JP2016057310A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2016057310A5 JP2016057310A5 JP2015225882A JP2015225882A JP2016057310A5 JP 2016057310 A5 JP2016057310 A5 JP 2016057310A5 JP 2015225882 A JP2015225882 A JP 2015225882A JP 2015225882 A JP2015225882 A JP 2015225882A JP 2016057310 A5 JP2016057310 A5 JP 2016057310A5
- Authority
- JP
- Japan
- Prior art keywords
- storage battery
- coordinate
- measurement time
- vector
- discriminant
- 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
- 238000006243 chemical reaction Methods 0.000 claims description 12
- 230000000875 corresponding Effects 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims 33
- 238000003745 diagnosis Methods 0.000 claims 5
- 239000002131 composite material Substances 0.000 claims 3
- 238000002405 diagnostic procedure Methods 0.000 claims 2
- 230000001131 transforming Effects 0.000 claims 2
- 238000001914 filtration Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
Description
（ST7）
電池使用可能判別量計算部（残存価値計算部）7は、電池性能判別関数記憶部17から当該用途に対応する電池性能判別関数を読み出し、電池性能判別空間変換計算部2で計算された変換後蓄電池データに基づき、対象蓄電池について、当該用途の単純残存価値を計算する。図8の左側に、中古EV、定置蓄電池、スクータの3つの用途に応じてそれぞれ単純残存価値を計算する例を示す。この３用途は説明用の一例であり，本発明はこれら3用途に限定されるものではない．
電池性能判別関数の数学的な定義は限定されないが、電池性能判別空間上の状態量（変換後蓄電池データ）を入力とし、戻り値は実数値とする。戻り値の符号が正なら対象電池は使用可能、負なら使用不可能に対応する（図4参照）。電池性能判別関数fの出力を単純残存価値と定義してもよいが、0以下の負値は全て0とみなす等のフィルタ処理を加えてもよい。また電池性能判別関数fの出力が負（使用不可能）であれば、警告信号を生成して、電池状態表示部4に通知する。
(ST7)
The battery usable discriminant amount calculation unit (residual value calculation unit) 7 reads the battery performance discriminant function corresponding to the application from the battery performance discriminant function storage unit 17, and after the conversion calculated by the battery performance discriminant space conversion calculator 2 Based on the storage battery data, the simple residual value of the application is calculated for the target storage battery. The left side of FIG. 8 shows an example of calculating the simple residual value for each of three uses: used EV, stationary storage battery, and scooter. These three uses are examples for explanation, and the present invention is not limited to these three uses.
The mathematical definition of the battery performance discrimination function is not limited, but the state quantity (converted storage battery data) on the battery performance discrimination space is input, and the return value is a real value. If the sign of the return value is positive, the target battery can be used, and if it is negative, it cannot be used (see Fig. 4). Although the output of the battery performance discrimination function f may be defined as a simple residual value, a filtering process such as considering all negative values below 0 as 0 may be added. If the output of the battery performance discrimination function f is negative (unusable), a warning signal is generated and notified to the battery state display unit 4.
Claims (13)
少なくとも前記判別空間上の座標に写像された状態量が、前記判別空間を蓄電池の使用可能領域と使用不可領域とに区分する電池性能判別関数に対し前記使用可能領域と前記使用不可領域のどちらに属するかにに基づき、前記蓄電池の残存価値を計算する残存価値計算部と
を備えた蓄電池診断装置。 A conversion calculation unit that maps a plurality of state quantities of the storage battery to coordinates on a determination space of one or more dimensions by a determination space conversion function according to the use of the storage battery;
At least the state quantity mapped to the coordinates on the discriminant space is either the usable region or the unusable region with respect to the battery performance discriminant function that divides the discriminant space into a storage battery usable region and an unusable region. A storage battery diagnostic device comprising: a residual value calculation unit that calculates a residual value of the storage battery based on whether it belongs .
前記変換計算部は、前記蓄電池の複数の用途のそれぞれに応じた判別空間変換関数により、前記複数の状態量を、前記用途毎の判別空間上の座標に写像し、
前記残存価値計算部は、前記用途毎の判別空間上の座標に写像された状態量が、前記用途毎の判別空間を使用可能領域と使用不可領域とに区分する電池性能判別関数に対し前記使用可能領域と前記使用不可領域のどちらに属するかに基づき、前記用途毎の前記蓄電池の残存価値を計算し、
前記複合残存価値計算部は、前記用途毎の前記残存価値を前記用途ごとの重み係数で重み付け総和することにより、前記蓄電池の複合残存価値を計算する
請求項1に記載の蓄電池診断装置。 A composite residual value calculator,
The conversion calculation unit, by a discriminant space conversion function corresponding to each of the plurality of uses of the storage battery, maps the plurality of state quantities to coordinates on the discriminant space for each of the uses,
The residual value calculation unit uses the state quantity mapped to the coordinates on the discriminant space for each application for the battery performance discriminant function that divides the discriminant space for each application into usable and unusable regions. Based on whether it belongs to the possible area or the unusable area , calculate the residual value of the storage battery for each use,
2. The storage battery diagnosis apparatus according to claim 1, wherein the composite residual value calculation unit calculates the composite residual value of the storage battery by performing a weighted sum of the residual values for each use with a weighting coefficient for each use.
をさらに備えた請求項1または2に記載の蓄電池診断装置。 3. The storage battery diagnostic device according to claim 1, further comprising a battery state measurement unit that measures the storage battery and acquires a plurality of state quantities of the storage battery.
をさらに備えた請求項1ないし3のいずれか一項に記載の蓄電池診断装置。 4. The storage battery diagnosis apparatus according to claim 1, further comprising a storage battery application input unit that inputs one or more uses of the storage battery.
前記判別空間を蓄電池の使用可能領域と使用不可領域とに区分する電池性能判別関数について、前記第1座標および前記第2座標が前記使用可能領域に属する場合に、前記第1座標から前記電池性能判別関数上の最近傍点を求め、前記第1座標から前記第2座標へのベクトルについて、前記第1座標から前記最近傍点への方向の前記ベクトルの成分を計算する第2計算部と、
前記成分の長さを前記第1測定時点および前記第2測定時点間の時間長で除した比率に基づいて、前記蓄電池の劣化進行を診断する劣化判定部と、
を備えた蓄電池診断装置。 A plurality of state quantities of the storage battery at each of the first measurement time point and the second measurement time point after the first measurement time point are determined by a discriminant space conversion function according to the use of the storage battery, and a discriminant space having one or more dimensions A first calculator that maps to the first and second coordinates above;
Regarding the battery performance discrimination function that divides the discrimination space into a usable area and an unusable area of the storage battery, when the first coordinate and the second coordinate belong to the usable area, the battery performance from the first coordinate Obtaining a nearest point on a discriminant function, for a vector from the first coordinate to the second coordinate, a second calculation unit that calculates a component of the vector in the direction from the first coordinate to the nearest point;
Based on a ratio obtained by dividing the length of the component by the time length between the first measurement time point and the second measurement time point, a deterioration determination unit that diagnoses the deterioration progress of the storage battery,
A storage battery diagnostic device.
請求項5に記載の蓄電池診断装置。 6. The storage battery diagnosis apparatus according to claim 5, wherein the deterioration determination unit outputs a warning signal when the ratio exceeds a threshold value.
請求項5または6に記載の蓄電池診断装置。 7. The storage battery diagnostic apparatus according to claim 5, wherein the deterioration determination unit outputs a warning signal when a distance between the second coordinates and the battery performance discrimination function is equal to or less than a threshold value.
前記蓄電池とは別の少なくとも1つの蓄電池について、複数の測定時点毎に当該蓄電池の複数の状態量を含むデータを格納する蓄電池状態量記憶部と、
前記格納部内の各前記データを読み出し、各前記データを前記判別空間変換関数により前記判別空間上の座標へ写像し、前記座標の中から前記第2座標との距離に応じて少なくとも1つの座標を第3座標として選択し、前記座標のうち前記第3座標の次の測定時点に対応する座標である第4座標に対する前記第3座標からのベクトルを前記第4座標および第3座標の測定時点間の時間長で除算して第2ベクトルを取得する第2ベクトル取得部と、
前記第1ベクトルと前記第2ベクトルを合成して予測ベクトルを得る予測ベクトル取得部と、
前記第2測定時点より後の第3測定時点と前記第2測定時点間の時間長を前記予測ベクトルに乗算し、乗算結果を前記第2座標に加算することにより、前記判別空間において前記第3測定時点の前記蓄電池の状態量の写像先を予測し、前記判別空間を蓄電池の使用可能領域と使用不可領域とに区分する判別関数と前記写像先と基づいて、前記蓄電池の将来使用可否を診断する将来使用可否決定部と
を備えた蓄電池診断装置。 A plurality of state quantities of the storage battery at each of the first measurement time point and the second measurement time point after the first measurement time point are determined by a discriminant space conversion function according to the use of the storage battery, and a discriminant space having one or more dimensions Map to the first coordinate and the second coordinate above, respectively, and divide the vector from the first coordinate to the second coordinate by the time length between the measurement time of the second coordinate and the first coordinate, the first vector A first vector acquisition unit to acquire;
For at least one storage battery different from the storage battery, a storage battery state quantity storage unit that stores data including a plurality of state quantities of the storage battery for each of a plurality of measurement points;
Read each data in the storage unit, map each data to a coordinate on the discriminant space by the discriminant space conversion function, and select at least one coordinate from the coordinates according to the distance from the second coordinate The third coordinate is selected, and a vector from the third coordinate with respect to the fourth coordinate which is a coordinate corresponding to the next measurement time of the third coordinate among the coordinates is measured between the measurement time of the fourth coordinate and the third coordinate. A second vector acquisition unit that acquires the second vector by dividing by the time length of
A prediction vector acquisition unit that obtains a prediction vector by combining the first vector and the second vector;
By multiplying the prediction vector by the time length between the third measurement time point after the second measurement time point and the second measurement time point, and adding the multiplication result to the second coordinate, the third space in the discriminant space. Predict the mapping destination of the state quantity of the storage battery at the time of measurement, and diagnose the future availability of the storage battery based on the discriminant function and the mapping destination that divide the discriminant space into the usable area and unusable area of the storage battery A storage battery diagnostic device comprising: a future availability determination unit that performs:
ことを特徴とする請求項8に記載の蓄電池診断装置。 9. The storage battery diagnosis apparatus according to claim 8, wherein the future availability determination unit outputs a warning signal when the mapping destination belongs to the unusable area.
ことを特徴とする請求項8または9に記載の蓄電池診断装置。 9. The future availability determination unit outputs a warning signal when the mapping destination belongs to the usable area and a distance between the mapping destination and the discriminant function is equal to or less than a threshold value. 9. The storage battery diagnostic device according to 9.
少なくとも前記判別空間上の座標に写像された状態量が、前記判別空間を蓄電池の使用可能領域と使用不可領域とに区分する電池性能判別関数に対し前記使用可能領域と前記使用不可領域のどちらに属するかに基づき、前記蓄電池の残存価値を計算する残存価値計算ステップと
を備えた蓄電池診断方法。 A transformation calculation step for mapping a plurality of state quantities of the storage battery to coordinates on a discrimination space having a number of dimensions of one or more dimensions by a discriminant space transformation function according to the use of the storage battery;
At least the state quantity mapped to the coordinates on the discriminant space is either the usable region or the unusable region with respect to the battery performance discriminant function that divides the discriminant space into a storage battery usable region and an unusable region. A storage battery diagnostic method comprising: a residual value calculation step of calculating a residual value of the storage battery based on whether it belongs .
前記判別空間を蓄電池の使用可能領域と使用不可領域とに区分する電池性能判別関数について、前記第1座標および前記第2座標が前記使用可能領域に属する場合に、前記第1座標から前記電池性能判別関数上の最近傍点を求め、前記第1座標から前記第2座標へのベクトルについて、前記第1座標から前記最近傍点への方向の前記ベクトルの成分を計算する第2計算ステップと、
前記成分の長さを前記第1測定時点および前記第2測定時点間の時間長で除した比率に基づいて、前記蓄電池の劣化進行を診断する劣化判定ステップと、
を備えた蓄電池診断方法。 A plurality of state quantities of the storage battery at each of the first measurement time point and the second measurement time point after the first measurement time point are determined by a discriminant space conversion function according to the use of the storage battery, and a discriminant space having one or more dimensions A first calculation step that maps to the first and second coordinates above;
Regarding the battery performance discrimination function that divides the discrimination space into a usable area and an unusable area of the storage battery, when the first coordinate and the second coordinate belong to the usable area, the battery performance from the first coordinate Obtaining a nearest point on a discriminant function, for a vector from the first coordinate to the second coordinate, a second calculation step of calculating a component of the vector in a direction from the first coordinate to the nearest point;
Based on a ratio obtained by dividing the length of the component by the time length between the first measurement time and the second measurement time, a deterioration determination step for diagnosing the progress of deterioration of the storage battery,
A storage battery diagnostic method comprising:
前記蓄電池とは別の少なくとも1つの蓄電池について、複数の測定時点毎に当該蓄電池の複数の状態量を含むデータを格納する蓄電池状態量記憶部から前記データを読み出すステップと、
前記格納部内の各前記データを読み出し、各前記データを前記判別空間変換関数により前記判別空間上の座標へ写像し、前記座標の中から前記第2座標との距離に応じて少なくとも1つの座標を第3座標として選択し、前記座標のうち前記第3座標の次の測定時点に対応する座標である第4座標に対する前記第3座標からのベクトルを前記第4座標および第3座標の測定時点間の時間長で除算して第2ベクトルを取得する第2ベクトル取得ステップと、
前記第1ベクトルと前記第2ベクトルを合成して予測ベクトルを得る予測ベクトル取得ステップと、
前記第2測定時点より後の第3測定時点と前記第2測定時点間の時間長を前記予測ベクトルに乗算し、乗算結果を前記第2座標に加算することにより、前記判別空間において前記第3測定時点の前記蓄電池の状態量の写像先を予測し、前記判別空間を蓄電池の使用可能領域と使用不可領域とに区分する判別関数と前記写像先とに基づいて、前記蓄電池の将来使用可否を診断する将来使用可否決定ステップと
を備えた蓄電池診断方法。 A plurality of state quantities of the storage battery at each of the first measurement time point and the second measurement time point after the first measurement time point are determined by a discriminant space conversion function according to the use of the storage battery, and a discriminant space having one or more dimensions Map to the first coordinate and the second coordinate above, respectively, and divide the vector from the first coordinate to the second coordinate by the time length between the measurement time of the second coordinate and the first coordinate, the first vector A first vector obtaining step to obtain;
For at least one storage battery different from the storage battery, reading the data from a storage battery state quantity storage unit that stores data including a plurality of state quantities of the storage battery for each of a plurality of measurement points;
Read each data in the storage unit, map each data to a coordinate on the discriminant space by the discriminant space conversion function, and select at least one coordinate from the coordinates according to the distance from the second coordinate The third coordinate is selected, and a vector from the third coordinate with respect to the fourth coordinate which is a coordinate corresponding to the next measurement time of the third coordinate among the coordinates is measured between the measurement time of the fourth coordinate and the third coordinate. A second vector obtaining step of obtaining a second vector by dividing by the time length of
Obtaining a prediction vector by combining the first vector and the second vector to obtain a prediction vector;
By multiplying the prediction vector by the time length between the third measurement time point after the second measurement time point and the second measurement time point, and adding the multiplication result to the second coordinate, the third space in the discriminant space. Predicting the mapping destination of the state quantity of the storage battery at the time of measurement, and determining whether or not the storage battery can be used in the future based on the discriminant function and the mapping destination that divide the discrimination space into a usable area and an unusable area of the storage battery A storage battery diagnosis method comprising: a step of determining whether or not future use is possible.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2015225882A JP6034473B2 (en) | 2015-11-18 | 2015-11-18 | Storage battery diagnostic device and method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2015225882A JP6034473B2 (en) | 2015-11-18 | 2015-11-18 | Storage battery diagnostic device and method thereof |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2012205828A Division JP2014059270A (en) | 2012-09-19 | 2012-09-19 | Storage battery diagnostic device and method |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2016057310A JP2016057310A (en) | 2016-04-21 |
| JP2016057310A5 true JP2016057310A5 (en) | 2016-06-09 |
| JP6034473B2 JP6034473B2 (en) | 2016-11-30 |
Family
ID=55758167
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2015225882A Expired - Fee Related JP6034473B2 (en) | 2015-11-18 | 2015-11-18 | Storage battery diagnostic device and method thereof |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP6034473B2 (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102106431B1 (en) * | 2018-08-14 | 2020-05-06 | 율촌화학 주식회사 | Conductive adhesive layer composition for electromagnetic wave shielding film and electromagnetic wave shielding film comprising the same |
| KR102198190B1 (en) * | 2018-12-31 | 2021-01-04 | 주식회사 원프레딕트 | Data standardization method considering operating contion for diagnosis of rotating machinery failure and diagnosis method rotating machinery failure using the same |
| JP7456400B2 (en) * | 2021-02-26 | 2024-03-27 | 株式会社デンソー | battery diagnostic system |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3598873B2 (en) * | 1998-08-10 | 2004-12-08 | トヨタ自動車株式会社 | Secondary battery state determination method and state determination device, and secondary battery regeneration method |
| US20100183202A1 (en) * | 2006-11-06 | 2010-07-22 | Fujifilm Ri Pharma Co., Ltd. | Brain-image diagnosis supporting method, program, and recording medium |
| JP5586219B2 (en) * | 2009-12-25 | 2014-09-10 | 株式会社東芝 | Diagnostic device, battery pack, and battery value index manufacturing method |
-
2015
- 2015-11-18 JP JP2015225882A patent/JP6034473B2/en not_active Expired - Fee Related
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109196366B (en) | Method and system for estimating battery state of charge using gaussian process regression | |
| US9058647B2 (en) | Information processing apparatus, information processing method, and storage medium | |
| CN110874502B (en) | Aerospace product reliability assessment method based on multi-stage test data reduction | |
| JP6305988B2 (en) | Device and method for determining energy status based on data derived from processing methods | |
| CN105981025A (en) | Actually-measured marine environment data assimilation method based on sequence recursive filtering three-dimensional variation | |
| JP2016057310A5 (en) | ||
| JP2015518959A (en) | Method, device, medium and computer program for determining the energy state of an electrochemical storage battery | |
| CN112669290A (en) | Image comparison method and device | |
| CN111859743A (en) | Structure dynamic displacement estimation method and device based on acceleration response | |
| CN102656581B (en) | Messaging device, information processing method and storage medium | |
| KR100997246B1 (en) | Image registration evaluation | |
| Li et al. | Lithium-ion battery state of health estimation based on multi-source health indicators extraction and sparse Bayesian learning | |
| CN109388781B (en) | Method and device for processing measurement data | |
| JP2014059270A (en) | Storage battery diagnostic device and method | |
| JP6034473B2 (en) | Storage battery diagnostic device and method thereof | |
| Peng et al. | Shrinkage estimation of varying covariate effects based on quantile regression | |
| US9529688B2 (en) | Performance evaluation device and performance evaluation method | |
| KR20160027718A (en) | Apparatus and Method for estimating State Of Health in vehicle battery | |
| RU75484U1 (en) | DEVELOPMENT OF A POINT EVALUATION OF THE PROBABILITY OF FAILURE-FREE OPERATION OF A TECHNICAL SYSTEM ON A COMPLETE SAMPLE | |
| JP2021012078A (en) | Temperature distribution estimation device and temperature distribution estimation method | |
| JP6846896B2 (en) | Analysis of ship propulsion performance | |
| CN114490412A (en) | Three-dimensional CAD software performance measurement method and device based on self-subtraction reverse cloud generator | |
| JP6540460B2 (en) | Connection phase determination reliability calculation program, apparatus and method | |
| CN103186711B (en) | Based on software cost appraisal procedure under non-orthogonal coordinate system | |
| CN111177290A (en) | Method and device for evaluating accuracy of three-dimensional map |