JP2000228227A - Battery capacity estimating device - Google Patents
Battery capacity estimating deviceInfo
- Publication number
- JP2000228227A JP2000228227A JP11026903A JP2690399A JP2000228227A JP 2000228227 A JP2000228227 A JP 2000228227A JP 11026903 A JP11026903 A JP 11026903A JP 2690399 A JP2690399 A JP 2690399A JP 2000228227 A JP2000228227 A JP 2000228227A
- Authority
- JP
- Japan
- Prior art keywords
- battery
- capacity
- battery capacity
- deterioration
- soc
- 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
-
- 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
- Secondary Cells (AREA)
- Tests Of Electric Status Of Batteries (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
Description
【０００１】[0001]
【発明の属する技術分野】本発明は、所定時点における
電池の充電後の総容量である電池容量を予測するための
電池容量予測装置に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a battery capacity estimating apparatus for estimating a battery capacity which is a total capacity of a battery at a predetermined time after charging.
【０００２】[0002]
【従来の技術】ポリマー電池を含め、リチウム金属２次
電池あるいはリチウムイオン２次電池を用いたアプリケ
ーションを設計するためには、その電池の寿命すなわち
電池の充電後の総容量である電池容量の低下を見込んで
おくことが重要である。たとえば、特開平９−２５７８
９０号公報には、ある時点における電池の総容量から、
次回の充電時における電池温度に対応する一充電当たり
の電池容量の劣化による容量減少量を減算して充電後の
電池容量を検出する方法が開示されている。2. Description of the Related Art In order to design an application using a lithium metal secondary battery or a lithium ion secondary battery including a polymer battery, it is necessary to reduce the life of the battery, that is, the battery capacity which is the total capacity of the battery after charging. It is important to keep in mind. For example, Japanese Patent Application Laid-Open No. 9-2578
No. 90 discloses from the total capacity of a battery at a certain point in time,
There is disclosed a method of detecting a battery capacity after charging by subtracting a capacity reduction amount due to deterioration of a battery capacity per charge corresponding to a battery temperature at the next charging.
【０００３】[0003]
【発明が解決しようとする課題】しかし、上記従来の電
池容量の測定方法においては、次回充電時の電池の温度
しか考慮されていない。たしかに、電池容量は電池の温
度にも依存するが、電池の充電状態にも依存するため、
電池の温度のみを考慮しただけでは、正確な電池容量の
算出を行うことができないという問題がある。However, in the above-described conventional method for measuring the battery capacity, only the temperature of the battery at the time of next charging is considered. Certainly, the battery capacity also depends on the battery temperature, but also on the state of charge of the battery,
There is a problem that accurate calculation of the battery capacity cannot be performed only by considering only the battery temperature.
【０００４】本発明は、上記従来の課題に鑑みなされた
ものであり、その目的は、電池容量を正確に予測するこ
とができる電池容量予測装置を提供することにある。[0004] The present invention has been made in view of the above-mentioned conventional problems, and an object of the present invention is to provide a battery capacity prediction device capable of accurately predicting a battery capacity.
【０００５】[0005]
【課題を解決するための手段】上記目的を達成するため
に、本発明は、電池容量予測装置であって、電池の充電
状態と温度と経過時間により、所定時点における電池容
量を算出する手段を有することを特徴とする。In order to achieve the above object, the present invention relates to a battery capacity estimating apparatus, which comprises means for calculating a battery capacity at a predetermined time point based on a state of charge, a temperature, and an elapsed time of a battery. It is characterized by having.
【０００６】また、上記電池容量予測装置において、電
池容量を算出する手段は、一定期間における電池容量の
劣化量を算出する手段と、この劣化量を積算して所定時
点における電池容量を算出する手段と、を有することを
特徴とする。In the above battery capacity estimating apparatus, the means for calculating the battery capacity includes means for calculating the amount of deterioration of the battery capacity during a certain period, and means for integrating the amount of deterioration to calculate the battery capacity at a predetermined time. And the following.
【０００７】また、上記電池容量予測装置において、電
池はリチウムイオン２次電池であることを特徴とする。Further, in the above battery capacity prediction device, the battery is a lithium ion secondary battery.
【０００８】また、上記電池容量予測装置において、充
電状態としてＳＯＣ（Ｓｔａｔｅｏｆ Ｃｈａｒｇｅ）
を用いることを特徴とする。In the above-mentioned battery capacity estimating apparatus, the state of charge (SOC) is set as the state of charge.
Is used.
【０００９】また、上記電池容量予測装置において、充
電状態として充電後の電圧値を用いることを特徴とす
る。[0009] In the above-mentioned battery capacity estimating apparatus, a charged voltage value is used as a state of charge.
【００１０】[0010]
【発明の実施の形態】以下、本発明の実施の形態（以下
実施形態という）を、図面に従って説明する。Embodiments of the present invention (hereinafter referred to as embodiments) will be described below with reference to the drawings.
【００１１】本発明者らは、ポリマー電池を含むリチウ
ムイオン２次電池あるいはリチウム金属２次電池の電池
容量すなわち充電後の総容量の低下速度が、電池の温度
とＳＯＣ（Ｓｔａｔｅ Ｏｆ Ｃｈａｒｇｅ）によって
決定されることを見いだした。この電池容量の劣化速度
は、電池の温度が高くなるほど、またＳＯＣが高いほど
大きくなる。ここでＳＯＣとは、満充電状態における容
量と所定時点における容量との比をいう。The present inventors have determined that the rate of reduction of the battery capacity of a lithium ion secondary battery or a lithium metal secondary battery including a polymer battery, that is, the total capacity after charging, is determined by the battery temperature and the SOC (State Of Charge). I found something to be done. The deterioration rate of the battery capacity increases as the battery temperature increases and the SOC increases. Here, SOC refers to the ratio between the capacity in a fully charged state and the capacity at a predetermined time.
【００１２】さらに、本発明者らは、上記温度に対する
電池容量の劣化速度が、アレニウス則に従うことも見い
だした。Furthermore, the present inventors have also found that the rate of deterioration of the battery capacity with respect to the above temperature follows the Arrhenius law.
【００１３】図１には、電池の絶対温度（Ｔ）の逆数と
電池容量の劣化速度との関係が示される。図１に示され
るように、電池の各ＳＯＣに応じて、片対数グラフ上で
本プロットが直線となっていることがわかる。このアレ
ニウスプロットから電池の容量劣化速度を温度（Ｔ）と
ＳＯＣの２つの変数を用いて数式化すると、以下のとお
りとなる。FIG. 1 shows the relationship between the reciprocal of the battery absolute temperature (T) and the rate of deterioration of the battery capacity. As shown in FIG. 1, it can be seen that this plot is a straight line on the semilogarithmic graph according to each SOC of the battery. From the Arrhenius plot, the capacity deterioration rate of the battery is expressed as a mathematical formula using two variables of temperature (T) and SOC as follows.
【００１４】[0014]
【数１】 Ｆ(ｔ,ＳＯＣ)＝10^(−2.459×(１／Ｔ)＋(Ａ×ＳＯＣ)＋Ｂ) ＝10^(−2.459×(１／(ｔ＋273))＋(Ａ×ＳＯＣ)＋Ｂ)…（１） ここで、Ｆ(ｔ，ＳＯＣ)は、電池温度ｔ及びその場合の
ＳＯＣに応じた電池容量の劣化速度を示している。この
電池温度ｔは、図１の℃単位の温度であり、絶対温度Ｔ
＝ｔ＋２７３の関係となる。また、ＡとＢは、ＳＯＣに
応じたｙ切片を規定するための、各電池の特性値であ
る。したがって、使用する各電池毎に、図１に示された
アレニウスプロットを求め、これから上記式（１）を決
定しておけば、いかなる温度、ＳＯＣの履歴を経ても、
そのプロファイルがわかれば、電池の寿命予測を数値計
算によって行うことができる。F (t, SOC) = 10 ^ (− 2.459 × (1 / T) + (A × SOC) + B) = 10 ^ (− 2.459 × (1 / (t + 273)) + (A × SOC) + B) (1) Here, F (t, SOC) indicates the deterioration rate of the battery capacity according to the battery temperature t and the SOC in that case. The battery temperature t is a temperature in units of ° C. in FIG.
= T + 273. A and B are characteristic values of each battery for defining the y intercept according to the SOC. Therefore, for each battery used, the Arrhenius plot shown in FIG. 1 is obtained, and if the above equation (1) is determined from this, any temperature and SOC history can be obtained.
If the profile is known, the battery life can be predicted by numerical calculation.
【００１５】したがって、自動車用途等には、たとえば
一日当たりの温度／ＳＯＣのプロファイルを、一定時間
毎のデータとして記憶させ、順次電池容量の劣化量を計
算し、積算することにより、正確な電池容量を把握する
ことができる。Therefore, for automotive applications, for example, the temperature / SOC profile per day is stored as data at regular time intervals, and the amount of deterioration of the battery capacity is sequentially calculated and integrated to obtain an accurate battery capacity. Can be grasped.
【００１６】図２には、本発明に係る電池容量予測装置
により電池の容量劣化量を算出する工程が示される。FIG. 2 shows a process of calculating a battery capacity deterioration amount by the battery capacity prediction device according to the present invention.
【００１７】まず、図１に示されたアレニウスプロット
をＳＯＣ毎に求める（Ｓ１）。次に、上記アレニウスプ
ロットから、容量劣化速度Ｆ（ｔ，ＳＯＣ）を、電池温
度ｔとＳＯＣの２つの変数を用いて数式化する。この数
式が前述した式（１）となる（Ｓ２）。First, an Arrhenius plot shown in FIG. 1 is obtained for each SOC (S1). Next, from the Arrhenius plot, the capacity deterioration rate F (t, SOC) is expressed by a mathematical formula using two variables of the battery temperature t and the SOC. This equation becomes the above-described equation (1) (S2).
【００１８】次に、電池の温度とＳＯＣを上記式に代入
し、その時々の電池の容量劣化量を計算する（Ｓ３）。
この計算を目的の時間またはサイクルまで続行し、一定
期間における電池容量の劣化量を算出し、その劣化量の
積算値を初期の電池容量から減算することにより、所定
時点における劣化後の電池容量を算出する。このよう
に、本発明にかかる電池容量予測装置では、電池の充電
状態と温度と経過時間とにより所定時点における電池容
量を算出する手段を有する。この算出値は表示され、ま
たは電池制御のパラメータとして利用される（Ｓ４）。
なお、Ｓ３及びＳ４のステップを繰り返すことにより、
定期的に劣化後の電池容量を算出することができる。Next, the temperature and SOC of the battery are substituted into the above equation, and the amount of capacity deterioration of the battery at each time is calculated (S3).
This calculation is continued until the target time or cycle, the amount of deterioration of the battery capacity in a certain period is calculated, and the integrated value of the amount of deterioration is subtracted from the initial battery capacity to obtain the battery capacity after deterioration at a predetermined time. calculate. As described above, the battery capacity prediction device according to the present invention has means for calculating the battery capacity at a predetermined point in time based on the state of charge, temperature, and elapsed time of the battery. This calculated value is displayed or used as a parameter for battery control (S4).
By repeating the steps of S3 and S4,
The battery capacity after deterioration can be calculated periodically.
【００１９】以上の説明では、電池の充電状態としてＳ
ＯＣを使用していたが、この代わりに充電後の電池の電
圧値を用いることも可能である。In the above description, the state of charge of the battery is S
Although OC is used, the voltage value of the battery after charging may be used instead.
【００２０】図３（ａ），（ｂ）には、電池の動作パタ
ーン毎に電池容量の維持率すなわち電池容量の変化を測
定した結果が示される。図３（ａ）のパターンＡに比べ
て、パターンＢの場合の方が、図３（ｂ）に示されるよ
うに容量維持率が高くなっている。すなわち、パターン
Ｂの方が電池容量の劣化速度が小さくなっている。これ
は、図３（ａ）に示されるように、パターンＡの場合に
はＳＯＣの平均値が約７０％であるのに対し、パターン
Ｂの場合にはＳＯＣがほぼ６０％であるが、図１に示さ
れるように、低いＳＯＣの方が容量劣化率が小さいため
であると考えられる。FIGS. 3 (a) and 3 (b) show the results of measuring the maintenance rate of the battery capacity, that is, the change in the battery capacity for each operation pattern of the battery. As shown in FIG. 3B, the capacity retention ratio of the pattern B is higher than that of the pattern A of FIG. 3A. That is, the deterioration rate of the battery capacity is lower in the pattern B. This is because, as shown in FIG. 3A, the average value of the SOC is approximately 70% in the case of the pattern A, while the SOC is approximately 60% in the case of the pattern B. As shown in FIG. 1, it is considered that the lower SOC is due to a smaller capacity deterioration rate.
【００２１】なお、図３（ｂ）では、パターンＡ、パタ
ーンＢにおける容量維持率の実測値のほかに、本発明に
かかる電池容量予測装置が前述の計算式によって電池温
度とＳＯＣの状態から算出した予測値も記載している。
なお、この場合の温度は、ある加速劣化温度で実施し
た。いずれのパターンにおいても、予測値と実測値がほ
ぼ一致しており、本発明にかかる電池容量予測装置が、
正確に電池容量を予測できることがわかる。In FIG. 3B, in addition to the actually measured values of the capacity retention ratios in the patterns A and B, the battery capacity prediction device according to the present invention calculates the battery temperature and the state of the SOC using the above-described formulas. Predicted values are also shown.
In this case, the temperature was set at a certain accelerated deterioration temperature. In any of the patterns, the predicted value and the measured value are almost the same, and the battery capacity prediction device according to the present invention has
It can be seen that the battery capacity can be accurately predicted.
【００２２】[0022]
【発明の効果】以上説明したように、本発明によれば、
電池の温度のほかに、ＳＯＣも使用して電池容量を予測
するので、電池容量を正確に予測することができ、電池
寿命の管理を容易にすることができる。As described above, according to the present invention,
Since the battery capacity is predicted using the SOC in addition to the battery temperature, the battery capacity can be accurately predicted, and the management of the battery life can be facilitated.
【図１】 電池の温度と電池容量の劣化速度との関係を
示すアレニウスプロット図である。FIG. 1 is an Arrhenius plot showing the relationship between battery temperature and the rate of deterioration of battery capacity.
【図２】 本発明に係る電池容量予測装置により電池容
量の劣化速度を算出する工程図である。FIG. 2 is a process diagram of calculating a deterioration rate of the battery capacity by the battery capacity prediction device according to the present invention.
【図３】 電池動作のパターンに応じた容量維持率の実
測値及び予測値を示す図である。FIG. 3 is a diagram showing an actually measured value and a predicted value of a capacity retention ratio according to a battery operation pattern.
Claims (5)
り、所定時点における電池容量を算出する手段を有する
ことを特徴とする電池容量予測装置。1. A battery capacity estimating apparatus comprising means for calculating a battery capacity at a predetermined time point based on a state of charge, a temperature, and an elapsed time of a battery.
て、前記電池容量を算出する手段は、一定期間における
電池容量の劣化量を算出する手段と、この劣化量を積算
して所定時点における電池容量を算出する手段と、を有
することを特徴とする電池容量予測装置。2. The battery capacity estimating device according to claim 1, wherein the means for calculating the battery capacity includes means for calculating an amount of deterioration of the battery capacity during a predetermined period, and a method for integrating the amount of deterioration to obtain a battery at a predetermined time. A battery capacity prediction device, comprising: means for calculating a capacity.
予測装置において、前記電池はリチウムイオン２次電池
であることを特徴とする電池容量予測装置。3. The battery capacity estimating device according to claim 1, wherein said battery is a lithium ion secondary battery.
載の電池容量予測装置において、前記充電状態としてＳ
ＯＣ（Ｓｔａｔｅ ｏｆ Ｃｈａｒｇｅ）を用いること
を特徴とする電池容量予測装置。4. The battery capacity prediction device according to claim 1, wherein the state of charge is S
A battery capacity predicting device using OC (State of Charge).
載の電池容量予測装置において、前記充電状態として充
電後の電圧値を用いることを特徴とする電池容量予測装
置。5. The battery capacity predicting apparatus according to claim 1, wherein a voltage value after charging is used as the state of charge.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP02690399A JP3965817B2 (en) | 1999-02-04 | 1999-02-04 | Battery capacity prediction device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP02690399A JP3965817B2 (en) | 1999-02-04 | 1999-02-04 | Battery capacity prediction device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2000228227A true JP2000228227A (en) | 2000-08-15 |
| JP3965817B2 JP3965817B2 (en) | 2007-08-29 |
Family
ID=12206203
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP02690399A Expired - Fee Related JP3965817B2 (en) | 1999-02-04 | 1999-02-04 | Battery capacity prediction device |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP3965817B2 (en) |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011135609A1 (en) | 2010-04-26 | 2011-11-03 | トヨタ自動車株式会社 | Degradation estimation device and degradation estimation method for storage battery device |
| WO2012095894A1 (en) * | 2011-01-14 | 2012-07-19 | トヨタ自動車株式会社 | Degradation speed estimation method, and degradation speed estimation device, of lithium-ion battery |
| JP2013089424A (en) * | 2011-10-17 | 2013-05-13 | Internatl Business Mach Corp <Ibm> | System, method and program for battery state prediction |
| CN103329392A (en) * | 2011-01-18 | 2013-09-25 | 日产自动车株式会社 | Battery control device |
| US9581653B2 (en) | 2012-11-30 | 2017-02-28 | Gs Yuasa International Ltd. | Post-deterioration performance estimating apparatus and post-deterioration performance estimating method for energy storage device, and energy storage system |
| JP2018073777A (en) * | 2016-11-04 | 2018-05-10 | トヨタ自動車株式会社 | Control system of lithium ion secondary battery |
| US10101399B2 (en) | 2015-06-02 | 2018-10-16 | Rohm Co., Ltd. | Apparatus for estimating residual battery capacity, system for estimating residual battery capacity, battery pack, and method for estimating residual battery capacity |
| CN109342955A (en) * | 2018-11-19 | 2019-02-15 | 台州钱江新能源研究院有限公司 | A kind of projectional technique and system of capacity of lithium ion battery |
| JP2019510970A (en) * | 2016-03-09 | 2019-04-18 | 華為技術有限公司Ｈｕａｗｅｉ Ｔｅｃｈｎｏｌｏｇｉｅｓ Ｃｏ．，Ｌｔｄ． | Device and method for detecting battery health status |
| JP2020038138A (en) * | 2018-09-05 | 2020-03-12 | 富士電機株式会社 | Storage battery diagnostic device, system, program, and method |
| CN110879366A (en) * | 2018-09-05 | 2020-03-13 | 丰田自动车株式会社 | Secondary battery system and method for estimating SOC of secondary battery |
| CN112014735A (en) * | 2019-05-30 | 2020-12-01 | 上海汽车集团股份有限公司 | Battery cell aging life prediction method and device based on full life cycle |
| CN112415409A (en) * | 2019-08-23 | 2021-02-26 | 比亚迪股份有限公司 | Method and device for estimating battery capacity, storage medium and vehicle |
| CN113030742A (en) * | 2019-12-24 | 2021-06-25 | 比亚迪股份有限公司 | Method, device and equipment for estimating battery capacity |
-
1999
- 1999-02-04 JP JP02690399A patent/JP3965817B2/en not_active Expired - Fee Related
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| WO2011135609A1 (en) | 2010-04-26 | 2011-11-03 | トヨタ自動車株式会社 | Degradation estimation device and degradation estimation method for storage battery device |
| WO2012095894A1 (en) * | 2011-01-14 | 2012-07-19 | トヨタ自動車株式会社 | Degradation speed estimation method, and degradation speed estimation device, of lithium-ion battery |
| CN103329339A (en) * | 2011-01-14 | 2013-09-25 | 丰田自动车株式会社 | Degradation speed estimation method, and degradation speed estimation device, of lithium-ion battery |
| JP5594371B2 (en) * | 2011-01-14 | 2014-09-24 | トヨタ自動車株式会社 | Lithium-ion battery degradation rate estimation method and degradation rate estimation apparatus |
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