MOTOR VEHICLE HYBRID DRIVE ARRANGEMENT

• US 20130013141A1
• Filed: 08/19/2012
• Published: 01/10/2013
• Est. Priority Date: 03/04/2010
• Status: Abandoned Application

• Current Assignee: Daimler AG (Mercedes-Benz Group AG)
• Original Assignee: Daimler AG (Mercedes-Benz Group AG)
• Inventors: Kipping, Jan, Neiss, Konstantin, Schlutter, Matthias, Krber, Ralf
• Application Number:
  US13/589,143
• Publication Number:
  US 20130013141A1
• Time in Patent Office: Days
• US Class Current: 701/22
• CPC Class Codes: B60K 6/48 Parallel type
• CPC Class Codes: B60L 15/2045 for optimising the use of energy
• CPC Class Codes: B60L 2240/68 Traffic data
• CPC Class Codes: B60L 50/16 with provision for separate direct mechanical propulsion
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• 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 20/00 Control systems specially adapted for hybrid vehicles hybrid vehicle design, B60K6/00; electric vehicles B60L
• 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 2050/0025 Transfer function weighting factor
• 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 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2555/60 Traffic rules, e.g. speed limits or right of way
• 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 10/64 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 90/16 : Information or communication technologies improving the operation of electric vehicles

Abstract

In a motor vehicle drive device, in particular a motor vehicle hybrid drive device, including an open-loop and/or closed-loop control unit, which is provided for controlling an energy store service unit for charging and/or discharging an energy store unit as a function of travel information items which are made available by a data assistance system, the control unit is adapted, in at least one operating state, to predictively calculate at least one state of charge (SOC) operating point of the energy store unit with an SOC derivative action as a function of the travel information items.

Claims

1. A motor vehicle hybrid, drive arrangement including an energy store unit (13), an energy store service unit (12), at least one of an open-loop and a closed-loop control unit (11) for controlling the energy store service unit (12) for charging and discharging the energy store unit (13) as a function of at least one road travel information item, a data assistance system (10) connected to the energy store service unit (12) for supplying travel information to the data assistance system (10), wherein the open-loop and/or closed-loop control unit (11), in at least one operating state is provided for predictively calculating at least one state of charge (SOC) working point (A₄, A₆) with an SOC derivative action as a function of a road travel distance information item, the control unit (11) being provided for calculating the at least one SOC working point (A₄, A₆) as a function of at least one discrete travel event (i₄, i₆) in the form of a traffic light, a stop sign, or a road crossing.

2. The motor vehicle drive arrangement according to claim 1, wherein the control unit (11), in at least one operating state, is provided for predictively calculating at least one SOC working point (A₁, A₂, A₃, A₅) with an SOC potential as a function of the travel distance information item.

3. The motor vehicle drive device according to claim 2, wherein the control unit (11) is provided for considering as travel distance information at least one of a motor vehicle distance prognosis and a motor vehicle speed prognosis.

4. The motor vehicle drive device according to claim 2, wherein the control unit (11) is provided for determining the at least one SOC working point as a function of at least one discrete travel distance event (i₁, i₂, i₃, i₄, i₅, i₆).

5. The motor vehicle drive device according to claim 4, wherein the control unit (11) has at least one prognosis horizon (14) and is provided, for determining different SOC working points (A₁, A₂, A₃, A₄, A₅, A₆) for various travel distance events (i₁, i₂, i₃, i₄, i₅, i₆), within the prognosis horizon (14).

6. The motor vehicle drive device according to claim 5, wherein the control unit (11) is provided for weighting at least one of the various travel distance events (i₁, i₂, i₃, i₄, i₅, i₆) and the different SOC working points (A₁, A₂, A₃, A₄, A₅, A₆).

7. The motor vehicle drive device according to claim 5, wherein the prognosis horizon (14) is travel speed-dependent.

8. The motor vehicle drive device according to claim 1, wherein the control unit (11) is provided for limiting at least the SOC working point (A₄, A₆) with an SOC derivative action to a maximum value.

9. The motor vehicle drive device according to claim 1, wherein the control unit (11) is provided for making available a delta SOC signal dependent on the at least one SOC working point.

10. The motor vehicle drive device according to claim 1, wherein the control unit (11) is provided for indirectly setting the at least one SOC working point.

11. A method for operating a motor vehicle hybrid arrangement including an energy store unit (13), an energy store service unit (12), a data assistance system (11) and a control unit with at least one of an open-loop and a closed-loop for controlling the energy store service unit (12) for charging and discharging the energy store unit (13) as a function of at least one travel distance information item made available by the data assistance system (11), the method comprising the steps of predictively calculating in at least one operating state at least one state of charge (SOC) working point (A₄, A₆) of the energy store unit (13) with an SOC derivative action as a function of the distance information item and determining, via the control unit (11), the at least one SOC working point as a function of at least one discrete travel distance event (i₄, i₆), the discrete travel distance event (i₄, i₆) being in the form of a traffic light, a stop street or a road crossing.

12. The method according to claim 11, wherein the control unit determines predictively a desired SOC of the energy store unit (13) depending on a state of a predicted travel road.