Method for calculating a setpoint for managing the fuel and electricity consumption of a hybrid motor vehicle

• US 10,668,824 B2
• Filed: 06/15/2016
• Issued: 06/02/2020
• Est. Priority Date: 07/02/2015
• Status: Active Grant

• Current Assignee: Renault Sas (Renault)
• Original Assignee: Renault Sas (Renault)
• Inventors: Ourabah, Abdel-Djalil, Jaffrezic, Xavier, Gayed, Atef, Quost, Benjamin, Denoeux, Thierry
• Primary Examiner(s): Tissot, Adam D
• Assistant Examiner(s): Pipala, Edward J
• Application Number:
  US15/740,887
• Publication Number:
  US 20180281620A1
• Time in Patent Office: 1,448 Days
• CPC Class Codes: B60L 15/2045 for optimising the use of energy
• CPC Class Codes: B60L 2240/12 Speed
• 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: B60L 2260/52 drive range estimation, e.g. of estimation of available travel distance
• CPC Class Codes: B60L 2260/54 Energy consumption estimation
• CPC Class Codes: B60L 3/12 Recording operating variables ; Monitoring of operating variables
• CPC Class Codes: B60L 50/16 with provision for separate direct mechanical propulsion
• 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 10/26 for electrical energy, e.g. batteries or capacitors
• 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 2050/0041 of the drive line
• 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: 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: 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
• CPC Class Codes: Y02T 10/84 : Data processing systems or methods, management, administration
• CPC Class Codes: Y02T 90/16 : Information or communication technologies improving the operation of electric vehicles

Abstract

A method that calculates a setpoint for managing the fuel and electricity consumption of a hybrid motor vehicle includes: a) acquiring, by a navigation system on board the hybrid motor vehicle, a route to be traveled; b) dividing the route into consecutive portions; c) assigning attributes that characterize each portion; d) determining, for each of the portions, a curve or a map that links each fuel consumption value of the hybrid motor vehicle over the portion to a charge or discharge value of the traction battery; e) determining an optimal point of each curve or map, which makes it possible to minimize the fuel consumption of the hybrid motor vehicle over the entire route and to completely discharge the traction battery by the end of the route; and f) producing an energy management setpoint in accordance with the coordinates of the optimal points.

Claims

1. A calculation method for calculating a setpoint for managing fuel and electricity consumption of a hybrid motor vehicle comprising at least one electric motor supplied with electricity by a traction battery, and an internal combustion engine supplied with fuel, the calculation method comprising:

a) acquiring, by a navigation system, a journey to be made;

b) dividing said journey into successive sections, the dividing including selecting a length of each section of the journey as a maximum length of the journey over which a predetermined attribute is constant, the predetermined attribute being one of a gradient of the section, a speed category of the section, and a highway category of the section;

c) acquiring, for each section, additional attributes characterizing said section;

d) selecting, for each of said sections and taking into account the predetermined attributes and additional attributes, from among a plurality of predetermined relationships linking fuel consumption values to electrical energy consumption values, a relationship linking the fuel consumption of the hybrid motor vehicle over the section to the electrical energy consumption;

e) determining an optimal point of consumption in each of the selected relationships such that the set of optimal points minimize the fuel consumption of the hybrid motor vehicle over the entire journey and maximize the discharge of the traction battery at an end of said journey;

f) developing an energy management setpoint throughout the journey, according to coordinates of said optimal points; and

wherein, prior to step b), dividing the journey into a plurality of adjacent segments, and each of the segments corresponds to a part of the journey that extends between two highway intersections, and

wherein the journey is re-divided in step b) such that segments in which the predetermined attribute is identical are combined into the same section.

2. The calculation method as claimed in claim 1, in which the predetermined relationships are curves or maps linking fuel consumption values of the internal combustion engine to charge or discharge values of the traction battery.

3. The calculation method as claimed in claim 1, in which, in step d), the relationship is selected regardless of a gradient of said section, and in which, prior to step e), provision is made for a correction step d1) for correcting said relationship taking into account said gradient.

4. The calculation method as claimed in claim 3, in which said correction step d1) includes shifting each point of the relationship so as to modify, at a constant charge or discharge value, the fuel consumption by a value according to the gradient.

5. The calculation method as claimed in claim 1, in which, in step d), the relationship is selected regardless of the electricity consumption of auxiliary devices which are separate from the electric motor and which are powered by the traction battery, and in which, prior to step e), provision is made for a correction step d2) for correcting said relationship taking into account said electricity consumption of the auxiliary devices.

6. The calculation method as claimed in claim 5, in which said correction step d2) consists in shifting each point of the relationship so as to modify, at a constant fuel consumption value, the charge or discharge by a value according to said electricity consumption of the auxiliary devices.

7. The calculation method as claimed in claim 6, in which steps d)-f) are repeated when the electricity consumption of the auxiliary devices varies substantially during the journey.

8. The calculation method as claimed in claim 1, further comprising:

storing in a memory the predetermined relationships and a table associating with each value of the predetermined attributes and additional attributes a probability that the section is associated with one of the predetermined relationships,

in which, in step d), provision is made for each section;

to determine, based on said table, taking into account the values of the predetermined attributes and additional attributes associated with the section, a sum of the probabilities that the section belongs to one of the predetermined relationships, and

to select the relationship having a highest probability sum.

9. The calculation method as claimed in claim 1, in which the predetermined relationships are curves and each of the curves is defined as a second order polynomial, for which the variations in charge and discharge of the traction battery are bounded between a minimum threshold and a maximum threshold.

10. The calculation method as claimed in claim 9, in which said polynomial has two invariable coefficients.

11. The calculation method as claimed in claim 1, in which, in step e), the optimal consumption point of the relationship associated with each section is determined by means of an optimization algorithm.

12. The calculation method as claimed in claim 1, in which the length of each section is selected such that the gradient of the section, the speed limit of the section, and the highway category of the section are all constant over the length.

13. The calculation method as claimed in claim 1, in which the additional attributes include a speed limit of the section, a mean speed of the section, an instantaneous speed of the section, a length of the section, a mean radius of curvature of the section, and a number of lanes of the section.