JP3868692B2 - Battery deterioration degree determination apparatus and recording medium recording deterioration degree calculation program in battery deterioration degree determination apparatus - Google Patents

Battery deterioration degree determination apparatus and recording medium recording deterioration degree calculation program in battery deterioration degree determination apparatus Download PDF

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JP3868692B2
JP3868692B2 JP2000042807A JP2000042807A JP3868692B2 JP 3868692 B2 JP3868692 B2 JP 3868692B2 JP 2000042807 A JP2000042807 A JP 2000042807A JP 2000042807 A JP2000042807 A JP 2000042807A JP 3868692 B2 JP3868692 B2 JP 3868692B2
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battery
internal resistance
temperature
deterioration degree
resistance
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JP2001228226A (en
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英明 蒲原
倫人 榎本
正志 長尾
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Yazaki Corp
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    • 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]
    • G01R31/389—Measuring internal impedance, internal conductance or related variables
    • 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
    • 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]
    • G01R31/3644—Constructional arrangements
    • G01R31/3647—Constructional arrangements for determining the ability of a battery to perform a critical function, e.g. cranking
    • 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]
    • G01R31/374—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with means for correcting the measurement for temperature or ageing

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Tests Of Electric Status Of Batteries (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)

Description

【０００１】
【発明の属する技術分野】
本発明は、バッテリーの劣化度を判定する劣化度判定装置であって、特にバッテリーの温度と充電状態とを考慮に入れて劣化度を判定することのできるバッテリーの劣化度判定装置及びバッテリーの劣化度判定装置における劣化度算出プログラムを記録した記録媒体に関する。
【０００２】
【従来の技術】
従来、バッテリーの劣化度を判定するには、自動車用鉛バッテリーの場合には始動性が悪くなった、また電動車両駆動用バッテリーの場合には走行距離が短くなったなどの人の感覚に頼って判定していた。
【０００３】
そこで、バッテリーの劣化度、すなわち寿命を客観的に判定するために、バッテリーの寿命がバッテリーの内部抵抗と関係することから、バッテリーの内部抵抗を測定することによって、バッテリーの寿命を判断することが行われていた。
【０００４】
さらに、その内部抵抗は温度によって変化することから、内部抵抗を温度補正することによって、より正確に鉛蓄電池の寿命を判定するようにしていた。
【０００５】
このような従来の鉛蓄電池の寿命判定装置について、図９に基づいて説明する。
【０００６】
図９に示すように、従来の鉛蓄電池の寿命判定装置１０１は、鉛蓄電池１０２の内部抵抗を測定する内部抵抗測定手段１０３と、鉛蓄電池１０２の温度を測定する温度測定手段１０４と、温度測定手段１０４で測定された温度に基づいて、内部抵抗測定手段１０３で測定された内部抵抗の温度補正を行う温度補正手段１０５と、温度補正された内部抵抗に基づいて鉛蓄電池１０２の寿命を判定する寿命判定手段１０６とから構成されている。
【０００７】
この寿命判定装置１０１において、まず内部抵抗測定手段１０３によって鉛蓄電池１０２の内部抵抗が測定され、そのときの温度が温度測定手段１０４で測定されて温度補正手段１０５へ送信される。そして、温度補正手段１０５では温度測定手段１０４で測定された温度に基づいて内部抵抗測定手段１０３で測定された内部抵抗を補正する。このとき、温度補正手段１０５は予め実測した温度−内部抵抗特性を記憶しており、この記憶した特性に基づいて内部抵抗の温度補正を行う。
【０００８】
この温度補正された内部抵抗の値は寿命判定手段１０６に送られ、この寿命判定手段１０６では予め記憶されたバッテリーの寿命時の内部抵抗のデータと温度補正された内部抵抗とを比較して寿命の判定を行う。
【０００９】
【発明が解決しようとする課題】
しかしながら、蓄電池の内部抵抗は温度だけではなく、蓄電池の充電状態によっても変化する。
【００１０】
従って、上述したような従来の寿命判定装置のように、内部抵抗を温度によって補正しただけでは蓄電池の寿命を誤って判定してしまうという問題点があった。
【００１１】
さらに、バッテリーの内部抵抗が生じる原因には、端子−電極間や電解液の電気抵抗、化学反応に因るもの等、いくつかの原因に分けられる。したがって、新品と劣化品との間の比較を行う場合には、ある特定の抵抗成分に分けて比較すると正確に寿命を判定することができるが、この場合には装置が煩雑になるという問題点があった。
【００１２】
例えば、内部抵抗の抵抗成分は、オーミック抵抗成分、活性化分極成分、及び濃度分極成分に分けることができるが、これらを分けて測定するためには、一般的に交流成分を印加し、この交流成分の周波数を変えることによって測定することができる。しかし、このように一定周波数の交流を印可するためには非常に煩雑な装置を必要としていた。
【００１３】
本発明は上記事情に鑑みてなされたものであり、その目的は、温度だけではなく、蓄電池の充電状態も考慮に入れて、バッテリーの寿命を判定することのできるバッテリーの劣化度判定装置及びバッテリーの劣化度判定装置における劣化度算出プログラムを記録した記録媒体を提供することにある。
【００１４】
【課題を解決するための手段】
上記目的を達成するために、請求項１に記載の発明であるバッテリーの劣化度判定装置は、バッテリーの劣化度を算出する劣化度判定装置であって、劣化度の判定対象であるバッテリーの開回路電圧と前記劣化度の判定対象であるバッテリーの充電状態との関係を表す電圧−充電状態特性データと、未使用時のバッテリーの充電状態と内部抵抗との関係を表す第１の充電状態−抵抗特性データと、寿命時のバッテリーの充電状態と内部抵抗との関係を表す第２の充電状態−抵抗特性データと、前記未使用時のバッテリーの内部抵抗と温度との関係を表す第１の抵抗−温度特性データと、前記寿命時のバッテリーの内部抵抗と温度との関係を表す第２の抵抗−温度特性データとを格納する記憶装置と、前記劣化度の判定対象であるバッテリーの温度を測定する温度センサと、前記劣化度の判定対象であるバッテリーの電圧を測定する電圧センサと、前記劣化度の判定対象であるバッテリーに流れる電流を測定する電流センサと、前記電圧センサで測定された前記開回路電圧から、前記電圧−充電状態特性データに基づいて前記劣化度の判定対象であるバッテリーの充電状態を算出する充電状態算出手段と、この充電状態算出手段で算出された前記充電状態から前記第１の充電状態−抵抗特性データに基づいて、前記未使用時のバッテリーの内部抵抗を算出するとともに、前記充電状態から前記第２の充電状態−抵抗特性データに基づいて、前記寿命時のバッテリーの内部抵抗を算出する内部抵抗データ算出手段と、この内部抵抗データ算出手段で算出された前記未使用時のバッテリーの内部抵抗を前記第１の抵抗−温度特性データと前記温度センサで測定された温度とに基づいて温度補正するとともに、前記寿命時のバッテリーの内部抵抗を前記第２の抵抗−温度特性データと前記温度センサで測定された温度とに基づいて温度補正する温度補正手段と、前記電圧センサで測定された前記開回路電圧と、前記劣化度の判定対象であるバッテリーの放電時における電流と電圧との相関関係とに基づいて、前記劣化度の判定対象であるバッテリーの内部抵抗を算出する内部抵抗算出手段と、この内部抵抗算出手段で算出された前記劣化度の判定対象であるバッテリーの内部抵抗と、温度補正された前記未使用時のバッテリーの内部抵抗と、温度補正された前記寿命時のバッテリーの内部抵抗とに基づいて、前記劣化度の判定対象であるバッテリーの劣化度を算出する劣化度算出手段とを含むことを特徴とする。
【００１５】
この請求項１の発明によれば、内部抵抗を温度補正するだけではなく、充電状態をも考慮にいれて劣化度を算出するので、より正確な劣化度の判定が可能となる。
【００１６】
さらに、劣化度Ａ（％）を具体的な数値として算出することによって、劣化の進行具合を客観的に把握することができる。
【００１７】
請求項２に記載の発明であるバッテリーの劣化度判定装置における劣化度算出プログラムを記録した記録媒体は、劣化度の判定対象であるバッテリーの開回路電圧と前記劣化度の判定対象であるバッテリーの充電状態との関係を表す電圧−充電状態特性データと、未使用時のバッテリーの充電状態と内部抵抗との関係を表す第１の充電状態−抵抗特性データと、寿命時のバッテリーの充電状態と内部抵抗との関係を表す第２の充電状態−抵抗特性データと、前記未使用時のバッテリーの内部抵抗と温度との関係を表す第１の抵抗−温度特性データと、前記寿命時のバッテリーの内部抵抗と温度との関係を表す第２の抵抗−温度特性データとを記憶装置に格納し、これらのデータに基づいて前記劣化度の判定対象であるバッテリーの劣化度を算出する劣化度判定装置における劣化度算出プログラムを記録した記録媒体であって、電圧センサで測定された前記開回路電圧から、前記電圧−充電状態特性データに基づいて前記劣化度の判定対象であるバッテリーの充電状態を算出する充電状態算出処理と、この充電状態算出処理で算出された前記充電状態から前記第１の充電状態−抵抗特性データに基づいて、前記未使用時のバッテリーの内部抵抗を算出するとともに、前記充電状態から前記第２の充電状態−抵抗特性データに基づいて、前記寿命時のバッテリーの内部抵抗を算出する内部抵抗データ算出処理と、この内部抵抗データ算出処理で算出された前記未使用時のバッテリーの内部抵抗を前記第１の抵抗−温度特性データと温度センサで測定された温度とに基づいて温度補正するとともに、前記寿命時のバッテリーの内部抵抗を前記第２の抵抗−温度特性データと前記温度センサで測定された温度とに基づいて温度補正する温度補正処理と、前記電圧センサで測定された前記開回路電圧と、前記劣化度の判定対象であるバッテリーの放電時における電流と電圧との相関関係とに基づいて、前記劣化度の判定対象であるバッテリーの内部抵抗を算出する内部抵抗算出処理と、この内部抵抗算出処理で算出された前記劣化度の判定対象であるバッテリーの内部抵抗と、温度補正された前記未使用時のバッテリーの内部抵抗と、温度補正された前記寿命時のバッテリーの内部抵抗とに基づいて、前記劣化度の判定対象であるバッテリーの劣化度を算出する劣化度算出処理とを含むことを特徴とする。
【００１８】
この請求項２の発明によれば、内部抵抗を温度補正するだけではなく、充電状態をも考慮にいれて劣化度を算出するので、より正確な劣化度の判定が可能となる。
【００１９】
さらに、劣化度Ａ（％）を具体的な数値として算出することによって、劣化の進行具合を客観的に把握することができる。
【００２０】
【発明の実施の形態】
まず、本実施形態のバッテリーの劣化度判定装置の構成を図１に基づいて説明する。
【００２１】
図１に示すように、本実施形態の劣化度判定装置１は、判定対象であるバッテリー２の開回路電圧（ＯＣＶ）を測定する電圧センサ３と、バッテリー２の温度を測定する温度センサ４と、バッテリー２の電流を測定する電流センサ５と、バッテリー２に接続された負荷６と、各センサからのアナログ信号をデジタル信号に変換するＡ／Ｄ変換器７と、バッテリーの劣化度を算出する劣化度算出装置８と、劣化度を算出するためのデータを格納した記憶装置９とから構成されている。
【００２２】
さらに、劣化度算出装置８は、電圧センサ４で測定された開回路電圧から、電圧−充電状態特性データに基づいて判定対象のバッテリー２の充電状態を算出する充電状態算出手段１０と、この充電状態算出手段１０で算出された充電状態から第１の充電状態−抵抗特性データに基づいて、未使用時のバッテリーの内部抵抗を算出し、同様に充電状態から第２の充電状態−抵抗特性データに基づいて、寿命時のバッテリーの内部抵抗を算出する内部抵抗データ算出手段１１と、この内部抵抗データ算出手段１１で算出された未使用時のバッテリーの内部抵抗を第１の抵抗−温度特性データと温度センサ４で測定された温度とに基づいて温度補正するとともに、寿命時のバッテリーの内部抵抗を第２の抵抗−温度特性データと温度センサ４で測定された温度とに基づいて温度補正する温度補正手段１２と、電圧センサ３で測定された開回路電圧と、判定対象のバッテリー２の放電時における電流と電圧との相関関係とに基づいて、バッテリー２の内部抵抗を算出する内部抵抗算出手段１３と、この内部抵抗算出手段１３で算出されたバッテリー２の内部抵抗と、温度補正された未使用時のバッテリーの内部抵抗と、温度補正された寿命時のバッテリーの内部抵抗とに基づいて、判定対象のバッテリー２の劣化度を算出する劣化度算出手段１４とを含んでいる。
【００２３】
なお、劣化度算出装置８は、各種の処理を行うためのＣＰＵと、この処理の命令を記憶する記憶手段とを含むマイクロコンピュータなどの通常のコンピュータシステムが含まれる。上記劣化度算出装置８に含まれる充電状態算出手段１０、内部抵抗データ算出手段１１、温度補正手段１２、内部抵抗算出手段１３、劣化度算出手段１４の各処理の命令やタイミング制約は記憶手段に保持されており、必要に応じてＣＰＵにロードされ、実行がなされる。
【００２４】
また、記憶装置９は、劣化度の判定対象であるバッテリー２の開回路電圧とバッテリー２の充電状態との関係を表す電圧−充電状態特性データと、未使用時のバッテリーの充電状態と内部抵抗との関係を表す第１の充電状態−抵抗特性データと、寿命時のバッテリーの充電状態と内部抵抗との関係を表す第２の充電状態−抵抗特性データと、未使用時のバッテリーの内部抵抗と温度との関係を表す第１の抵抗−温度特性データと、寿命時のバッテリーの内部抵抗と温度との関係を表す第２の抵抗−温度特性データとを格納している。
【００２５】
次に、図２のフローチャートに基づいて本実施形態のバッテリーの劣化度判定装置における劣化度判定処理について説明する。
【００２６】
まず、劣化度の判定対象となっているバッテリー２の無負荷で平衡状態にあるときの開回路電圧（ＯＣＶ）を電圧センサ３によって測定するとともに、電流センサ５でバッテリー２に流れる電流を測定する（Ｓ２０１）。さらに温度センサ４で、このときのバッテリー２の温度を測定する（Ｓ２０２）。この測定された温度、ＯＣＶ及び電流のアナログ信号はＡ／Ｄ変換器７でデジタル信号に変換されて劣化度算出装置８に送られる。
【００２７】
この劣化度算出装置８では、まず充電状態算出手段１０において、ＯＣＶから記憶装置９に格納されている電圧−充電状態特性データに基づいて充電状態（Ｘ）を算出する（Ｓ２０３）。この電圧−充電状態特性データは、開回路電圧（ＯＣＶ）と充電状態との関係を記録したもので、図３に示すようにＯＣＶと充電状態とは直線的な関係を持っていることが記録されている。
【００２８】
ここで、測定されたＯＣＶをＶｎ、満充電時のＯＣＶをＶｓ、放電終止時のＯＣＶをＶｅとすると、充電状態Ｘ（％）は式（１）によって計算することができる。
【００２９】
充電状態Ｘ（％）＝（Ｖｎ−Ｖｅ）／（Ｖｓ−Ｖｅ）×１００ （１）
例えば、バッテリーの初期特性からＶｓ＝１２．８６３（Ｖ）、Ｖｅ＝１１．７４３（Ｖ）とし、測定されたＯＣＶがＯＣＶ＝Ｖｎ＝１２．６３９（Ｖ）だったとすると、充電状態Ｘ（％）は式（１）により

Figure 0003868692
と計算することができる。
【００３０】
次に、このようにして充電状態Ｘ（％）が算出されると、内部抵抗データ算出手段１１は記憶装置９に格納されている第１の充電状態−抵抗特性データと第２の充電状態−抵抗特性データとを読み出して、充電状態Ｘ（％）から第１の充電状態−抵抗特性データに基づいてバッテリーの未使用時の内部抵抗Ｒｎｅｗ（Ｘ）を算出するとともに、充電状態Ｘ（％）から第２の充電状態−抵抗特性データに基づいてバッテリーの寿命時の内部抵抗Ｒａｇｅｄ（Ｘ）を算出する（Ｓ２０４）。
【００３１】
ここで、第１の充電状態−抵抗特性データは、新品のバッテリーにおける充電状態と内部抵抗との関係を測定して記録したもので、図４のＲｎｅｗに示すような相関関係が得られた。
【００３２】
同様に、第２の充電状態−抵抗特性データは、寿命が来たときのバッテリーにおける充電状態と内部抵抗との関係を測定して記録したもので、図４のＲａｇｅｄに示すような相関関係が得られた。
【００３３】
この図４に示す相関関係に基づいて、充電状態から新品時及び寿命時の内部抵抗を算出する。例えば、充電状態が８０％のときには、Ｒａｇｅｄ（８０％）＝０．０１２８（Ω）、Ｒｎｅｗ（８０％）＝０．００７６（Ω）と求めることができる。
【００３４】
ただし、図４に示すように、バッテリーの内部抵抗はバッテリーの充電状態によって変化する。とくに、充電状態が高いところでは、内部抵抗は充電状態に対して直線的な変化を示すが、充電状態が低いところでは急激な増加を示す。
【００３５】
ここで、後で述べる劣化度Ａ（％）の算出では、内部抵抗と充電状態とが直線的な関係をもつ領域でのみ意味のある劣化度を算出できるので、この直線関係が成り立つ充電状態領域における充電状態と内部抵抗との相関関係を第１の充電状態−抵抗特性データ及び第２の充電状態−抵抗特性データとして記憶装置９に格納しておく。
【００３６】
次に、新品時の内部抵抗Ｒｎｅｗ（Ｘ）と寿命時の内部抵抗Ｒａｇｅｄ（Ｘ）が算出されると、温度補正手段１２はこれらの内部抵抗Ｒｎｅｗ（Ｘ）、Ｒａｇｅｄ（Ｘ）を図５に示す第１の抵抗−温度特性データ及び図６に示す第２の抵抗−温度特性データに基づいて温度補正を行う（Ｓ２０５）。
【００３７】
温度補正手段１２は、温度センサ４で測定された温度と記憶装置９に格納されている第１の抵抗−温度特性データに基づいて未使用時の内部抵抗Ｒｎｅｗ（Ｘ）の温度補正を行い、温度補正された未使用時の内部抵抗Ｒｎｅｗ（Ｘ、ｔ）を算出する。
【００３８】
同様に、温度補正手段１２は、温度センサ４で測定された温度と記憶装置９に格納されている第２の抵抗−温度特性データに基づいて寿命時の内部抵抗Ｒａｇｅｄ（Ｘ）の温度補正を行い、温度補正された寿命時の内部抵抗Ｒａｇｅｄ（Ｘ、ｔ）を算出する。
【００３９】
ここで、第１及び第２の抵抗−温度特性データは、バッテリーの内部抵抗の温度特性を記録したもので、２５℃のときの内部抵抗を１とした場合の比抵抗を示している。例えば、未使用時の２５℃のときの比抵抗は１．００、３０℃のときの比抵抗は０．９５となるので、温度補正された未使用時の内部抵抗は、それぞれ
Ｒｎｅｗ（８０％、２５℃）＝ ０．００７６×１．００＝０．００７６（Ω）、
Ｒｎｅｗ（８０％、３０℃）＝ ０．００７６×０．９５＝０．００７２２（Ω）
と算出することができる。
【００４０】
このように、充電状態Ｘ（％）における内部抵抗Ｒｎｅｗ（Ｘ）を求め、このＲｎｅｗ（Ｘ）を温度補正してＲｎｅｗ（Ｘ、ｔ）を算出するので、充電状態と温度補正の両方を考慮に入れた劣化度の算出が可能となる。
【００４１】
次に、内部抵抗算出手段１３は、開回路電圧（ＯＣＶ）から劣化度判定時のバッテリー２の内部抵抗を算出する（Ｓ２０６）。
【００４２】
まず、バッテリーを放電させると、図７に示すように時間の経過に伴って放電電流が増加していき、一定の電流値に達したところで放電電流は減少し始め、その後、電流値は０になる。
【００４３】
このときの電流−電圧特性を図８に示す。この図８において、放電前にはバッテリーの電圧はＯＣＶを示しており、放電が開始されると電圧は放電電流増加時にはＶａの直線にしたがって変化し、その後放電電流減少時にはＶｂの直線にしたがって変化して電流値は０になる。このとき、放電電流値が０（Ａ）になったところでもバッテリーの電圧がＯＣＶまで復帰しないのはバッテリー中で濃度分極等の原因により電圧降下を示すためである。
【００４４】
内部抵抗算出手段１３は、バッテリー２を放電させて電流と電圧との関係をサンプリングし、図８に示すような電流−電圧特性データを得る。
【００４５】
ここで、バッテリーの放電電流増加時の電流と電圧との間には、バッテリーの電圧値をＶ、放電電流値をＩ、バッテリーの内部抵抗をＲとすると
Ｖ＝Ｒ×Ｉ＋ＯＣＶ （２）
の関係が成り立つことから、図８に示す電流−電圧特性データの放電電流増加時の関係に基づいてバッテリーの内部抵抗Ｒを算出することができる。例えば、図８ではＲ＝−０．００８０と計算することができる。
【００４６】
このようにして、劣化度判定時の内部抵抗Ｒと温度補正された未使用時の内部抵抗Ｒｎｅｗ（Ｘ、ｔ）と温度補正された寿命時の内部抵抗Ｒａｇｅｄ（Ｘ、ｔ）とが求められたら、劣化度算出手段１４は次式によって劣化度Ａ（％）を算出する（Ｓ２０７）。
【００４７】
Ａ(％)＝{(Ｒ−Ｒnew(X、t))／(Ｒaged(X、t)−Ｒnew(X、t))}×１００ （３）例えば、上述した数値、Ｒ＝０．００８０（Ω）、Ｒnew(８０％、２５℃)＝０．００７６（Ω）、Ｒaged(８０％、２５℃)＝０．０１２８（Ω）を用いて、計算すると
Figure 0003868692
と計算することができる。
【００４８】
このように、劣化度Ａ（％）を具体的な数値として算出することによって、劣化の進行具合を客観的に把握することができる。
【００４９】
なお、上述した劣化度判定装置の各処理を実現するためのプログラムは記録媒体に保存することができ、この記録媒体をコンピュータシステムによって読み込ませることにより、前記プログラムを実行してコンピュータを制御しながら上述した劣化度判定装置の各処理を実現することができる。ここで、前記記録媒体とは、メモリ装置、磁気ディスク装置、光ディスク装置等、プログラムを記録することができるような装置が含まれる。
【００５０】
【発明の効果】
以上説明したように、本発明のバッテリーの劣化度判定装置及びバッテリーの劣化度判定装置における劣化度算出プログラムを記録した記録媒体によれば、内部抵抗を温度補正するだけではなく、充電状態をも考慮にいれて劣化度を算出するので、より正確な劣化度の判定が可能となる。
【００５１】
さらに、劣化度Ａ（％）を具体的な数値として算出することによって、劣化の進行具合を客観的に把握することができる。
【図面の簡単な説明】
【図１】本発明によるバッテリーの劣化度判定装置の一実施形態の構成を示すブロック図である。
【図２】図１に示す劣化度判定装置における劣化度算出処理を説明するためのフローチャートである。
【図３】図１に示す記憶装置９に格納された電圧−充電状態特性データの一例を示す図である。
【図４】図１に示す記憶装置９に格納された第１及び第２の充電状態−抵抗特性データの一例を示す図である。
【図５】図１に示す記憶装置９に格納された第１の抵抗−温度特性データの一例を示す図である。
【図６】図１に示す記憶装置９に格納された第２の抵抗−温度特性データの一例を示す図である。
【図７】図１に示すバッテリー２の放電時の電流と時間の関係を示す図である。
【図８】図１に示すバッテリー２の放電時の電流−電圧特性の一例を示す図である。
【図９】従来の鉛蓄電池の寿命判定装置の構成を示すブロック図である。
【符号の説明】
１ 劣化度判定装置
２ バッテリー
３ 電圧センサ
４ 温度センサ
５ 電流センサ
６ 負荷
７ Ａ／Ｄ変換器
８ 劣化度算出装置
９ 記憶装置
１０ 充電状態算出手段
１１ 内部抵抗データ算出手段
１２ 温度補正手段
１３ 内部抵抗算出手段
１４ 劣化度算出手段
１０１ 寿命判定装置
１０２ 鉛蓄電池
１０３ 内部抵抗測定手段
１０４ 温度測定手段
１０５ 温度補正手段
１０６ 寿命判定手段[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a deterioration degree determination apparatus for determining a deterioration degree of a battery, and in particular, a deterioration degree determination apparatus for a battery capable of determining a deterioration degree in consideration of a battery temperature and a charged state, and deterioration of the battery. The present invention relates to a recording medium on which a deterioration degree calculation program in a degree determination device is recorded.
[0002]
[Prior art]
Conventionally, the degree of deterioration of a battery is determined by the human sense that startability has deteriorated in the case of lead batteries for automobiles, and that the mileage has decreased in the case of batteries for driving electric vehicles. It was judged.
[0003]
Therefore, in order to objectively determine the degree of deterioration of the battery, that is, the lifetime, the lifetime of the battery is related to the internal resistance of the battery. Therefore, the lifetime of the battery can be determined by measuring the internal resistance of the battery. It was done.
[0004]
Furthermore, since the internal resistance varies depending on the temperature, the life of the lead storage battery is more accurately determined by correcting the temperature of the internal resistance.
[0005]
Such a conventional lead storage battery life determination device will be described with reference to FIG.
[0006]
As shown in FIG. 9, a conventional lead storage battery life determination device 101 includes an internal resistance measurement unit 103 that measures the internal resistance of the lead storage battery 102, a temperature measurement unit 104 that measures the temperature of the lead storage battery 102, and a temperature measurement. Based on the temperature measured by the means 104, temperature correction means 105 for correcting the temperature of the internal resistance measured by the internal resistance measurement means 103, and determining the life of the lead storage battery 102 based on the temperature-corrected internal resistance. It is comprised from the lifetime determination means 106. FIG.
[0007]
In this life determination apparatus 101, first, the internal resistance of the lead storage battery 102 is measured by the internal resistance measuring means 103, and the temperature at that time is measured by the temperature measuring means 104 and transmitted to the temperature correcting means 105. The temperature correction unit 105 corrects the internal resistance measured by the internal resistance measurement unit 103 based on the temperature measured by the temperature measurement unit 104. At this time, the temperature correction means 105 stores a temperature-internal resistance characteristic measured in advance, and performs temperature correction of the internal resistance based on the stored characteristic.
[0008]
The temperature-corrected internal resistance value is sent to the life determining means 106, which compares the stored internal resistance data at the time of battery life with the temperature-corrected internal resistance. Judgment is made.
[0009]
[Problems to be solved by the invention]
However, the internal resistance of the storage battery varies not only with temperature but also with the state of charge of the storage battery.
[0010]
Therefore, there is a problem that the life of the storage battery is erroneously determined only by correcting the internal resistance by temperature as in the conventional life determination device as described above.
[0011]
Furthermore, the cause of the internal resistance of the battery can be divided into several causes such as between the terminals and electrodes, the electrical resistance of the electrolyte, and the chemical reaction. Therefore, when comparing between a new product and a deteriorated product, it is possible to accurately determine the lifetime by dividing the comparison into specific resistance components, but in this case, the problem is that the apparatus becomes complicated was there.
[0012]
For example, the resistance component of the internal resistance can be divided into an ohmic resistance component, an activation polarization component, and a concentration polarization component. Generally, in order to measure these separately, an AC component is applied and this AC component is applied. It can be measured by changing the frequency of the component. However, in order to apply alternating current at a constant frequency in this way, a very complicated device is required.
[0013]
The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a battery deterioration degree determination device and a battery that can determine the life of a battery in consideration of not only the temperature but also the state of charge of the storage battery. Another object of the present invention is to provide a recording medium on which a deterioration degree calculation program is recorded.
[0014]
[Means for Solving the Problems]
In order to achieve the above object, a battery deterioration degree determination device according to a first aspect of the present invention is a deterioration degree determination apparatus that calculates a deterioration degree of a battery, and that opens a battery that is a deterioration degree determination target. Voltage representing the relationship between the circuit voltage and the state of charge of the battery that is the determination target of the deterioration level—Charge state characteristic data; and the first state of charge representing the relationship between the state of charge of the battery and the internal resistance when not in use— Resistance characteristic data, second charge state-resistance characteristic data representing the relationship between the state of charge and internal resistance of the battery at the time of life, and a first relationship representing the relationship between the internal resistance and temperature of the battery when not in use. A storage device for storing resistance-temperature characteristic data and second resistance-temperature characteristic data representing a relationship between the internal resistance and temperature of the battery at the time of the lifetime, and a battery of which the deterioration degree is to be determined A temperature sensor that measures the degree of deterioration, a voltage sensor that measures the voltage of the battery that is the determination target of the deterioration degree, a current sensor that measures the current flowing through the battery that is the determination target of the deterioration degree, and the voltage sensor Charge state calculation means for calculating a charge state of the battery whose deterioration degree is to be determined based on the voltage-charge state characteristic data, and the charge calculated by the charge state calculation means. Based on the first charging state-resistance characteristic data from the state, the internal resistance of the battery when not in use is calculated, and from the charging state, based on the second charging state-resistance characteristic data, the lifetime Internal resistance data calculation means for calculating the internal resistance of the battery at the time, and the unused battery calculated by the internal resistance data calculation means The temperature of the internal resistance is corrected based on the first resistance-temperature characteristic data and the temperature measured by the temperature sensor, and the internal resistance of the battery at the time of the lifetime is calculated based on the second resistance-temperature characteristic data and the temperature Temperature correction means for correcting the temperature based on the temperature measured by the temperature sensor, the open circuit voltage measured by the voltage sensor, and the current and voltage at the time of discharging the battery that is the determination target of the deterioration degree Based on the correlation, the internal resistance calculation means for calculating the internal resistance of the battery that is the determination target of the deterioration degree, and the internal resistance of the battery that is the determination target of the deterioration degree calculated by the internal resistance calculation means The deterioration degree is determined based on the temperature-corrected internal resistance of the battery when not in use and the temperature-corrected internal resistance of the battery at the end of life. And a deterioration degree calculating means for calculating a deterioration degree of a certain battery.
[0015]
According to the first aspect of the present invention, the degree of deterioration is calculated not only by correcting the temperature of the internal resistance but also taking the state of charge into consideration, so that the degree of deterioration can be determined more accurately.
[0016]
Furthermore, by calculating the deterioration degree A (%) as a specific numerical value, it is possible to objectively grasp the progress of deterioration.
[0017]
According to a second aspect of the present invention, there is provided a recording medium in which a deterioration degree calculation program in a battery deterioration degree determination device is recorded. Voltage-charge state characteristic data representing the relationship with the charge state, first charge state-resistance characteristic data representing the relationship between the charge state of the battery when not in use and the internal resistance, and the charge state of the battery at the end of its life A second charge state-resistance characteristic data representing a relationship with the internal resistance; a first resistance-temperature characteristic data representing a relationship between the internal resistance of the battery when not in use; and a temperature; Second resistance-temperature characteristic data representing the relationship between the internal resistance and temperature is stored in the storage device, and the deterioration degree of the battery that is the object of determination of the deterioration degree is calculated based on these data. A recording medium in which a deterioration degree calculation program is recorded in a deterioration degree determination device that performs a deterioration degree determination based on the voltage-charge state characteristic data from the open circuit voltage measured by a voltage sensor And calculating the internal resistance of the battery when not in use based on the first charge state-resistance characteristic data from the charge state calculated in the charge state calculation process. In addition, based on the second state of charge-resistance characteristic data from the state of charge, the internal resistance data calculation process for calculating the internal resistance of the battery at the time of life, and the internal resistance data calculation process calculated by the internal resistance data calculation process The internal resistance of the battery when not in use is temperature-corrected based on the first resistance-temperature characteristic data and the temperature measured by the temperature sensor. Both the temperature correction processing for correcting the internal resistance of the battery at the time of the lifetime based on the second resistance-temperature characteristic data and the temperature measured by the temperature sensor, and the opening measured by the voltage sensor. An internal resistance calculation process for calculating an internal resistance of the battery as a determination target of the deterioration degree based on a circuit voltage and a correlation between a current and a voltage when the battery as a determination target of the deterioration degree is discharged; The internal resistance of the battery that is the determination target of the degree of deterioration calculated in the internal resistance calculation process, the internal resistance of the battery that is not used after the temperature correction, and the internal resistance of the battery that is temperature-corrected during the lifetime And a deterioration level calculation process for calculating the deterioration level of the battery that is the determination target of the deterioration level.
[0018]
According to the second aspect of the present invention, the degree of deterioration is calculated not only by correcting the temperature of the internal resistance but also taking the state of charge into consideration, so that the degree of deterioration can be determined more accurately.
[0019]
Furthermore, by calculating the deterioration degree A (%) as a specific numerical value, it is possible to objectively grasp the progress of deterioration.
[0020]
DETAILED DESCRIPTION OF THE INVENTION
First, the configuration of the battery deterioration degree determination apparatus according to the present embodiment will be described with reference to FIG.
[0021]
As shown in FIG. 1, the deterioration degree determination apparatus 1 of the present embodiment includes a voltage sensor 3 that measures an open circuit voltage (OCV) of a battery 2 that is a determination target, and a temperature sensor 4 that measures the temperature of the battery 2. A current sensor 5 for measuring the current of the battery 2, a load 6 connected to the battery 2, an A / D converter 7 for converting an analog signal from each sensor into a digital signal, and a degree of deterioration of the battery are calculated. It comprises a deterioration degree calculating device 8 and a storage device 9 storing data for calculating the deterioration degree.
[0022]
Further, the deterioration degree calculation device 8 includes a charge state calculation unit 10 that calculates the charge state of the battery 2 to be determined based on the voltage-charge state characteristic data from the open circuit voltage measured by the voltage sensor 4, and this charge. The internal resistance of the battery when not in use is calculated from the charge state calculated by the state calculation means 10 based on the first charge state-resistance characteristic data. Similarly, the second charge state-resistance characteristic data is calculated from the charge state. Based on the internal resistance data calculation means 11 for calculating the internal resistance of the battery at the time of life, and the internal resistance of the battery when not in use calculated by the internal resistance data calculation means 11 as the first resistance-temperature characteristic data. And the temperature measured by the temperature sensor 4, and the internal resistance of the battery at the time of life is measured by the second resistance-temperature characteristic data and the temperature sensor 4. Based on the temperature correction means 12 for correcting the temperature based on the measured temperature, the open circuit voltage measured by the voltage sensor 3, and the correlation between the current and voltage at the time of discharging the battery 2 to be determined, the battery The internal resistance of the battery 2 calculated by the internal resistance calculation means 13, the temperature-corrected internal resistance of the battery when not in use, and the temperature-corrected lifetime. Deterioration degree calculating means 14 for calculating the deterioration degree of the battery 2 to be determined based on the internal resistance of the battery at the time.
[0023]
The degradation degree calculation device 8 includes a normal computer system such as a microcomputer including a CPU for performing various processes and a storage unit for storing instructions for the processes. Instructions and timing constraints for each processing of the charging state calculation means 10, internal resistance data calculation means 11, temperature correction means 12, internal resistance calculation means 13, and deterioration degree calculation means 14 included in the deterioration degree calculation device 8 are stored in the storage means. It is held, loaded into the CPU as necessary, and executed.
[0024]
In addition, the storage device 9 includes voltage-charge state characteristic data representing the relationship between the open circuit voltage of the battery 2 to be determined for the degree of deterioration and the state of charge of the battery 2, and the state of charge and internal resistance of the battery when not in use. The first charging state-resistance characteristic data representing the relationship between the battery and the second charging state-resistance characteristic data representing the relationship between the state of charge of the battery during the life and the internal resistance, and the internal resistance of the battery when not in use The first resistance-temperature characteristic data representing the relationship between the temperature and the temperature, and the second resistance-temperature characteristic data representing the relationship between the internal resistance of the battery at the end of its life and the temperature are stored.
[0025]
Next, the deterioration degree determination process in the battery deterioration degree determination apparatus of this embodiment will be described based on the flowchart of FIG.
[0026]
First, the open circuit voltage (OCV) when the battery 2 to be judged for deterioration is in an equilibrium state with no load is measured by the voltage sensor 3, and the current flowing through the battery 2 is measured by the current sensor 5. (S201). Further, the temperature of the battery 2 at this time is measured by the temperature sensor 4 (S202). The analog signals of the measured temperature, OCV and current are converted into digital signals by the A / D converter 7 and sent to the deterioration degree calculation device 8.
[0027]
In the deterioration degree calculating device 8, first, the charging state calculating means 10 calculates the charging state (X) based on the voltage-charging state characteristic data stored in the storage device 9 from the OCV (S203). This voltage-charge state characteristic data records the relationship between the open circuit voltage (OCV) and the state of charge, and records that the OCV and the state of charge have a linear relationship as shown in FIG. Has been.
[0028]
Here, assuming that the measured OCV is Vn, the OCV at full charge is Vs, and the OCV at the end of discharge is Ve, the state of charge X (%) can be calculated by equation (1).
[0029]
Charge state X (%) = (Vn−Ve) / (Vs−Ve) × 100 (1)
For example, assuming that Vs = 12.863 (V) and Ve = 11.743 (V) from the initial characteristics of the battery, and the measured OCV is OCV = Vn = 12.639 (V), the state of charge X (% ) According to equation (1)
Figure 0003868692
And can be calculated.
[0030]
Next, when the state of charge X (%) is calculated in this way, the internal resistance data calculation means 11 performs first charging state stored in the storage device 9 -resistance characteristic data and second charging state- The resistance characteristic data is read out, and the internal resistance Rnew (X) when the battery is not used is calculated from the charging state X (%) based on the first charging state-resistance characteristic data, and the charging state X (%) Based on the second charge state-resistance characteristic data, the internal resistance Raged (X) at the time of battery life is calculated (S204).
[0031]
Here, the first state of charge-resistance characteristic data was recorded by measuring the relationship between the state of charge and the internal resistance of a new battery, and a correlation as shown by Rnew in FIG. 4 was obtained.
[0032]
Similarly, the second charge state-resistance characteristic data is obtained by measuring and recording the relationship between the charge state of the battery and the internal resistance at the end of its life, and has a correlation as shown by Raged in FIG. Obtained.
[0033]
Based on the correlation shown in FIG. 4, the internal resistance at the time of a new article and at the end of life is calculated from the charged state. For example, when the state of charge is 80%, Raged (80%) = 0.0128 (Ω) and Rnew (80%) = 0.766 (Ω) can be obtained.
[0034]
However, as shown in FIG. 4, the internal resistance of the battery varies depending on the state of charge of the battery. In particular, when the state of charge is high, the internal resistance changes linearly with respect to the state of charge, but when the state of charge is low, it shows a rapid increase.
[0035]
Here, in the calculation of the deterioration degree A (%) described later, since a meaningful deterioration degree can be calculated only in a region where the internal resistance and the charge state have a linear relationship, the charge state region where this linear relationship is established. Are stored in the storage device 9 as first charge state-resistance characteristic data and second charge state-resistance characteristic data.
[0036]
Next, when the internal resistance Rnew (X) at the time of a new product and the internal resistance Raged (X) at the time of life are calculated, the temperature correction means 12 shows these internal resistances Rnew (X) and Raged (X) in FIG. Temperature correction is performed based on the first resistance-temperature characteristic data shown and the second resistance-temperature characteristic data shown in FIG. 6 (S205).
[0037]
The temperature correction means 12 corrects the temperature of the internal resistance Rnew (X) when not in use based on the temperature measured by the temperature sensor 4 and the first resistance-temperature characteristic data stored in the storage device 9. The temperature-corrected internal resistance Rnew (X, t) when not in use is calculated.
[0038]
Similarly, the temperature correction unit 12 corrects the temperature of the internal resistance Raged (X) at the time of life based on the temperature measured by the temperature sensor 4 and the second resistance-temperature characteristic data stored in the storage device 9. And calculate the internal resistance Raged (X, t) at the time of the temperature corrected.
[0039]
Here, the first and second resistance-temperature characteristic data are records of the temperature characteristics of the internal resistance of the battery, and indicate the specific resistance when the internal resistance is 1 at 25.degree. For example, since the specific resistance at 25 ° C. when not in use is 1.00 and the specific resistance at 30 ° C. is 0.95, the temperature-corrected internal resistance is Rnew (80% , 25 ° C.) = 0.0076 × 1.00 = 0.0076 (Ω),
Rnew (80%, 30 ° C) = 0.0076 x 0.95 = 0.00722 (Ω)
Can be calculated.
[0040]
Thus, the internal resistance Rnew (X) in the state of charge X (%) is obtained, and the temperature is corrected for this Rnew (X) to calculate Rnew (X, t). Therefore, both the state of charge and the temperature correction are considered. It is possible to calculate the degree of deterioration included in the.
[0041]
Next, the internal resistance calculation means 13 calculates the internal resistance of the battery 2 at the time of deterioration determination from the open circuit voltage (OCV) (S206).
[0042]
First, when the battery is discharged, as shown in FIG. 7, the discharge current increases as time passes. When the battery reaches a certain current value, the discharge current starts decreasing, and then the current value becomes zero. Become.
[0043]
The current-voltage characteristic at this time is shown in FIG. In FIG. 8, the battery voltage indicates OCV before discharging, and when discharging starts, the voltage changes according to the Va line when the discharging current increases, and then changes according to the Vb line when the discharging current decreases. As a result, the current value becomes zero. At this time, the reason why the voltage of the battery does not return to OCV even when the discharge current value becomes 0 (A) is that the voltage drops due to concentration polarization or the like in the battery.
[0044]
The internal resistance calculation means 13 discharges the battery 2 and samples the relationship between current and voltage, and obtains current-voltage characteristic data as shown in FIG.
[0045]
Here, if the battery voltage value is V, the discharge current value is I, and the internal resistance of the battery is R between the current and voltage when the battery discharge current increases, V = R × I + OCV (2)
Therefore, the internal resistance R of the battery can be calculated based on the relationship when the discharge current increases in the current-voltage characteristic data shown in FIG. For example, in FIG. 8, R = −0.0080 can be calculated.
[0046]
In this way, the internal resistance R at the time of deterioration degree determination, the temperature-corrected internal resistance Rnew (X, t) when not used, and the temperature-corrected internal resistance Raged (X, t) at the lifetime are obtained. Then, the deterioration degree calculating means 14 calculates the deterioration degree A (%) by the following equation (S207).
[0047]
A (%) = {(R−Rnew (X, t)) / (Raged (X, t) −Rnew (X, t))} × 100 (3) For example, the above-described numerical value, R = 0.080 ( Ω), Rnew (80%, 25 ° C) = 0.0076 (Ω), Raged (80%, 25 ° C) = 0.0128 (Ω)
Figure 0003868692
And can be calculated.
[0048]
Thus, by calculating the deterioration degree A (%) as a specific numerical value, it is possible to objectively grasp the progress of deterioration.
[0049]
Note that a program for realizing each process of the above-described deterioration degree determination apparatus can be stored in a recording medium, and the recording medium is read by a computer system, thereby executing the program and controlling the computer. Each process of the above-described deterioration degree determination apparatus can be realized. Here, the recording medium includes a device capable of recording a program, such as a memory device, a magnetic disk device, and an optical disk device.
[0050]
【The invention's effect】
As described above, according to the battery deterioration degree determination apparatus and the recording medium in which the deterioration degree calculation program in the battery deterioration degree determination apparatus of the present invention is recorded, not only the internal resistance is temperature-corrected but also the state of charge is maintained. Since the deterioration degree is calculated in consideration, it is possible to more accurately determine the deterioration degree.
[0051]
Furthermore, by calculating the deterioration degree A (%) as a specific numerical value, it is possible to objectively grasp the progress of deterioration.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a configuration of an embodiment of a battery deterioration degree determination apparatus according to the present invention.
FIG. 2 is a flowchart for explaining deterioration degree calculation processing in the deterioration degree determination apparatus shown in FIG. 1;
3 is a diagram showing an example of voltage-charge state characteristic data stored in the storage device 9 shown in FIG. 1; FIG.
4 is a diagram showing an example of first and second charge state-resistance characteristic data stored in the storage device 9 shown in FIG. 1; FIG.
FIG. 5 is a diagram showing an example of first resistance-temperature characteristic data stored in the storage device 9 shown in FIG. 1;
6 is a diagram showing an example of second resistance-temperature characteristic data stored in the storage device 9 shown in FIG. 1. FIG.
7 is a diagram showing a relationship between current and time when the battery 2 shown in FIG. 1 is discharged. FIG.
FIG. 8 is a diagram showing an example of current-voltage characteristics when the battery 2 shown in FIG. 1 is discharged.
FIG. 9 is a block diagram showing a configuration of a conventional lead-acid battery life determination device.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 Deterioration degree determination apparatus 2 Battery 3 Voltage sensor 4 Temperature sensor 5 Current sensor 6 Load 7 A / D converter 8 Deterioration degree calculation apparatus 9 Storage device 10 Charging state calculation means 11 Internal resistance data calculation means 12 Temperature correction means 13 Internal resistance Calculation means 14 Degradation degree calculation means 101 Life determination device 102 Lead storage battery 103 Internal resistance measurement means 104 Temperature measurement means 105 Temperature correction means 106 Life determination means

Claims (2)

バッテリーの劣化度を算出する劣化度判定装置であって、
劣化度の判定対象であるバッテリーの開回路電圧と前記劣化度の判定対象であるバッテリーの充電状態との関係を表す電圧−充電状態特性データと、未使用時のバッテリーの充電状態と内部抵抗との関係を表す第１の充電状態−抵抗特性データと、寿命時のバッテリーの充電状態と内部抵抗との関係を表す第２の充電状態−抵抗特性データと、前記未使用時のバッテリーの内部抵抗と温度との関係を表す第１の抵抗−温度特性データと、前記寿命時のバッテリーの内部抵抗と温度との関係を表す第２の抵抗−温度特性データとを格納する記憶装置と、
前記劣化度の判定対象であるバッテリーの温度を測定する温度センサと、
前記劣化度の判定対象であるバッテリーの電圧を測定する電圧センサと、
前記劣化度の判定対象であるバッテリーに流れる電流を測定する電流センサと、
前記電圧センサで測定された前記開回路電圧から、前記電圧−充電状態特性データに基づいて前記劣化度の判定対象であるバッテリーの充電状態を算出する充電状態算出手段と、
この充電状態算出手段で算出された前記充電状態から前記第１の充電状態−抵抗特性データに基づいて、前記未使用時のバッテリーの内部抵抗を算出するとともに、前記充電状態から前記第２の充電状態−抵抗特性データに基づいて、前記寿命時のバッテリーの内部抵抗を算出する内部抵抗データ算出手段と、
この内部抵抗データ算出手段で算出された前記未使用時のバッテリーの内部抵抗を前記第１の抵抗−温度特性データと前記温度センサで測定された温度とに基づいて温度補正するとともに、前記寿命時のバッテリーの内部抵抗を前記第２の抵抗−温度特性データと前記温度センサで測定された温度とに基づいて温度補正する温度補正手段と、
前記電圧センサで測定された前記開回路電圧と、前記劣化度の判定対象であるバッテリーの放電時における電流と電圧との相関関係とに基づいて、前記劣化度の判定対象であるバッテリーの内部抵抗を算出する内部抵抗算出手段と、
この内部抵抗算出手段で算出された前記劣化度の判定対象であるバッテリーの内部抵抗と、温度補正された前記未使用時のバッテリーの内部抵抗と、温度補正された前記寿命時のバッテリーの内部抵抗とに基づいて、前記劣化度の判定対象であるバッテリーの劣化度を算出する劣化度算出手段と
を含むことを特徴とするバッテリーの劣化度判定装置。A degradation level determination device for calculating a degradation level of a battery,
Voltage-charge state characteristic data representing the relationship between the open circuit voltage of the battery that is the determination target of the deterioration degree and the charge state of the battery that is the determination target of the deterioration degree, the charge state and the internal resistance of the battery when not in use The first charge state-resistance characteristic data representing the relationship between the battery, the second charge state-resistance characteristic data representing the relationship between the charge state of the battery at the end of its life and the internal resistance, and the internal resistance of the battery when not in use A storage device for storing first resistance-temperature characteristic data representing a relationship between temperature and temperature, and second resistance-temperature characteristic data representing a relationship between the internal resistance and temperature of the battery at the time of the lifetime;
A temperature sensor that measures the temperature of the battery that is the determination target of the deterioration degree;
A voltage sensor that measures a voltage of a battery that is a determination target of the deterioration degree;
A current sensor for measuring a current flowing in a battery which is a determination target of the deterioration degree;
Charge state calculation means for calculating a charge state of a battery which is a determination target of the deterioration degree based on the voltage-charge state characteristic data from the open circuit voltage measured by the voltage sensor;
Based on the first charge state-resistance characteristic data from the charge state calculated by the charge state calculation means, the internal resistance of the battery when not in use is calculated, and the second charge is calculated from the charge state. Internal resistance data calculating means for calculating the internal resistance of the battery at the time of the lifetime based on the state-resistance characteristic data;
The internal resistance of the battery calculated by the internal resistance data calculating means is temperature-corrected based on the first resistance-temperature characteristic data and the temperature measured by the temperature sensor, and at the time of the lifetime. Temperature correcting means for correcting the internal resistance of the battery based on the second resistance-temperature characteristic data and the temperature measured by the temperature sensor;
Based on the open circuit voltage measured by the voltage sensor and the correlation between the current and voltage at the time of discharge of the battery that is the determination target of the deterioration level, the internal resistance of the battery that is the determination target of the deterioration level Internal resistance calculating means for calculating
The internal resistance of the battery that is the determination target of the degree of deterioration calculated by the internal resistance calculation means, the internal resistance of the battery that has not been used after temperature correction, and the internal resistance of the battery that has been temperature corrected and that has been corrected. And a deterioration degree calculating means for calculating the deterioration degree of the battery that is the determination target of the deterioration degree. 劣化度の判定対象であるバッテリーの開回路電圧と前記劣化度の判定対象であるバッテリーの充電状態との関係を表す電圧−充電状態特性データと、未使用時のバッテリーの充電状態と内部抵抗との関係を表す第１の充電状態−抵抗特性データと、寿命時のバッテリーの充電状態と内部抵抗との関係を表す第２の充電状態−抵抗特性データと、前記未使用時のバッテリーの内部抵抗と温度との関係を表す第１の抵抗−温度特性データと、前記寿命時のバッテリーの内部抵抗と温度との関係を表す第２の抵抗−温度特性データとを記憶装置に格納し、これらのデータに基づいて前記劣化度の判定対象であるバッテリーの劣化度を算出する劣化度判定装置における劣化度算出プログラムを記録した記録媒体であって、
電圧センサで測定された前記開回路電圧から、前記電圧−充電状態特性データに基づいて前記劣化度の判定対象であるバッテリーの充電状態を算出する充電状態算出処理と、
この充電状態算出処理で算出された前記充電状態から前記第１の充電状態−抵抗特性データに基づいて、前記未使用時のバッテリーの内部抵抗を算出するとともに、前記充電状態から前記第２の充電状態−抵抗特性データに基づいて、前記寿命時のバッテリーの内部抵抗を算出する内部抵抗データ算出処理と、
この内部抵抗データ算出処理で算出された前記未使用時のバッテリーの内部抵抗を前記第１の抵抗−温度特性データと温度センサで測定された温度とに基づいて温度補正するとともに、前記寿命時のバッテリーの内部抵抗を前記第２の抵抗−温度特性データと前記温度センサで測定された温度とに基づいて温度補正する温度補正処理と、
前記電圧センサで測定された前記開回路電圧と、前記劣化度の判定対象であるバッテリーの放電時における電流と電圧との相関関係とに基づいて、前記劣化度の判定対象であるバッテリーの内部抵抗を算出する内部抵抗算出処理と、
この内部抵抗算出処理で算出された前記劣化度の判定対象であるバッテリーの内部抵抗と、温度補正された前記未使用時のバッテリーの内部抵抗と、温度補正された前記寿命時のバッテリーの内部抵抗とに基づいて、前記劣化度の判定対象であるバッテリーの劣化度を算出する劣化度算出処理と
を含むことを特徴とするバッテリーの劣化度判定装置における劣化度算出プログラムを記録した記録媒体。Voltage-charge state characteristic data representing the relationship between the open circuit voltage of the battery that is the determination target of the deterioration degree and the charge state of the battery that is the determination target of the deterioration degree, the charge state and the internal resistance of the battery when not in use The first charge state-resistance characteristic data representing the relationship between the battery, the second charge state-resistance characteristic data representing the relationship between the charge state of the battery at the end of its life and the internal resistance, and the internal resistance of the battery when not in use The first resistance-temperature characteristic data representing the relationship between the temperature and the temperature, and the second resistance-temperature characteristic data representing the relationship between the internal resistance of the battery and the temperature at the time of the lifetime are stored in a storage device, and these A recording medium recording a deterioration degree calculation program in a deterioration degree determination device that calculates a deterioration degree of a battery that is a determination target of the deterioration degree based on data,
From the open circuit voltage measured by a voltage sensor, a charge state calculation process for calculating a charge state of a battery that is a determination target of the deterioration degree based on the voltage-charge state characteristic data;
Based on the first charge state-resistance characteristic data from the charge state calculated in the charge state calculation process, the internal resistance of the battery when not in use is calculated, and the second charge is calculated from the charge state. Internal resistance data calculation processing for calculating the internal resistance of the battery at the time of the lifetime based on the state-resistance characteristic data;
The internal resistance of the unused battery calculated in the internal resistance data calculation process is corrected based on the first resistance-temperature characteristic data and the temperature measured by the temperature sensor, and at the time of the lifetime. A temperature correction process for correcting the internal resistance of the battery based on the second resistance-temperature characteristic data and the temperature measured by the temperature sensor;
Based on the open circuit voltage measured by the voltage sensor and the correlation between the current and voltage at the time of discharge of the battery that is the determination target of the deterioration level, the internal resistance of the battery that is the determination target of the deterioration level Internal resistance calculation processing for calculating
The internal resistance of the battery that is the determination target of the degree of deterioration calculated in the internal resistance calculation process, the internal resistance of the battery that is not used after the temperature correction, and the internal resistance of the battery that is temperature-corrected during the lifetime And a deterioration degree calculation process for calculating the deterioration degree of the battery that is the determination target of the deterioration degree, based on the above, a recording medium storing a deterioration degree calculation program in the battery deterioration degree determination device.
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