EP1642146A2 - Procede de prediction de la duree de vie residuelle d'un accumulateur d'energie electrique - Google Patents

Procede de prediction de la duree de vie residuelle d'un accumulateur d'energie electrique

Info

Publication number
EP1642146A2
EP1642146A2 EP04738737A EP04738737A EP1642146A2 EP 1642146 A2 EP1642146 A2 EP 1642146A2 EP 04738737 A EP04738737 A EP 04738737A EP 04738737 A EP04738737 A EP 04738737A EP 1642146 A2 EP1642146 A2 EP 1642146A2
Authority
EP
European Patent Office
Prior art keywords
service life
values
remaining
life
battery
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP04738737A
Other languages
German (de)
English (en)
Inventor
Bernd Frey
Eberhard Schoch
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Robert Bosch GmbH
Original Assignee
Robert Bosch GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Robert Bosch GmbH filed Critical Robert Bosch GmbH
Publication of EP1642146A2 publication Critical patent/EP1642146A2/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392—Determining battery ageing or deterioration, e.g. state of health
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/40—Drive Train control parameters
    • B60L2240/54—Drive Train control parameters related to batteries
    • B60L2240/545—Temperature
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2250/00—Driver interactions
    • B60L2250/10—Driver interactions by alarm
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

Definitions

  • the invention relates to ner driving for predicting a remaining service life of an electrical energy store * according to the preamble of the main claim and ner directions for carrying out the ner driving according to the invention.
  • the prediction of the remaining service life until they become unusable is of great importance, particularly in the case of lead-acid batteries in a motor vehicle.
  • the battery can be replaced in good time and thus * the vehicle cannot be left lying down or the failure of electrically operated, particularly safety-critical, consumers such as x-by-wire systems.
  • the battery must be replaced too early. Cost reasons can be avoided. Therefore, the decisive factors for the respective application are ' metrics tailored and as precisely evaluable as possible ' for the usability with parameterizable threshold values for: a battery replacement indicator.
  • the current fitness for use of the energy storage device is therefore assessed either on the basis of the current storage capacity or the performance capacity based on the engine start. More specific criteria for usability that can be applied to different and combined applications (engine start, electric / hybrid vehicle, supply of safety-critical electrical consumers, etc.) are not specified and evaluated in the literature. There is also no prediction of the remaining service life.
  • the invention determines in particular by extrapolation with the aid of a mathematical model of the energy store.
  • a motor vehicle lead battery (- .. $. Dt-? ⁇ i ⁇ _o 1% 21 f " ⁇ ) t-? 4D 30 3 OG), the remaining service life until an arbitrarily definable minimum capacity and / or storage capacity given boundary conditions for state of charge and temperature is reached.
  • the remaining service life and a warning at differen 'reitung a .vorpetiten SchweJlwerts be indicated to the driver.
  • the invention overcomes the i booth the technique .Nachmaschine described the known method for determining the fitness for use of an energy store with the aid of a model of the energy accumulator, the parameters of which can be adapted over the service life continuously on 'the real values .. From the reference at regular intervals of the ' model calculated and stored values of the capacity and / or storage capacity related to a given state of charge (eg full charge) * and temperature ' (eg cold start temperature -18 ° C) and the minimum values required for the respective application, the expected Res ' tiebensdaer determined by extrapolation.
  • the advantages over the state of the art are: Use of a mathematical model with automatic adaptation to the energy storage used through continuous adaptation of the parameters of the energy storage model (e.g.
  • the voltage u. Initialized charge predictor used mathematical battery model.
  • the voltage predictor provides the current performance of the battery by with the help of the battery clip, the voltage responses U B5 ⁇ :, prsdi, 2, ... to given load current profiles, 2 , ... under given boundary conditions for the battery state variables Z ⁇ I , ⁇ , ... and temperatures T BactD1 , 2r . .. predicted (cf. D_ - ⁇ -K> o ⁇ b ⁇ 2l -
  • the vector z ⁇ i (2 , ... of the battery state variables to be specified in the battery model contains, for example, variables such as resting voltage, concentration and concentration factors for a lead acid battery.
  • the charge predictor provides the current storage capacity of the battery by using the removable battery model Q e , P ceeu, 2, ... for the discharge currents
  • the discharge current profile Is att ⁇ e u a load current profile is expanded in accordance with the ones used for voltage prediction and for U Batl .Q the minimum permitted battery voltage when loaded with the specified load current profile is used (see! W ⁇ 'M®3 & i & £ - • A starter battery can do so For example, how large the charge reserve is with full charge, a given discharge current and temperature up to the start ability limit.
  • stage III the time courses of the voltages U Batt , predlr 2, ...
  • tgssc mm (tp, es t ⁇ i; tRe ⁇ tt J 2 / ⁇ • • / tR est Qi, t RaslL Q2, 7)
  • the extrapolation can also be carried out using more than 2 time-voltage or time-charge value pairs and more complex methods such as linear regression or, in the case of non-linear processes, using polynomials or methods based on neural networks (RBF).
  • extrapolation rules can be derived from already measured and thus known courses of storage or performance over the battery life. If a predetermined minimum value t Re3 , m i ⁇ of the remaining service life is undershot , an optical and / or acoustic warning signal is output to the driver, which prompts the battery to be replaced.
  • warning signal (t rest ⁇ t Resc, m i n) or ... (u * Ba tt, prsdl, 2, ... -u "Ba ⁇ : t ⁇ nl, 2, ...) ⁇ 2 , ... Or .. (Qe, pradl, 2, ...- Qem ⁇ nl, 2, ...) ⁇ Qeminl, 2 , ...

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Secondary Cells (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Tests Of Electric Status Of Batteries (AREA)

Abstract

L'invention concerne un procédé de prédiction de la durée de vie résiduelle d'un accumulateur d'énergie électrique, notamment d'une batterie d'un véhicule automobile ainsi que des dispositifs permettant la mise en oeuvre de tels procédés, qui permettent de prédire la durée de vie résiduelle par extrapolation à l'aide d'un modèle mathématique de l'accumulateur d'énergie. Cette durée de vie résiduelle est déterminée comme temps jusqu'à l'obtention de valeurs limites prédéterminées quelconques pour la capacité minimale ou la capacité de stockage minimale. La durée de vie restante ou la durée de vie résiduelle et un avertissement en cas de dépassement en deçà d'une valeur seuil déterminée sont affichées. Les paramètres de l'accumulateur d'énergie sont adaptés pendant la durée de vie en continu aux valeurs réelles. On détermine la durée de vie résiduelle par extrapolation, à partir des valeurs de la capacité et/ou de la capacité de stockage en référence à un état de charge et à la température, ces valeurs étant calculées à intervalles de temps réguliers à l'appui du modèle et des valeurs minimales exigées pour le cas d'application respectif.
EP04738737A 2003-06-25 2004-06-19 Procede de prediction de la duree de vie residuelle d'un accumulateur d'energie electrique Withdrawn EP1642146A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE10328721A DE10328721A1 (de) 2003-06-25 2003-06-25 Verfahren zur Vorhersage einer Restlebensdauer eines elektrischen Energiespeichers
PCT/DE2004/001287 WO2005003799A2 (fr) 2003-06-25 2004-06-19 Procede de prediction de la duree de vie residuelle d'un accumulateur d'energie electrique

Publications (1)

Publication Number Publication Date
EP1642146A2 true EP1642146A2 (fr) 2006-04-05

Family

ID=33521011

Family Applications (1)

Application Number Title Priority Date Filing Date
EP04738737A Withdrawn EP1642146A2 (fr) 2003-06-25 2004-06-19 Procede de prediction de la duree de vie residuelle d'un accumulateur d'energie electrique

Country Status (5)

Country Link
US (1) US7741849B2 (fr)
EP (1) EP1642146A2 (fr)
CN (1) CN100575979C (fr)
DE (1) DE10328721A1 (fr)
WO (1) WO2005003799A2 (fr)

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CN109671997B (zh) * 2017-10-13 2021-10-19 神讯电脑(昆山)有限公司 电子装置与充电方法
CN107765186B (zh) * 2017-10-20 2019-09-17 清华大学 燃料电池剩余寿命在线预报方法及装置
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BR112022009736A2 (pt) 2019-11-20 2022-08-09 Dekra Se Procedimento para determinação de um valor de estado de uma bateria de tração
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Also Published As

Publication number Publication date
WO2005003799A2 (fr) 2005-01-13
DE10328721A1 (de) 2005-01-13
WO2005003799A3 (fr) 2005-03-24
US7741849B2 (en) 2010-06-22
CN100575979C (zh) 2009-12-30
US20060250137A1 (en) 2006-11-09
CN1813199A (zh) 2006-08-02

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