VEHICLE HYBRID POWER SYSTEM AND METHOD FOR CREATING SIMULATED EQUIVALENT FUEL CONSUMPTION MULTIDIMENSIONAL DATA APPLICABLE THERETO

• US 20090150016A1
• Filed: 03/28/2008
• Published: 06/11/2009
• Est. Priority Date: 12/07/2007
• Status: Active Grant

• Current Assignee: Industrial Technology Research Institute
• Original Assignee: Industrial Technology Research Institute
• Inventors: HUNG, Yi-Hsuan, Lin, Po-Hsu, Wu, E-In, Chiu, Chuang-Pin, Tsai, Tsu-Yang, Wu, Chien-Hsun
• Granted Patent: US 7,844,375 B2
• Time in Patent Office: Days
• US Class Current: 701/22
• CPC Class Codes: B60K 6/48 Parallel type
• CPC Class Codes: B60L 2240/421 Speed
• CPC Class Codes: B60L 2240/423 Torque
• CPC Class Codes: B60L 2240/441 Speed
• CPC Class Codes: B60L 2240/443 Torque
• CPC Class Codes: B60W 10/02 including control of driveline clutches
• 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 20/11 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 2050/0031 Mathematical model of the vehicle
• CPC Class Codes: B60W 2510/0638 Engine speed
• CPC Class Codes: B60W 2510/0657 Engine torque
• CPC Class Codes: B60W 2510/081 Speed
• CPC Class Codes: B60W 2510/244 Charge state
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2710/0666 Engine torque
• CPC Class Codes: B60W 2710/083 Torque
• CPC Class Codes: Y02T 10/40 Engine management systems
• CPC Class Codes: Y02T 10/62 Hybrid vehicles
• CPC Class Codes: Y02T 10/64 Electric machine technologies in electromobility
• CPC Class Codes: Y10S 903/914 : Actuated, e.g. engaged or disengaged by electrical, hydraulic or mechanical means
• CPC Class Codes: Y10S 903/93 : Conjoint control of different elements

Abstract

A vehicle hybrid power system is provided according to the present invention. The hybrid power system is characterized by applying the concept of minimum equivalent fuel consumption, and then simulating equivalent fuel consumptions based on respective energy consumption or increase of motor and generator of a motor vehicle, and also defining simulated equivalent fuel consumption formula and making a list of system state parameters, system control parameters, and system negative load parameters, thereby obtaining simulated equivalent fuel consumption multidimensional data by entering the system parameters derived from a discretization/transformation process in the defined simulated equivalent fuel consumption formula; wherein, the simulated equivalent fuel consumption multidimensional data are revised to comprise subsystems, such as system engine, motor, generator, and others to determine a system control strategy of holistic optimization, thereby achieving the objective of saving energy. The present invention further provides a method for creating simulated equivalent fuel consumption multidimensional data, which is applicable to the hybrid power system of the present invention.

Claims

1. A vehicle hybrid power system, which comprises:

a battery, which is for providing electrical power;

a motor, which is driven by the electrical power provided by the battery;

an engine, which is driven by burning fuel;

a generator, which is driven by the engine to generate electricity, the generator being for charging the battery;

a clutch, which is for engaging or disengaging the motor and the engine such that they either separately or jointly power the vehicle;

a power output unit, which is for outputting power provided by the engine and the motor;

a memory unit, which is for saving simulated equivalent fuel consumption multi-dimensional data obtained via minimum and maximum physical allowed values of system control parameters, system state parameters, and system negative load parameters;

a system parameter detection unit, which is for detecting system state parameters and system negative load parameters; and

a vehicle control unit, which is loaded with parameters detected by the system parameter detection unit, and, based on input system state parameters and system negative load parameters, acquires minimum simulated equivalent fuel consumption and its corresponding system control parameters from the simulated equivalent fuel consumption multidimensional data saved in the memory unit, and then accordingly separately controls the actions of the engine, the motor, the clutch, and the generator based on the acquired system control parameters.

2. The vehicle hybrid power system of claim 1, wherein, the power output unit is a transmission box.

3. The vehicle hybrid power system of claim 1, wherein the system control parameters comprise at least:

torque values including the engine output, the motor output and input to the generator, as well as the rotation speeds of the engine, the motor, and the generator.

4. The vehicle hybrid power system of claim 3, wherein the system state parameters comprise at least:

the state of charge (SOC) of the battery;

engine fuel consumption efficiency that is determined by engine output torque and rotation speed;

equivalent fuel consumption efficiency of the motor;

equivalent fuel consumption efficiency of the generator;

a penalty factor for the generator to the state of charge (SOC) of the battery, which is in a direct proportion to the state of charge (SOC) of the battery;

a penalty factor for the motor battery consumption, which is in an inverse proportion to the state of charge (SOC) of the battery; and

the system output rotation speed.

5. The vehicle hybrid power system of claim 4, wherein the system negative load parameters comprise at least:

a negative load torque.

6. A method for creating simulated equivalent fuel consumption multidimensional data that is applicable to a vehicle hybrid power system, which comprises the following steps:

(1) inputting the minimum and maximum physically allowed values for the system control parameters, system state parameters, and system negative load parameters, and then performing a discretization process on these parameters within the scope of their allowed values; and

(2) entering the system parameters derived from the discretization process into the following defined equivalent fuel consumption formulas for creating the simulated equivalent fuel consumption multidimensional data;

the equivalent fuel consumption formulas being;

{dot over (m)}_EF={dot over (m)}_e−

PF_ISG×

{dot over (m)}_ISG+PF_m×

{dot over (m)}_m

{dot over (m)}_e=BSFC_e(T_e,N_e)×

(T_e×

N_e)

{dot over (m)}_m=mBSFC_m×

(T_m×

N_m)

{dot over (m)}_ISG=mBSFC_ISG×

(T_ISG×

N_e)

wherein,

{dot over (m)}_EF is the system simulated equivalent fuel consumption required by the system for providing the system negative load torque,

{dot over (m)}_e is the engine fuel consumption required by the engine for providing the engine output torque,

{dot over (m)}_m is the motor simulated equivalent fuel consumption required by the motor for providing the motor output torque,

{dot over (m)}_ISG is the generator simulated equivalent fuel consumption required for inputting torque to the generator,

T_e is the engine output torque,

N_e is the engine output rotation speed,

BSFC_e(T_e,N_e) is the engine fuel consumption efficiency determined by the engine output torque and rotation speed,

T_m is the motor output torque,

N_m is the motor output rotation speed,

mBSFC_m is the equivalent fuel consumption efficiency of the motor,

T_ISG is the generator input toque,

N_ISG is the generator input rotation speed,

mBSFC_ISG is the equivalent fuel consumption efficiency of the generator,

PF_ISG is the penalty factor for the generator to battery charge; and

PF_m is the penalty factor for the battery consumption on the motor;

7. The method for creating simulated equivalent fuel consumption multidimensional data of claim 6, wherein step (2) further comprises the following steps:

(A) defining the equivalent fuel consumption formulas;

(B) selecting a set of system state parameters and system negative load parameters among parameters derived from the discretization process in step (1);

(C) selecting a set of system control parameters among the parameters derived from the discretization process in step (1);

(D) entering the selected system parameters in the equivalent fuel consumption formula to obtain the system simulated equivalent fuel consumption, and then saving the entered system parameters and said obtained system simulated equivalent fuel consumption in the equivalent fuel consumption multidimensional data;

(E) determining if each of the system control parameters has been through step (D), and, if yes, proceeding to step (F); and

otherwise, selecting another set of system control parameters among the system parameters that are derived from the discretization process in step (1) but unprocessed in step (D), and then proceeding back to said step (D);

(F) comparing the simulated equivalent fuel consumptions saved in the simulated equivalent fuel consumption multi-dimensional data to acquire the minimum simulated equivalent fuel consumption and its corresponding system control parameters under the condition of the same system state parameters and system negative load parameters, and then saving the compared result in the simulated equivalent fuel consumption multi-dimensional data; and

(G) determining if each set of the system state parameters and system negative load parameters derived from said discretization process has been through step (D), and, if yes, the simulated equivalent fuel consumption multi-dimensional data has been created;

or otherwise, selecting another set of system state parameters and system negative load parameters among the system parameters that are derived from said discretization process in step (1) but unprocessed in step (D), and also making each set of all the system control parameters derived from said discretization process be de-processed in step (D); and

then proceeding back to step (C).

8. The method for creating a simulated equivalent fuel consumption multidimensional data of claim 7, wherein the system control parameters comprise at least:

torque values including the engine output, and the motor output and input to the generator, as well as rotation speeds of the engine, the motor, and the generator.

9. The method for creating a simulated equivalent fuel consumption multidimensional data of claim 8, wherein the system state parameters comprise at least:

the state of charge (SOC) of the battery;

engine fuel consumption efficiency determined by the engine output torque and rotation speed;

equivalent fuel consumption efficiency of the motor;

equivalent fuel consumption efficiency of the generator;

a penalty factor for the generator to the state of charge (SOC) of the battery, which is in a direct proportion to the state of charge (SOC) of the battery;

a penalty factor for the motor battery consumption, which is in an inverse proportion to the state of charge (SOC) of the battery; and

the system output rotation speed.

10. The method for creating a simulated equivalent fuel consumption multidimensional data of claim 9, wherein the system negative load parameters comprise at least:

system negative load torque.