Method and device for monitoring at least one traction battery of a motor vehicle

• US 10,024,926 B2
• Filed: 01/30/2014
• Issued: 07/17/2018
• Est. Priority Date: 01/30/2013
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Gussen, Uwe, Rambow, Thomas, Wegner, Goetz-Philipp, Busch, Rainer
• Primary Examiner(s): Wang, Quan-Zhen
• Assistant Examiner(s): BURGDORF, STEPHEN R
• Application Number:
  US14/168,433
• Publication Number:
  US 20140210638A1
• Time in Patent Office: 1,629 Days
• Field of Search: 34087009, 320132, 320134, 320136
• CPC Class Codes: B60L 2260/50 by future state prediction
• CPC Class Codes: B60L 3/0046 relating to electric energy storage systems, e.g. batteries or capacitors
• CPC Class Codes: B60L 58/14 Preventing excessive discharging
• CPC Class Codes: B60L 58/16 responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
• CPC Class Codes: G01R 31/3648 comprising digital calculation means, e.g. for performing an algorithm
• CPC Class Codes: G01R 31/371 with remote indication, e.g. on external chargers
• CPC Class Codes: G01R 31/382 Arrangements for monitoring battery or accumulator variables, e.g. SoC
• CPC Class Codes: H02J 7/0047 with monitoring or indicating devices or circuits
• CPC Class Codes: H02J 7/0048 Detection of remaining charge capacity or state of charge [SOC]
• CPC Class Codes: H02J 7/005 Detection of state of health [SOH]
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 90/16 Information or communication technologies improving the operation of electric vehicles

Abstract

A method for monitoring at least one traction battery of a motor vehicle includes the steps of determining basic data for the prediction of a deeply discharged state of the at least one traction battery by a battery monitoring system associated with the motor vehicle, transmitting the basic data to an external computer via a first communications link, determining an expected point in time of the deep discharge by the external computer, and transmitting a first warning signal to a first monitoring instantiation of the motor vehicle that can be specified if the determined point in time of the deep discharge is reached apart from an early warning time. A device for monitoring at least one traction battery of a motor vehicle is also disclosed.

Claims

1. A method comprising:

receiving, from a battery monitoring system of a vehicle, data for prediction of a deep discharge state of a traction battery of the vehicle at a computer remote from the vehicle;

transmitting by the computer a first warning signal to the battery monitoring system responsive to determination that a period of time until an expected deep discharge as derived from the data is less than a predetermined deep discharge warning time period that depends on a current location of the vehicle; and

transmitting by the computer a second warning signal responsive to an absence of a received confirmation signal from the battery monitoring system within a predetermined reacting time period, wherein the confirmation signal is initiated based on receipt of the first warning signal by the battery monitoring system.

2. The method as claimed in claim 1, wherein the data comprise operating data of the vehicle.

3. The method as claimed in claim 1, wherein the period of time is derived via a battery model that is stored in a memory that can be accessed by the computer.