational speed of the engine.

4. A control system according to claim 1 or 2, further comprising stored energy detecting means for detecting an amount of stored energy of said energy storage unit, wherein said fuzzy rules and said membership functions stored in said fuzzy inference memory means include fuzzy rules and membership functions for determining the operating state of the electric motor corresponding to the detected amount of stored energy, and wherein said goodness-of-fit calculating means comprises means for determining the goodnesses of fit of said fuzzy rules based on said membership functions from the rotational speed variation of the engine as detected by said rotational speed variation detecting means and the amount of stored energy of said energy storage unit as detected by said stored energy detecting means, in the idling state of the engine.

5. A control system according to claim 4, wherein the fuzzy rules stored in said fuzzy inference memory means so as to correspond to the amount of stored energy of said energy storage unit include fuzzy rules for reducing at least the assistive drive forces generated by said electric motor when the amount of stored energy of said energy storage unit is small.

6. A control system according to claim 4, wherein the fuzzy rules stored in said fuzzy inference memory means so as to correspond to the amount of stored energy of said energy storage unit include fuzzy rules for reducing at least the electric energy generated by said electric motor when the amount of stored energy of said energy storage unit is large.

7. A control system in a hybrid vehicle having an engine for producing propulsive forces, an electric motor for selectively generating assistive drive forces in addition to the propulsive forces and electric energy converted from the propulsive forces or regenerative braking of the hybrid vehicle, and an energy storage unit for selectively supplying electric energy to the electric motor and storing electric energy converted by the electric motor, comprising:

idling state detecting means for detecting an idling state of the engine;

rotational speed variation detecting means for detecting a rotational speed variation of the engine in the idling state of the engine;

fuzzy inference memory means for storing a plurality of fuzzy rules and membership functions relating to the rotational speed variation of the engine in the idling state;

fuzzy inference processing means for calculating a desired operating state for the electric motor for providing an assistive drive force or an electrical energy generation based on said detected rotational speed variation in the idling state for increasing or decreasing, respectively, the rotational speed of the engine by using said fuzzy rules and membership functions stored in said fuzzy inference memory means; and

motor control means for controlling the electric motor based on said desired operating state of the electric motor as calculated by said fuzzy inference processing means.

8. A control system according to claim 7, wherein said idling state detecting means comprises:

throttle-valve-opening detecting means for detecting an opening of a throttle valve of the engine; and

vehicle speed detecting means for detecting a vehicle speed of the hybrid vehicle.

9. A control system according to claim 7 or 8, wherein said fuzzy rules include:

fuzzy rules for increasing the electric energy generated by said electric motor as the rotational speed variation of the engine, as detected by said rotational speed variation detecting means, represents an increase in the rotational speed of the engine; and

fuzzy rules for increasing the assistive drive forces generated by said electric motor as the rotational speed variation of the engine, as detected by said rotational speed variation detecting means, represents a decrease in the rotational speed of the engine.

10. A control system according to claim 7 or 8, further comprising stored energy detecting means for detecting an amount of stored energy of the energy storage unit, wherein said fuzzy rules and said membership functions stored in said fuzzy inference memory means include fuzzy rules and membership functions for calculating the desired operating state of the electric motor corresponding to the detected amount of stored energy.

11. A control system according to claim 10, wherein the fuzzy rules stored in said fuzzy inference memory means relating to the amount of stored energy of the energy storage unit include fuzzy rules for educing the assistive drive forces calculated as the desired operating state of the electric motor when the amount of stored energy of the energy storage unit is small.

12. A control system according to claim 10, wherein the fuzzy rules stored in said fuzzy inference memory means relating to the amount of stored energy of the energy storage unit include fuzzy rules for reducing the electric energy calculated as the desired operating state of the electric motor when the amount of stored energy of the energy storage unit is large.

13. A control system according to claim 10, wherein said fuzzy rules include:

fuzzy rules for providing the assistive drive force generated by the electric motor as the engine speed drops below a predetermined engine idle speed; and

fuzzy rules for providing the electric energy conversion by the electric motor as the engine speed increase above said predetermined engine idle speed.

14. A control system according to claim 7 or 8, wherein said fuzzy rules include:

fuzzy rules for providing the assistive drive force generated by the electric motor as the engine speed drops below a predetermined engine idle speed; and

fuzzy rules for providing the electric energy generation by the electric motor as the engine speed increases above said predetermined engine idle speed.