JPH05315015A - Capacity deterioration rate calculating method for storage battery and deterioration diagnosing device - Google Patents
Capacity deterioration rate calculating method for storage battery and deterioration diagnosing deviceInfo
- Publication number
- JPH05315015A JPH05315015A JP4120984A JP12098492A JPH05315015A JP H05315015 A JPH05315015 A JP H05315015A JP 4120984 A JP4120984 A JP 4120984A JP 12098492 A JP12098492 A JP 12098492A JP H05315015 A JPH05315015 A JP H05315015A
- Authority
- JP
- Japan
- Prior art keywords
- storage battery
- temperature
- deterioration
- calculated
- calculation
- 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.)
- Granted
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]
- G01R31/3644—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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
-
- 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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Landscapes
- Tests Of Electric Status Of Batteries (AREA)
- Secondary Cells (AREA)
Abstract
Description
【発明の詳細な説明】Detailed Description of the Invention
【０００１】[0001]
【産業上の利用分野】本発明は、蓄電池の容量劣化率を
演算する方法と劣化診断装置に関するものである。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for calculating a capacity deterioration rate of a storage battery and a deterioration diagnosis device.
【０００２】[0002]
【従来の技術】従来、鉛蓄電池の寿命や劣化程度を検知
する方法としては、（１）蓄電池の各セル電圧のばらつ
きにより検知する方法（特開平２−３０４８７６号公報
記載）、（２）鉛蓄電池の電解液である硫酸の比重測定
により検知する方法、（３）微分内部抵抗の増加により
検知する方法（特開昭６３−１６８５８２号公報記
載）、（４）鉛蓄電池の正極板の膨脹度合いにより検知
する方法（特開昭６２−４７９７５号公報記載）、
（５）液面センサーにより電解液の減少を検知する方
法、（６）蓄電池を定期的に放電試験することにより検
知する方法、（７）充電電気量を積算し、充電電気量に
基づいて寿命を推定する方法（特開平２−２８８０７５
号公報記載）、（８）蓄電池の設置経過年数よりおよそ
の劣化程度を推定する方法、などがあり通常これらの複
数項目の測定結果から総合的に容量の劣化状態が診断さ
れるが、蓄電池の充電電圧が正常範囲に管理され、また
補液式の鉛蓄電池の場合に電解液が正常範囲に管理され
ている場合は不具合品が含まれる場合を除き蓄電池の設
置環境温度が電池の寿命に最も影響する。2. Description of the Related Art Conventionally, as a method for detecting the life and deterioration degree of a lead storage battery, (1) a method of detecting the variation of each cell voltage of the storage battery (described in JP-A-2-304876), (2) lead A method of detecting by measuring the specific gravity of sulfuric acid which is an electrolytic solution of a storage battery, (3) a method of detecting by an increase in differential internal resistance (described in JP-A-63-168582), and (4) degree of expansion of a positive electrode plate of a lead storage battery. Detection method (described in JP-A-62-47975),
(5) Method of detecting decrease of electrolyte by liquid level sensor, (6) Method of detecting by periodically discharging test of storage battery, (7) Life time based on accumulated charge quantity and accumulated charge quantity Method for estimating the
No.), (8) A method of estimating the degree of deterioration from the number of years that the storage battery has been installed, etc., but normally the deterioration state of capacity is diagnosed comprehensively from the measurement results of these multiple items. When the charging voltage is controlled within the normal range, and in the case of a replenishment type lead acid battery, the electrolyte environment is controlled within the normal range, except when defective products are included. To do.
【０００３】そして上記従来の方法の（６）は、放電試
験中の事故による設備の停止の可能性もあり、通信用設
備等をバックアップしている電源では実施できないのが
殆どである。また、上記従来の方法の（８）について
は、鉛蓄電池の設置環境は、空調設備のある恒温の場所
に設置される場合もあるが、ほとんどは換気扇が付いて
いる程度で外部環境温度と同じように四季および昼夜の
温度変化のある環境に設置される場合がほとんどであ
る。それにもかかわらず、経過年数による劣化率は通常
２０〜２５℃一定環境と仮定して寿命が推定されてい
る。通常鉛蓄電池は、ある温度までは、設置環境温度が
低い方が寿命が長く容量劣化が少なくなり、反対に設置
環境温度が高くなると寿命が短くなる。例えば、トリク
ルやフロート使用における寿命は２５℃と４０℃では温
度差はわずか１５度であるが、４０℃における寿命は２
５℃の約１／３程度になり、設置環境温度が鉛蓄電池の
寿命に影響を与える大きな要因の一つになっている。こ
のため、蓄電池の設置環境温度が一定でない場合は推定
寿命と実寿命の差が大きくなり、実際の停電時に必要な
放電持続時間が維持出来なかったり、反対に蓄電池の寿
命時期と推定して交換した後、放電性能を調べると十分
性能を維持しており、資源的な無駄が発生する等の問題
点を有していた。また従来の方法はいずれも寿命時期で
あるかどうかの判定機能だけであり、寿命時期に初期容
量に対してどの程度放電可能な状態であるかの数値的な
判定演算機能を持っておらず、負荷が比較的小さい場合
は蓄電池が劣化しつつある時期でもまだ数年使用可能な
場合もあり、蓄電池設備更新の緊急度の判断があいまい
である等の問題点を有していた。The above-mentioned conventional method (6) cannot be carried out by a power source backing up communication equipment or the like because there is a possibility that the equipment may be stopped due to an accident during the discharge test. Regarding the above-mentioned conventional method (8), the installation environment of the lead storage battery may be installed in a constant temperature place with air conditioning equipment, but most of them are equipped with a ventilation fan and are the same as the external environment temperature. It is almost always installed in an environment where the temperature changes during the four seasons and day and night. Nevertheless, the life is estimated assuming that the deterioration rate due to the number of years is usually constant at 20 to 25 ° C. Normally, a lead-acid battery has a long life at a lower installation environment temperature and a smaller capacity deterioration up to a certain temperature, and conversely has a shorter life at a higher installation environment temperature. For example, the life difference in using trickle or float is only 15 degrees at 25 ° C and 40 ° C, but the life difference at 40 ° C is 2 degrees.
It becomes about 1/3 of 5 ° C, and the installation environment temperature is one of the major factors affecting the life of the lead storage battery. Therefore, when the storage environment temperature of the storage battery is not constant, the difference between the estimated service life and the actual service life becomes large, and the required discharge duration cannot be maintained at the time of an actual power failure. After that, when the discharge performance was examined, the performance was maintained sufficiently, and there was a problem such as waste of resources. In addition, each of the conventional methods has only a function of judging whether or not it is a life period, and does not have a numerical judgment calculation function of how much dischargeable state with respect to the initial capacity at the life time, When the load is comparatively small, it may still be usable for several years even when the storage battery is deteriorating, and there is a problem that the urgency of updating the storage battery equipment is ambiguous.
【０００４】[0004]
【発明が解決しようとする課題】従来の問題点は、蓄電
池の初期容量に対して、どの程度放電可能であるか、つ
まり容量劣化率が数値的に把握できない点であった。The problem with the prior art is that it is not possible to numerically grasp the extent to which the initial capacity of the storage battery can be discharged, that is, the capacity deterioration rate.
【０００５】本発明は上記従来の問題点を解消すること
を課題とするもので、実際の放電試験をしないで蓄電池
の劣化状態を判定し、負荷に対する放電可能時間を演算
して、出力するための容量劣化率を演算する方法と劣化
診断装置を提供することを目的とするものである。An object of the present invention is to solve the above-mentioned conventional problems, and to determine the deterioration state of a storage battery without performing an actual discharge test, calculate a dischargeable time for a load, and output the dischargeable time. It is an object of the present invention to provide a method for calculating the capacity deterioration rate and a deterioration diagnosis device.
【０００６】[0006]
【課題を解決するための手段】本発明の容量劣化率演算
方法および劣化診断装置は、蓄電池の表面温度測定手段
を持つマイクロプロセッサによりトリクルまたはフロー
ト使用における蓄電池の表面温度を継続的に測定し、基
準温度以下は基準温度として平均温度を算出すると共
に、前記平均温度と蓄電池の設置経過年数から本発明に
よる実験式を基に蓄電池の経年劣化率を演算し、蓄電池
の劣化状態即ち初期容量をどの程度維持している状態で
あるかを数値的に検知することを実現したものである。A method for calculating a capacity deterioration rate and a deterioration diagnosing device of the present invention continuously measure the surface temperature of a storage battery in a trickle or float use by a microprocessor having a surface temperature measuring means of the storage battery, Below the reference temperature, the average temperature is calculated as a reference temperature, and the aged deterioration rate of the storage battery is calculated based on the empirical formula according to the present invention from the average temperature and the number of years that the storage battery has been installed. It realizes to detect numerically whether or not the state is maintained.
【０００７】[0007]
【作用】本発明の構成においては、蓄電池の寿命時期に
おける放電可能時間や劣化度合を蓄電池の放電試験を行
うことなく、蓄電池の劣化状態を演算により判定し、負
荷に対する放電可能時間を知ることができ、また取り換
えが必要かどうかなどの劣化診断を行うことができるも
のである。In the structure of the present invention, the dischargeable time and the degree of deterioration of the storage battery can be determined by calculating the deterioration state of the storage battery without knowing the discharge test of the storage battery and performing the dischargeable time for the load. In addition, deterioration diagnosis such as whether replacement is necessary can be performed.
【０００８】[0008]
（実施例１）以下本発明の１実施例を示す。図１は、シ
ール形の鉛蓄電池について蓄電池温度と蓄電池設置経過
年数による容量劣化率の推移を本発明による演算式を基
にして示したものである。図１において１は蓄電池温度
が常時２０℃（本発明の実施例のシール形鉛蓄電池の基
準温度）以下の環境で使用された場合の経過年数による
容量劣化係数の標準的な推移を示している。同様に図１
において２〜５は前記平均温度が２５，３０，３５，４
０℃の場合の容量劣化係数の推移を示している。また図
１の６（Ｙｂ）は前記平均温度が２５℃における容量劣
化係数が１.0の期間、すなわち本発明の演算式１、Ｙｂ
＝ａ−ｂ×log ｔにより求められる初期の放電容量維持
期間が約５年であることを示しており、ここで実験定数
は ａ＝２５.5５ ｂ＝１４.6９ を使用している。同様に図１において７〜１０は前記平
均温度が２０，３０，３５，４０℃における容量劣化係
数が１.0の期間を示しており、４０℃では容量劣化係数
が１.0の期間が設置後約２年であることを示している。
次に鉛蓄電池の設置期間が前記容量劣化係数が１.0の期
間を過ぎた場合は本発明の演算式２、ｆ＝１−（ｃ＋ｄ
×ｔn ）×（Ｙ−Ｙｂ）m により容量劣化係数が求めら
れ、実験定数は ｃ＝３.4３×１０-5 ｄ＝２.8７×１０-8 ｎ＝３.6 ｍ＝３ を使用している。(Example 1) One example of the present invention will be described below. FIG. 1 shows the transition of the capacity deterioration rate depending on the storage battery temperature and the number of years of storage battery installation for the sealed lead storage battery based on the arithmetic expression according to the present invention. In FIG. 1, 1 indicates a standard transition of the capacity deterioration coefficient depending on the elapsed years when the storage battery temperature is always 20 ° C. (reference temperature of the sealed lead storage battery of the embodiment of the present invention) or lower. .. Similarly, FIG.
2-5, the average temperature is 25, 30, 35, 4
The change of the capacity deterioration coefficient at 0 ° C. is shown. Further, 6 (Yb) in FIG. 1 is a period in which the capacity deterioration coefficient is 1.0 at the average temperature of 25 ° C., that is, the arithmetic expression 1, Yb of the present invention.
= A−b × log t indicates that the initial discharge capacity maintenance period is about 5 years, and the experimental constants used here are a = 25.55 b = 14.69. Similarly, in FIG. 1, 7 to 10 indicate a period in which the capacity deterioration coefficient is 1.0 at the average temperature of 20, 30, 35, and 40 ° C., and a period in which the capacity deterioration coefficient is 1.0 is set at 40 ° C. It shows that it is about two years from now.
Next, when the installation period of the lead storage battery exceeds the period in which the capacity deterioration coefficient is 1.0, the calculation formula 2 of the present invention, f = 1− (c + d)
The capacity deterioration coefficient is calculated by × t n ) × (Y−Yb) m , and the experimental constant is c = 3.43 × 10 −5 d = 2.87 × 10 −8 n = 3.6 m = 3. is doing.
【０００９】（実施例２）図２には図１と同様の補液式
の大形鉛蓄電池の蓄電池設置経過年数による各平均温度
での容量劣化係数の推移を示しており、各実験定数は ａ＝５５.8８ ｂ＝３２.8２ ｃ＝５.5６×１０-6 ｄ＝４.3０×１０-6 ｎ＝４.7 ｍ＝３.0 を使用している。また基準温度は図２に示すように２５
℃に設定している。図２において１１〜１４は２５，３
０，３５，４０℃の各平均温度における劣化係数の推移
を示している。同様に図２において１５〜１８は本発明
の演算式１、Ｙｂ＝ａ−ｂ×log ｔにより求められる各
平均温度における劣化係数が１.0の期間を示している。(Embodiment 2) FIG. 2 shows the transition of the capacity deterioration coefficient at each average temperature according to the years of storage battery installation of a replenishment type large lead acid battery similar to that of FIG. 1, and each experimental constant is a = 5.588 b = 32.82 c = 5.56 × 10 −6 d = 4.30 × 10 −6 n = 4.7 m = 3.0. The reference temperature is 25 as shown in FIG.
Set to ℃. In FIG. 2, 11 to 14 are 25 and 3
The change of the deterioration coefficient in each average temperature of 0,35,40 degreeC is shown. Similarly, reference numerals 15 to 18 in FIG. 2 denote periods in which the deterioration coefficient at each average temperature is 1.0, which is obtained by the calculation formula 1 of the present invention, Yb = ab × log t.
【００１０】（実施例３）図３は本発明の実施例を示す
鉛蓄電池の劣化診断装置のブロック図である。図３にお
いて１９Ａは制御・演算部であるマイクロプロセッサ、
２０はプログラムメモリ、２１は停電等の時に放電可能
時間を演算するための蓄電池の標準特性データや蓄電池
の設置日付および劣化係数等を格納したバッテリーバッ
クアップ付メモリでＩＣ−ＲＡＭカード等を使用する。
２２はモデム（２３Ａ，２３Ｂ）を介してパーソナルコ
ンピュータ（ＰＣ）等ホストＣＰＵ（１９Ｂ）にデータ
を送信するためのＲＳ−２３２Ｃインターフェイスであ
る。２４はカレンダーＩＣでメモリ（２１）に格納され
ている蓄電池の設置日付から蓄電池設備設置後の経過年
数を演算するため等に使用する。２５は入出力インター
フェイスで、２６の操作スイッチや蓄電池の劣化係数や
停電時の放電可能時間を表示する液晶等の表示装置（２
７）や蓄電池の温度データ（２９）、蓄電池電圧データ
（３０）、蓄電池放電電流データ（３１）のアナログデ
ータをマイクロプロセッサ（１９Ａ）に取り込むＡ／Ｄ
コンバータ（２８）等を接続する。(Embodiment 3) FIG. 3 is a block diagram of a lead-acid battery deterioration diagnosing apparatus showing an embodiment of the present invention. In FIG. 3, 19A is a microprocessor which is a control / arithmetic unit,
Reference numeral 20 is a program memory, and 21 is a memory with a battery backup that stores standard characteristic data of a storage battery for calculating a dischargeable time at the time of a power failure or the like, an installation date of the storage battery, a deterioration coefficient, etc., and uses an IC-RAM card or the like.
Reference numeral 22 is an RS-232C interface for transmitting data to the host CPU (19B) such as a personal computer (PC) via the modems (23A, 23B). Reference numeral 24 is a calendar IC, which is used to calculate the number of years elapsed after the storage battery equipment is installed from the installation date of the storage battery stored in the memory (21). Reference numeral 25 denotes an input / output interface, which is a display device such as a liquid crystal display for displaying the deterioration coefficient of the operation switch and the storage battery of 26 and the dischargeable time at the time of power failure (2
7), storage battery temperature data (29), storage battery voltage data (30), storage battery discharge current data (31) analog data to the microprocessor (19A)
A converter (28) etc. are connected.
【００１１】次に本発明による前記劣化診断装置の劣化
係数の演算プロセスについて図４の１実施例のフローチ
ャートによって説明する。Next, the process of calculating the deterioration coefficient of the deterioration diagnosing device according to the present invention will be described with reference to the flowchart of the embodiment of FIG.
【００１２】１．先ず蓄電池表面の温度データ（２９）
は１時間に１回測定し、測定温度が基準温度より低い場
合は基準温度として（例えば基準温度が２０℃で測定し
た表面温度が１５℃の場合は表面温度が２０℃とする）
マイクロプロセッサ（１９Ａ）に取り込み、平均温度
（ｔ）を演算する処理を継続的にくり返す。1. First, the temperature data on the surface of the storage battery (29)
Is measured once an hour, and when the measured temperature is lower than the reference temperature, it is used as the reference temperature (for example, when the reference temperature is 20 ° C and the measured surface temperature is 15 ° C, the surface temperature is 20 ° C).
The process of taking in the microprocessor (19A) and calculating the average temperature (t) is continuously repeated.
【００１３】２．次に操作スイッチ（２６）による劣化
係数（ｆ）の演算指示またはプログラムによる演算イン
ターバル時間になった時（３２）にカレンダＩＣ（２
４）の現在日付とメモリ（２１）に記憶されている蓄電
池設備設置日付から蓄電池設置後の経過年数（Ｙ）を求
める（３３）。2. Next, when the calculation instruction of the deterioration coefficient (f) by the operation switch (26) or the calculation interval time by the program is reached (32), the calendar IC (2)
From the present date of 4) and the storage battery equipment installation date stored in the memory (21), the elapsed years (Y) after the installation of the storage battery is obtained (33).
【００１４】３．１で継続的に演算されている平均温度
（ｔ）から演算式１により劣化係数が１.0の期間（Ｙ
ｂ）を求める。From the average temperature (t) continuously calculated in 3.1, the deterioration coefficient is 1.0 (Y) according to the calculation formula 1.
Find b).
【００１５】４．設置後の経過年数（Ｙ）と劣化係数が
１.0の期間（Ｙｂ）を比較し（３５）ＹがＹｂより短い
場合は劣化係数（ｆ）を１.0とする（３７）。4. The number of years elapsed since installation (Y) is compared with the period (Yb) where the deterioration coefficient is 1.0 (35). If Y is shorter than Yb, the deterioration coefficient (f) is set to 1.0 (37).
【００１６】５．ＹがＹｂより長い場合は演算式２によ
り劣化係数（ｆ）を求める（３６）。5. When Y is longer than Yb, the deterioration coefficient (f) is calculated by the arithmetic expression 2 (36).
【００１７】以上のプロセスにより演算された劣化係数
は、操作スイッチ（２６）の操作による表示指示により
蓄電池の経年劣化係数として表示装置（２７）に表示さ
れるとともに、停電や整流器の故障時に、放電可能時間
を表示する際に前記劣化係数（ｆ）を乗じて放電可能時
間の補正を行う。なお本発明の演算式１および演算式２
は指数演算があるために蓄電池設備の近くに設置するマ
イクロプロセッサ（１９）ではプログラムメモリ（２
０）の容量が小さいので負荷が大きくなることからは、
演算式１，２の機能を付加しないで前記平均温度データ
をＲＳ−２３２Ｃインターフェイス（２２）からモデム
（２３Ａ，２３Ｂ）を介してパーソナルコンピュータ
（ＰＣ）等（１９Ｂ）に送信し、ＰＣ（１９Ｂ）側で演
算式１，２を行い演算結果の劣化係数（ｆ）を受信して
メモリ（２１）に格納するとともに表示装置（２７）に
表示したり停電時の放電可能時間の演算時に前記劣化係
数（ｆ）を乗じて放電可能時間の補正をする方がコスト
的に有利な場合があり、この場合劣化診断装置は蓄電池
設備の近くに設置した図３の装置と通常蓄電池設備から
離れた場所に設置されるＰＣ（１９Ｂ）とからなる。
（表１）は本発明の劣化診断装置を使用して２Ｖ１５０
Ａｈのシール形鉛蓄電池２５個組の蓄電池設備を４０℃
の恒温室で２.2５Ｖ／セルの電圧でトリクル充電を行
い、６ケ月に一度０.1ＣＡの定電流で放電試験を行い、
１.8Ｖ／セルまでの放電初期の放電可能時間の演算値
と、実放電時間の比較を従来の方法と比較した結果であ
る。このように従来の方法では設置後３.5年目以降の寿
命末期に実放電時間と放電可能時間の演算値の間に大き
な差が出ているが本発明による劣化診断装置を使用した
場合は、実残時間にほぼ近い予測値を出している。The deterioration coefficient calculated by the above process is displayed on the display device (27) as an aged deterioration coefficient of the storage battery according to a display instruction by operating the operation switch (26), and is discharged at the time of power failure or failure of the rectifier. When the available time is displayed, the dischargeable time is corrected by multiplying the deterioration coefficient (f). The arithmetic expression 1 and the arithmetic expression 2 of the present invention
Since there is an index calculation, the microprocessor (19) installed near the storage battery facility has a program memory (2
Since the capacity of 0) is small and the load is large,
The average temperature data is transmitted from the RS-232C interface (22) to the personal computer (PC) or the like (19B) through the modem (23A, 23B) without adding the functions of the arithmetic expressions 1 and 2, and the PC (19B) Side performs the arithmetic expressions 1 and 2, receives the deterioration coefficient (f) of the calculation result, stores it in the memory (21), displays it on the display device (27), and calculates the deterioration coefficient when calculating the dischargeable time at the time of power failure. It may be more cost-effective to correct the dischargeable time by multiplying by (f), and in this case, the deterioration diagnosis device is installed in a place far from the device of FIG. 3 installed near the storage battery facility and the normal storage battery facility. It consists of a PC (19B) installed.
(Table 1) shows 2V150 using the deterioration diagnosis device of the present invention.
Ah's sealed lead storage battery 25 pieces storage battery equipment at 40 ℃
Trickle charge at a voltage of 2.25V / cell in a constant temperature room at 6 months and a discharge test at a constant current of 0.1 CA once every 6 months.
It is the result of comparing the calculated value of the dischargeable time at the initial stage of discharge up to 1.8 V / cell and the actual discharge time with the conventional method. As described above, according to the conventional method, there is a large difference between the calculated values of the actual discharge time and the dischargeable time at the end of life 3.5 years after the installation, but when the deterioration diagnosis apparatus according to the present invention is used, , The predicted value is close to the actual remaining time.
【００１８】[0018]
【表１】 [Table 1]
【００１９】また（表２）は、環境温度を約４ケ月間３
０℃、約２ケ月４０℃の繰り返しにして同様の試験を行
った結果を示す。この結果でも、従来は初期の放電可能
時間の表示しかできなかったが、本発明による容量劣化
率の演算方法を使用すると蓄電池設置環境温度の変化に
対応して実放電時間に近い放電可能時間の予測演算結果
が得られた。In addition, (Table 2) shows that the environmental temperature is about 3 months for about 4 months.
The results of the same test repeated at 0 ° C. and 40 ° C. for about two months are shown. Even in this result, conventionally, only the initial dischargeable time was displayed, but when the calculation method of the capacity deterioration rate according to the present invention is used, the dischargeable time close to the actual discharge time corresponding to the change in the storage battery installation environmental temperature is displayed. The prediction calculation result was obtained.
【００２０】[0020]
【表２】 [Table 2]
【００２１】[0021]
【発明の効果】前記実施例に示したように本発明による
容量劣化率演算方法および劣化診断装置は、蓄電池の放
電試験を行うことなく従来よりも正確に寿命時期を検知
することができるとともに、停電等による蓄電池放電時
にも放電可能時間を従来より正確に演算表示することが
できる。As described in the above embodiment, the capacity deterioration rate calculating method and the deterioration diagnosing device according to the present invention can detect the life time more accurately than before without performing the discharge test of the storage battery. The dischargeable time can be calculated and displayed more accurately than before even when the storage battery is discharged due to a power failure or the like.
【図１】本発明の実施例１における演算式１，２による
シール形鉛蓄電池の劣化係数の推移FIG. 1 shows the transition of the deterioration coefficient of a sealed lead-acid battery according to Formulas 1 and 2 in Example 1 of the present invention.
【図２】本発明の実施例２における演算式１，２による
補液式鉛蓄電池の劣化係数の推移FIG. 2 is a graph showing a change in deterioration coefficient of a replenishment type lead acid battery according to Formulas 1 and 2 in Example 2 of the present invention.
【図３】本発明の実施例における劣化診断装置のブロッ
ク図FIG. 3 is a block diagram of a deterioration diagnosis device according to an embodiment of the present invention.
【図４】本発明の実施例における劣化係数演算プロセス
を示すフローチャート図FIG. 4 is a flowchart showing a deterioration coefficient calculation process in the embodiment of the present invention.
１９Ａ マイクロプロセッサ １９Ｂ パーソナルコンピュータ等ホストＣＰＵ ２０ プログラムメモリ ２９ 鉛蓄電池表面温度の測定データ 19A Microprocessor 19B Personal computer, etc. Host CPU 20 Program memory 29 Lead-acid battery surface temperature measurement data
Claims (3)
表面温度を継続的に測定する手段を備えた蓄電池におい
て、前記蓄電池の初期の容量劣化率（ｆ）＝１.0とした
初期容量維持期間（Ｙｂ）を求める演算式１としてＹｂ
＝ａ−ｂ×logｔと、前記初期容量維持期間以降の容量
劣化率（ｆ）を求める演算式２としてｆ＝１−（ｃ＋ｄ
×ｔn ）×（Ｙ−Ｙｂ）m の両演算式により蓄電池の劣
化状態を検知することを特徴とする蓄電池の容量劣化率
演算方法。（ただし、ａ，ｂ，ｃ，ｄ，ｎ，ｍは蓄電池
の標準特性により異なる実験定数、ｔは蓄電池の表面温
度が基準温度以下の場合は基準温度として継続的に測定
演算された蓄電池表面の平均温度、Ｙは蓄電池の設置後
の経過年数、Ｙｂは演算式１により演算された初期容量
維持期間とし、演算式２の適用範囲は１.0＞ｆ＞０とす
る）1. A storage battery equipped with means for continuously measuring the surface temperature of a storage battery using a trickle or a float, wherein an initial capacity maintenance period (Yb) in which the initial capacity deterioration rate (f) of the storage battery is 1.0. ) Is calculated as Yb.
= Ab−logt, and f = 1− (c + d) as an arithmetic expression 2 for obtaining the capacity deterioration rate (f) after the initial capacity maintenance period.
A method for calculating the capacity deterioration rate of a storage battery, characterized in that the deterioration state of the storage battery is detected by both calculation formulas of × t n ) × (Y−Yb) m . (However, a, b, c, d, n, m are experimental constants that differ depending on the standard characteristics of the storage battery, and t is the reference temperature when the surface temperature of the storage battery is below the reference temperature. (The average temperature, Y is the number of years that have passed since the storage battery was installed, Yb is the initial capacity maintenance period calculated according to calculation formula 1, and the applicable range of calculation formula 2 is 1.0>f> 0.)
クロプロセッサにより蓄電池の表面温度を継続的に自動
測定し、蓄電池の表面温度が基準温度以下の場合は基準
温度として測定して蓄電池の平均温度を継続的に演算す
るとともに、前記平均温度と蓄電池の設置経過年数か
ら、演算式１としてＹｂ＝ａ−ｂ×log ｔと、演算式２
としてｆ＝１−（ｃ＋ｄ×ｔn ）×（Ｙ−Ｙｂ）m とし
た両演算式による容量劣化率の演算処理と、演算結果を
出力する蓄電池の劣化診断装置。（ただし、ａ，ｂ，
ｃ，ｄ，ｎ，ｍは蓄電池の標準特性により異なる実験定
数、ｔは蓄電池の表面温度が基準温度以下の場合は基準
温度として継続的に測定演算された蓄電池表面の平均温
度、Ｙは蓄電池の設置後の経過年数、Ｙｂは演算式１に
より演算された初期容量維持期間とし、演算式２の適用
範囲は１.0＞ｆ＞０とする）2. The average temperature of the storage battery is obtained by continuously and automatically measuring the surface temperature of the storage battery by a microprocessor equipped with the surface temperature measuring means of the storage battery, and measuring the surface temperature of the storage battery as the reference temperature when the surface temperature of the storage battery is below the reference temperature. Is calculated continuously, and Yb = ab−log t as the calculation formula 1 and the calculation formula 2 from the average temperature and the elapsed years of installation of the storage battery.
A storage battery deterioration diagnosing device which outputs a calculation result of a capacity deterioration rate by both calculation formulas, where f = 1− (c + d × t n ) × (Y−Yb) m . (However, a, b,
c, d, n, m are experimental constants that differ depending on the standard characteristics of the storage battery, t is the average temperature of the storage battery surface continuously measured and calculated as the reference temperature when the surface temperature of the storage battery is lower than or equal to the reference temperature, and Y is the storage battery The number of years elapsed since installation, Yb is the initial capacity maintenance period calculated by calculation formula 1, and the applicable range of calculation formula 2 is 1.0>f> 0)
対する蓄電池の放電可能時間の演算・表示機能を備えた
マイクロプロセッサにより蓄電池の表面温度を継続的に
自動測定し、蓄電池の表面温度が基準温度以下の場合は
基準温度として測定して蓄電池の平均温度を継続的に演
算するとともに、前記平均温度と蓄電池の設置経過年数
から、演算式１としてＹｂ＝ａ−ｂ×log ｔと、演算式
２としてｆ＝１−（ｃ＋ｄ×ｔn ）×（Ｙ−Ｙｂ）m と
した両演算式による容量劣化率の演算処理と、前記演算
処理により求められた前記容量劣化率を前記放電可能時
間に乗じて負荷に対する放電可能時間を演算・出力する
蓄電池の劣化診断装置。（ただし、ａ，ｂ，ｃ，ｄ，
ｎ，ｍは蓄電池の標準特性により異なる実験定数、ｔは
蓄電池の表面温度が基準温度以下の場合は基準温度とし
て継続的に測定演算された蓄電池表面の平均温度、Ｙは
蓄電池の設置後の経過年数、Ｙｂは演算式１により演算
された初期容量維持期間とし、演算式２の適用範囲は
１.0＞ｆ＞０とする）3. The surface temperature of the storage battery is continuously and automatically measured by a microprocessor having a surface temperature measuring means of the storage battery and a function of calculating / displaying the dischargeable time of the storage battery with respect to a load current, and the surface temperature of the storage battery is a reference temperature. In the following cases, the average temperature of the storage battery is continuously calculated by measuring as the reference temperature, and Yb = ab−log t and the calculation formula 2 are calculated as the calculation formula 1 from the average temperature and the years of installation of the storage battery. F = 1− (c + d × t n ) × (Y−Yb) m, and the dischargeable time is multiplied by the capacity deterioration rate calculation processing by both calculation expressions and the capacity deterioration rate obtained by the calculation processing. Storage battery deterioration diagnosis device that calculates and outputs the dischargeable time for the load. (However, a, b, c, d,
n and m are experimental constants that differ depending on the standard characteristics of the storage battery, t is the average temperature of the storage battery surface that is continuously measured and calculated as the reference temperature when the surface temperature of the storage battery is below the reference temperature, and Y is the progress after the storage battery is installed. The number of years and Yb are the initial capacity maintenance period calculated by the calculation formula 1, and the applicable range of the calculation formula 2 is 1.0>f> 0.)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP4120984A JP2936441B2 (en) | 1992-05-14 | 1992-05-14 | Calculation method of capacity deterioration rate of storage battery and deterioration diagnosis device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP4120984A JP2936441B2 (en) | 1992-05-14 | 1992-05-14 | Calculation method of capacity deterioration rate of storage battery and deterioration diagnosis device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPH05315015A true JPH05315015A (en) | 1993-11-26 |
| JP2936441B2 JP2936441B2 (en) | 1999-08-23 |
Family
ID=14799905
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP4120984A Expired - Lifetime JP2936441B2 (en) | 1992-05-14 | 1992-05-14 | Calculation method of capacity deterioration rate of storage battery and deterioration diagnosis device |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP2936441B2 (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100730335B1 (en) * | 1998-07-28 | 2007-06-19 | 가부시키가이샤 엔티티 퍼실리티즈 | Apparatus for managing a battery unit having storage batteries |
| WO2007105456A1 (en) * | 2006-02-28 | 2007-09-20 | Matsushita Electric Industrial Co., Ltd. | Battery service life judging device and battery service life judging method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100730335B1 (en) * | 1998-07-28 | 2007-06-19 | 가부시키가이샤 엔티티 퍼실리티즈 | Apparatus for managing a battery unit having storage batteries |
| WO2007105456A1 (en) * | 2006-02-28 | 2007-09-20 | Matsushita Electric Industrial Co., Ltd. | Battery service life judging device and battery service life judging method |
| US8035395B2 (en) | 2006-02-28 | 2011-10-11 | Panasonic Corporation | Battery life predicting device and battery life predicting method |
| KR101285896B1 (en) * | 2006-02-28 | 2013-07-15 | 파나소닉 주식회사 | Battery service life judging device and battery service life judging method |
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| JP2010066160A (en) * | 2008-09-11 | 2010-03-25 | Mitsumi Electric Co Ltd | Battery state detection device and battery pack incorporated therewith |
| JP2010019856A (en) * | 2009-10-19 | 2010-01-28 | Ntt Facilities Inc | Device and method for monitoring secondary battery |
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| CN110476072A (en) * | 2017-03-29 | 2019-11-19 | 株式会社杰士汤浅国际 | Degradation estimating device, method for estimating deterioration and computer program |
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| CN113640674B (en) * | 2021-06-30 | 2022-09-06 | 昆明理工大学 | Lithium ion battery available capacity estimation method based on optimized Gaussian process regression |
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