IP Library Granted Patent US 12,591,013
Granted Patent B2
US 12,591,013 · App. 17/312,117 · Granted Mar 31, 2026

Vehicle battery monitoring

Inventors: Paul Roeland Verheijen (Amsterdam, NL); Jasper Johannes Anthonius Pauwelussen (Amsterdam, NL); Silviu Stanimir (Amsterdam, NL)
Assignee: Bridgestone Mobility Solutions B.V.
G01R31/3647G01R31/007G01R31/367G01R31/3835G01R31/392H01M10/48H01M2220/20
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,591,013
App. No.
17/312,117
Granted
Mar 31, 2026
Kind
B2
Abstract

Vehicle battery voltage data is received from a telematics control unit (TCU) of a vehicle dining multiple driving cycles, and analysed to determine a state of health (SOH) and state of charge (SOC) of the battery. The TCU also provides data relating to the state of an ignition switch of the vehicle for use in analysing the voltage data. A starting probability factor for the vehicle is determined and monitored. Information about the ability of the battery to start the vehicle is output to the user.

Claims (53)

1 . A method of obtaining information in relation to the state of a vehicle battery for provision to a user, wherein the battery is used to power cranking of an engine of the vehicle, the method comprising:

receiving a feed of data indicative of a voltage of the vehicle battery with respect to time from a telematics control unit (TCU) of the vehicle at a plurality of different times during each one of a plurality of driving cycles of the vehicle, wherein a driving cycle is defined between initiation of engine cranking, and stopping of the vehicle with the ignition off;

detecting an ignition state of the vehicle;

sampling the voltage at a first rate when the ignition state of the vehicle is detected to be an ignition off state;

sampling the voltage at a second, higher, rate when the ignition state of the vehicle is detected to be an ignition on state;

obtaining data indicative of a timing of each one of the plurality of driving cycles of the vehicle from the detected ignition state of the vehicle;

calculating a set of driving cycle related parameters using at least a portion of the data indicative of the timing of the plurality of driving cycles of the vehicle, wherein the calculated set of driving cycle parameters includes an average duration of a driving cycle and/or an average interval between driving cycles;

calculating a set of one or more voltage related parameters using at least a portion of the data indicative of the voltage of the battery at a plurality of different times during each one of the driving cycles;

calculating a state of charge (SOC) of the battery based at least on the calculated average duration of a driving cycle and the average interval between driving cycles;

calculating a state of health (SOH) of the battery based on a number of driving cycles the battery has undergone and/or an age of the battery;

calculating, for one or more times, a starting probability factor for the battery indicative of a likelihood that the battery will be capable of starting the engine of the vehicle at an applicable time, wherein the starting probability factor is based on the applicable SOC and SOH of the battery; and

using the starting probability factor or factors calculated for at least a portion of the one or more times to generate information based on the starting probability factor of the battery for the applicable time for output to a user.

2 . The method of claim 1 , wherein the data indicative of the timing of one or more driving cycles of the vehicle is obtained based on the at least a portion of the obtained data indicative of the voltage of the battery at a plurality of different times during each one of the plurality of driving cycles, and obtained data indicative of the timing of one or more transitions of the vehicle between ignition states of the vehicle.

3 . The method of claim 2 , wherein the data indicative of the timing of the one or more transitions of the vehicle between different ignition states is received from a telematics control unit (TCU) of the vehicle.

4 . The method of claim 2 , wherein the data indicative of the transition of the vehicle between ignition states is obtained using data indicative of a state of an ignition switch of the vehicle.

5 . The method of claim 1 , comprising storing the feed of data indicative of the voltage of the battery of the vehicle with respect to time in a database of vehicle battery voltage data.

6 . The method of claim 1 , further comprising obtaining the feed of data indicative of the voltage of the battery:

at a plurality of different times between driving cycles of the vehicle.

7 . The method of claim 1 , wherein the ignition on or off state of the vehicle is detected via one or more of:

based upon a transition in the state of an ignition switch of the vehicle; and

using a telematics control unit (TCU) of the vehicle.

8 . The method of claim 1 , wherein the starting probability factor further takes into account temperature, wherein the temperature used in calculating the starting probability factor is determined at least in part using weather data applicable to the time to which the starting probability factor relates, wherein the method comprises using data indicative of the position of the vehicle to select weather data applicable to the position of the vehicle.

9 . The method of claim 8 , wherein the data indicative of the position of vehicle is received from the vehicle and comprises live positional data.

10 . The method of claim 8 , further comprising calculating a correction to the temperature at the location of the vehicle as indicated by the weather data for use in calculating the starting probability factor, the method comprising using one or more temperature measurements from one or more temperature sensors associated with the vehicle to determine the correction to the temperature.

11 . The method of claim 8 , further comprising using engine usage history in calculating a correction to the temperature at the location of the vehicle as indicated by the weather data for use in determining the starting probability factor.

12 . The method of claim 1 , wherein the one or more voltage related parameters include an open circuit voltage.

13 . The method of claim 1 , wherein the set of one or more voltage related parameters includes a difference between a first two minima in the voltage after initiation of a cranking mode in a driving cycle, wherein said difference is additionally used in calculating the SOC of the battery.

14 . The method of claim 1 , wherein the information generated is a warning, advice or prompt to the user selected based on the applicable starting probability factor.

15 . A non-transitory computer readable medium having a computer program product embodied thereon and comprising computer readable instructions executable by a processor direct the performance of operations comprising:

receiving a feed of data indicative of the voltage of the battery of the vehicle with respect to time from a telematics control unit (TCU) of the vehicle at a plurality of different times during each one of a plurality of driving cycles of an associated vehicle, wherein a driving cycle is defined between initiation of engine cranking, and stopping of the vehicle with the ignition off;

detecting an ignition state of the vehicle;

sampling the voltage at a first rate when the ignition state of the vehicle is detected to be an ignition off state;

sampling the voltage at a second, higher rate, when the ignition state of the vehicle is detected to be an ignition on state;

obtaining data indicative of a timing of each one of the plurality of driving cycles of the vehicle from the detected ignition state of the vehicle;

calculating a set of driving cycle related parameters using at least a portion of the data indicative of the timing of the plurality of driving cycles of the vehicle, wherein the calculated set of driving cycle parameters includes an average duration of a driving cycle and/or an average interval between driving cycles;

calculating a set of one or more voltage related parameters using at least a portion of the data indicative of the voltage of the battery at a plurality of different times during each one of the driving cycles;

calculating a state of charge (SOC) of the battery based at least on the calculated average duration of a driving cycle and/or the average interval between driving cycles;

calculating a state of health (SOH) of the battery based on a number of driving cycles the battery has undergone and/or an age of the battery;

calculating, for one or more times, a starting probability factor for the battery indicative of a likelihood that the battery will be capable of starting the engine of the vehicle at an applicable time, wherein the starting probability factor is based on the applicable SOC and SOH of the battery; and

using the starting probability factor or factors calculated for at least a portion of the one or more times to generate information based on the starting probability factor of the battery for the applicable time for output to a user.

16 . A system comprising a server device configured to calculate information in relation to the state of a vehicle battery for provision to a user, wherein the battery is used to power cranking of an engine of the vehicle, the server device configured to:

receive a feed of data indicative of the voltage of the battery of the vehicle with respect to time from a telematics control unit (TCU) of the vehicle at a plurality of different times during each one of a plurality of driving cycles of an associated vehicle, wherein a driving cycle is defined between initiation of engine cranking, and stopping of the vehicle with the ignition off;

instruct detection of an ignition state of the vehicle;

instruct sampling of the voltage at a first rate when the ignition state of the vehicle is detected to be an ignition off state;

instruct sampling of the voltage at a second, higher rate, when the ignition state of the vehicle is detected to be an ignition on state;

obtain data indicative of a timing of each one of the plurality of driving cycles of the vehicle from the detected ignition state of the vehicle;

calculate a set of driving cycle related parameters using at least a portion of the data indicative of the timing of the plurality of driving cycles of the vehicle, wherein the calculated set of driving cycle parameters includes an average duration of a driving cycle and/or an average interval between driving cycles;

calculate a set of one or more voltage related parameters using at least a portion of the data indicative of the voltage of the battery at a plurality of different times during each one of the driving cycles;

calculate a state of charge (SOC) of the battery based on the calculated average duration of a driving cycle and/or the average interval between driving cycles;

calculate a state of health (SOH) of the battery based on a number of driving cycles the battery has undergone and/or an age of the battery;

calculate, for one or more times, a starting probability factor for the battery indicative of a likelihood that the battery will be capable of starting the engine of the vehicle at an applicable time, wherein the starting probability factor is based on the applicable SOC and SOH of the battery; and

use the starting probability factor or factors calculated for at least a portion of the one or more times to generate information based on the starting probability factor of the battery for the applicable time for output to a user; and

the system further comprising a positioning system of the vehicle configured to provide data indicative of a position of the vehicle to the server device, the server device further configured to determine the temperature expected at a position of the vehicle at the applicable time, using the data indicative of a position of the vehicle to select weather data applicable to the position of the vehicle.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 12, 2025
From: VERHEIJEN, PAUL ROELAND; PAUWELUSSEN, JASPER JOHANNES ATHONIUS; STANIMIR, SILVIU
To: TOMTOM TELEMATICS B .V.
Reel/Frame 072873/0135 →
CHANGE OF NAME Recorded Nov 12, 2025
From: WEBFLEET SOLUTIONS B.V.
To: BRIDGESTONE MOBILITY SOLUTIONS B.V.
Reel/Frame 073533/0394 →
CHANGE OF NAME Recorded Sep 22, 2022
From: WEBFLEET SOLUTIONS B.V.
To: BRIDGESTONE MOBILITY SOLUTIONS B.V.
Reel/Frame 061508/0948 →
CHANGE OF NAME Recorded Mar 2, 2022
From: WEBFLEET SOLUTIONS B.V.
To: BRIDGESTONE MOBILITY SOLUTIONS B.V.
Reel/Frame 059307/0422 →
Priority Claims (1)
GB 1820073 · Dec 10, 2018 · national
Continuity (1)
Related Publication 20220026492A1 · Jan 27, 2022
References Cited (42)
US 7218118B1 · Gonring · 2007 [cited by applicant]
US 20070069734A1 · Bertness · 2007 [cited by applicant]
US 20070216407A1 · Yamaguchi · 2007 [cited by applicant]
US 20080268896A1 · Langlois et al. · 2008 [cited by applicant]
US 20090027056A1 · Huang · 2009 [cited by examiner]
US 20090146664A1 · Zhang · 2009 [cited by applicant]
US 20090265125A1 · Zhang · 2009 [cited by applicant]
US 20100026306A1 · Zhang · 2010 [cited by examiner]
US 20110082621A1 · Berkobin · 2011 [cited by examiner]
US 20140214311A1 · Stevens et al. · 2014 [cited by applicant]
US 20170016962A1 · Iwane et al. · 2017 [cited by applicant]
US 20180065636A1 · Fabregas · 2018 [cited by examiner]
US 20180236890A1 · Cyrne · 2018 [cited by examiner]
US 20190033396A1 · Karner · 2019 [cited by examiner]
US 20190385385A1 · Davidson · 2019 [cited by examiner]
US 20190385386A1 · Davidson · 2019 [cited by applicant]
US 20200164763A1 · Holme · 2020 [cited by examiner]
US 20210255247A1 · Alleva et al. · 2021 [cited by applicant]
CN 203020100U · 2013 [cited by applicant]
CN 109523758 · 2019 [cited by applicant]
EP 2404792A1 · 2010 [cited by applicant]
GB 2557073A · 2018 [cited by applicant]
WO 0004620A2 · 2000 [cited by applicant]
WO 2016022659A1 · 2016 [cited by applicant]
WO WO2019017991A1 · 2019 [cited by examiner]
WO-2019017991-A1_translated (Year: 2019). [cited by examiner]
International Search Authority: European Search Report for corresponding European Application No. EP 21 17 8888 dated Sep. 30, 2021. [cited by applicant]
Intellectual Property Office: Search Report for corresponding GB Application No. 1820073.3 dated May 31, 2019, 4 pages. [cited by applicant]
International Search Authority: European Patent Office Search Report for corresponding International Application No. PCT/EP2019/084523, dated Mar. 9, 2020, 5 pages. [cited by applicant]
International Bureau of WIPO: International Preliminary Report of Patentability for corresponding application PCT/2019/0824523, dated Jun. 8, 2021, 12 pages. [cited by applicant]
Thomas, Pete, et al: “Identifying the causes of road crashes in Europe”, 57th AAAM Annual Conference, Annals of Advances in Automotive Medicine (Sep. 22-25, 20213), 10 pages. [cited by applicant]
Grube, Ryan J .: “Automotive Battery State-of-Health Monitoring Methods,” (2008) Wright State University CORE Scholar (Theses and Dissertations) , 117 pages. [cited by applicant]
Rune, Prytz: “Machine learning methods for vehicle predictive maintenance using off-board and on-board data,” Halmstad University Dissertations No. 9, 96 pages. [cited by applicant]
Buller, Stephan, et al.: “Impedance-based non-linear dynamic battery modeling for automotive applications,” Journal of Power Sources (2003), pp. 422-430, 10 pages. [cited by applicant]
Karden, Eckhard, et al.: Electrochemical modelling of lead/acid batteries under operating conditions of electric vehicles, Journal of Power Sources (1997), pp. 175-180, 6 pages. [cited by applicant]
Ruetschi, Paul: “Aging mechanisms and service life of lead-acid batteries,” Journal of Power Sources (2004) 33-44, 12 pages. [cited by applicant]
Coleman, M., et al.: “A Combined SOC Estimation Method Under Varied Ambient Temperature for a Lead-Acid Battery,” Power Electroics Research Centre,National University of Ireland, Galway, Ireland, 7 pages. [cited by applicant]
Meissner, Eberhard, et al.: “Vehicle electric power systems are under change! Implications for deign, monitoring and management of automotive batteries,” Journal of Power Sources 95 (2001), 13-23, 11 pages. [cited by applicant]
Suozzo, Christopher (2008). Lead-Acid Battery Aging and State of Health Diagnosis (Thesis) The Ohio State University, 142 pages. [cited by applicant]
Omar, Noshin, et al.: “Peukert Revisisted-Critical Appraisal and Need for Modification for Lithium-Ion Batteries,” Energies (2013) 6, 5625-5641; doi:10.3390/en6115625 ISSN 1996-1073, www.mdpi.com/journal/energies, 17 pa… [cited by applicant]
Roberts, Anrew, et al.: Internal combustion engine cold-start efficiency: A review of the problem,causes and potential solutions, Energy Conversion and Management 82 (2014) 327-350, 24 pages. [cited by applicant]
International Search Authority: European Search Report for corresponding European Patent Application No. EP20275105 dated Dec. 11, 2020, 11 pages. [cited by applicant]