TW200918910A - Diagnosing method for state-of-health of batteries - Google Patents

Diagnosing method for state-of-health of batteries Download PDF

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TW200918910A
TW200918910A TW96140590A TW96140590A TW200918910A TW 200918910 A TW200918910 A TW 200918910A TW 96140590 A TW96140590 A TW 96140590A TW 96140590 A TW96140590 A TW 96140590A TW 200918910 A TW200918910 A TW 200918910A
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battery
discharge
health
value
health status
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TW96140590A
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Chinese (zh)
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TWI452303B (en
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Yu-Hua Sun
Hung-Liang Chou
Chin-Chang Wu
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Univ Nat Kaohsiung Applied Sci
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Abstract

A diagnosing method for State-of-Health of batteries includes the steps of: providing a plurality of discharge current data and a plurality of discharge voltage data of a battery; presetting a time period and arranging a high value and a low value of State-of-Health within the time period; calculating the discharge current data and the discharge voltage data to obtain values of auxiliary diagnosis of State-of-Health (ADSOH); recording the data of discharge current, discharge voltage, discharge power and values of ADSOH; comparing the values of ADSOH with the high value and the low value; and transforming results of the compared ADSOH into an index of State-of-Health.

Description

200918910 九、發明說明: 【發明所屬之技術領域】 本發明係關於一種電池健康狀態估測方法,特別是關於利用 在一預定時間間距内量測電池之放電電流資料及放電電壓資料, 並利用該放電電流資料及放電電壓資料計算其健康狀態輔助診斷 值〔value 〇f auxiliary diagnosis state_〇f_health (ads〇耵 〕,利用該健康狀態輔助診斷值進行分析該電池之健康狀態〔 state of health〕之估測方法。 【先前技術】 近年來隨著科技的不斷發展,許多電腦相關脑設備〔例如 工作站、縣儀◎及業生產機II設備等〕均需高品質電源供 % 旦發生電力不穩定或中斷時,這些電腦相關儀器設備的運 轉極可能遭f嚴重的影響或破壞。為了賴防止發生電力中斷及 能及時提供穩定電源之目的,在這些儀ϋ設備上廣泛配置電池, 以便提供⑥品質電源,以料這些儀s設備的備用電源。 電池除了能提供高品質電源之外’其亦可作為儲能元件,以 便應用在各種移動式電動設備或緊急用電設備上。例如,電動車 柄、通訊設備及緊急照明器材等皆需要採用電池作為其電源。然 而’電池經長期使用後,其必然發生老化或劣化現象,因而必須 债測電池的健康狀態,以便提早發現電池發生老化或劣化現象。 “就電池發生老化現象而言,鉛酸電池老化原因包含電極腐蝕 々屯極活性物質下降、活性物質硫酸錯之不可逆性、短路及失水 等。此外’在電池本身某些元件呈現老化劣化時,亦造成電池在 放電過私巾其放電曲線會發生變形之現象。 200918910 電池放’電7綠態請方純含電綠量分析方法、 六…兒C〇UP de fout分析方法、電池阻抗分析方法、電池 放電操作狀態分析妓或_人工智慧分析方法等。’ 、放電池容量分析方法時,纽電池容量受制於充電狀況 电。、机、儲存溫度、電池初始狀況等條件因素影塑,因此兑 为析結果存錢多不__素,因此其純分析結料準麵 、、:¼用電池放電電壓⑺叩⑯’恤分析方法或電池阻抗分 析方法% ’其均需要_精密制似,因此其具有增加設備成 t的缺點。當採用電池充放電操作狀態分析方法或制人工智慧 刀析方法日$ ’則其分析方法具有過於複雜的缺點。 白'用電池狀態分析方法,如中華民國專利第1286218號,其 揭:利用電池之放電電壓及放電電流資料,在—預定時間間距分 析電池放電電壓及放電電流之變化,在放電電流變化量之可接受200918910 IX. Description of the Invention: [Technical Field] The present invention relates to a battery health state estimation method, and more particularly to measuring discharge current data and discharge voltage data of a battery within a predetermined time interval, and utilizing the The discharge current data and the discharge voltage data are used to calculate the health state auxiliary diagnosis value (value 〇f auxiliary diagnosis state_〇f_health (ads〇耵), and the health state auxiliary diagnosis value is used to analyze the state of health of the battery. Estimation method. [Prior Art] In recent years, with the continuous development of science and technology, many computer-related brain devices (such as workstations, county meters, and production machine II equipment) require high-quality power for power instability or When interrupted, the operation of these computer-related instruments is likely to be seriously affected or destroyed. In order to prevent power interruption and provide stable power supply in time, batteries are widely deployed on these devices to provide 6-quality power. In order to supply the backup power of these devices. In addition to high-quality power supply, it can also be used as an energy storage component for a variety of mobile electric devices or emergency electrical equipment. For example, electric handles, communication equipment and emergency lighting equipment need to use batteries as their power source. However, 'after long-term use of the battery, it will inevitably age or deteriorate. Therefore, it is necessary to test the health status of the battery in order to detect the aging or deterioration of the battery early. "In terms of aging of the battery, the cause of aging of the lead-acid battery Including the electrode corrosion bungee active material drop, the active material sulfuric acid irreversible, short circuit and water loss, etc. In addition, when some components of the battery itself show aging deterioration, the discharge curve of the battery in the discharge of the private towel will also occur. The phenomenon of deformation. 200918910 Battery discharge 'Electric 7 green state Please pure pure electricity green analysis method, six... C〇UP de fout analysis method, battery impedance analysis method, battery discharge operation state analysis 妓 or _ artificial intelligence analysis method Etc.. When discharging the battery capacity analysis method, the capacity of the New Battery is subject to the charging status. Conditional factors such as machine, storage temperature, initial state of the battery, etc., so the savings are not __, so the pure analysis of the junction standard,: 1⁄4 battery discharge voltage (7) 叩 16' shirt analysis method Or the battery impedance analysis method % 'all of which need _ precision system, so it has the disadvantage of increasing the device into t. When using the battery charge and discharge operation state analysis method or the artificial wisdom knife analysis method, the analysis method has too much Complex shortcomings. White's battery state analysis method, such as the Republic of China Patent No. 1286218, which discloses: using the discharge voltage and discharge current data of the battery, analyzing the discharge voltage and discharge current of the battery at a predetermined time interval, in the discharge Acceptable amount of current change

值内比對該放電電壓資料及其變化資料並將比對結果顯示為一健 康狀態診斷指標D 由於該第1286218號必須同時計算電池放電電壓及放電電流 之變化1 ’並加以比對才能做為健康狀態診斷之依據,其變化量 计算過程就必須考慮時間之因素,如此將增加一運算變數及其繁 雜度’且變化量比對時其電池放電電流之變化量必須先設定一可 接雙值。然而,不同電池其放電電流之變動對電池放電電壓之影 響均不相同,所以在診斷過程中該可接受值之設定變得非常複雜 。唯有適當之可接受值才會有正確之比對結果作為一健康狀態診 斷指標。如此’該電池狀態分析方法在實際使用時具有繁雜度甚 高之缺點。 200918910 另-習用電池狀態分析方法,如美國專利第6668247號,其 揭示湘電_雜抗之料及電池充放電使狀次數資料 .,,工由权糊系統刀析後,即可決定電池健康狀態。然而,當採用 該電池狀態分析方法時,在魏上必須配置好的儀^設備,如 二號產生$阻抗里測裝置、電壓電流量測裝置及微電腦控制器 等再、、二由模糊系統進行分析,該模糊系統則需先利用電池内Intra-value ratio of the discharge voltage data and its change data and the comparison result is shown as a health status diagnostic index D. Since the 1286218 must simultaneously calculate the battery discharge voltage and the discharge current change 1 ' and compare them to be The basis for the diagnosis of health status, the calculation process of the change amount must take into account the time factor, so that the operation variable and its complexity will be increased, and the change of the battery discharge current must be set to a double value before the change amount is compared. . However, variations in the discharge current of different batteries have different effects on the discharge voltage of the battery, so the setting of the acceptable value becomes very complicated during the diagnosis. Only the appropriate acceptable value will have the correct comparison result as a health status diagnostic indicator. Thus, the battery state analysis method has a disadvantage of being highly complicated in actual use. 200918910 Another-practical battery state analysis method, such as U.S. Patent No. 6,668,247, which discloses the information of the electric power and the charge and discharge of the electric power of the electric power, and the battery health status can be determined after the tool is analyzed by the system. . However, when the battery state analysis method is adopted, the device must be configured on the Wei, such as the No. 2 generating the impedance measuring device, the voltage and current measuring device, the microcomputer controller, etc., and the second is performed by the fuzzy system. Analysis, the fuzzy system needs to first use the battery

雜抗1池充放電次數及電池健康狀態料料進行麟,如此 忒杈糊系統方能決定電池之健康狀態。 电 ’雜祕彳M、,其僅職微_⑽〕至數十微 = ’因此該第66_號電池狀態分析方法所採用的訊 =及阻抗㈣裝錯了必彡斜分精料,亦尚必須定期校 否則將導致誤差不斷擴大。b . 同的電、、也㈣祕 此外,各種薇牌之電池具有不相 廢牌心ΓιΓ錢彳_她構時,必須麟測之各種 ^ m東’若發生已鱗模«統之·m生盥样、目卜 池特性不符時,其需要依制電池特M 續4測電 如此該電替能〜 冊再重新·該模糊系統, 另—用r:在㈣使叫财衫繁财之缺點。 揭示利^析^狀齡析方法,如美國專利第__號,其 量。另—士呆作'皿度專進而決定對電池提供足夠之充兩 時之電Γ面’該電池狀態分析方法同時亦利用電池在完成^ β電1進行分析健康狀態,其係藉由電池 ^ :否落在内建之建康狀態限制視窗内的方式 顯然, 該第6362601號電池狀態分析方法利用 電池内部極板 200918910 1也自放電冑池放電深度、電池老化之關係曲線來表示電池 電/接板退化之程度。另外,—般各魏牌之電池具有不相同的 也特1± ’所以錢立關係㈣時’必須依制之各種礙牌電池 立立各種關係曲線。因此,若該方法必須逐-依各種轉電池建 ,關係曲線時’造成其在實際使用時具有應用複雜的缺點。此外 為第63626G1號電池狀態分析方法另涉及充電功能,若現場設 僅而要^•’鍵康狀態指示功能時,該方法並不適用此需求。 簡言之,前述習用電池狀態分析方法仍有必要進一步改善其 ,點’以便採用簡化的分析作業及簡單的系統分析,並提供特定 需求的功能。 户有鑑於此,本發明為了改良上述缺點,其利用在一預定時間 —巨内望測電池之放電電流資料及放f電壓資料,並利用該放電 ^資料及放電電資料計算其健康狀態輔助診斷值〔㈣此〇f =〇Η〕。在計算該健康狀態輔助診斷值過程中僅利用兩次取樣資 :斗間之功率差異進彳τ計算,且不需考慮時間變化率,所以其簡化 。十〜再直接湘雜康狀態輔助診斷值是否高於—預定上限值 或低於—預疋下限值的方式進行分析該電池之健康狀態。在計算 崎程中不需要再另設—可接受值進行啸,如此本發明能達成直 接分拚電池健康狀態及簡化分析方法之目的。 【發明内容】 本發明之主要目的係提供—種電池健康狀祕測方法,其利 用在〜預定時間間距内量測電池之放電電流資料及放電電壓資料 亂教利用該放電電流㈣及放電電壓資料計算其健康狀態輔助診 _後,利践健康狀態輔助診斷值是否高於—預定上限值或低於 200918910 一預定下限值的方式進行分析該電池之健康狀態,以達成直接分 析電池健康狀態及簡化分析方法之目的。 為了達成上述目的,本發明之電池健康狀態估測方法包含步 驟: 設定一預定時間間距,並提供一電池之數個放電電流資料及 數個放電電壓資料; δ又疋δ亥預疋時間間距之健康狀態辅助診斷值之一上限值及一 下限值; 利用該放電電流資料及放電電壓資料計算其放電功率及健康 狀態輔助診斷值; §己錄邊放電電流資料、放電電壓資料、放電功率及健康狀態 輔助診斷值; 判斷該健康狀關助輯值是否高賊上紐絲於該下限 值;及 將該健康狀態__值之繼結果轉換為_健康狀態指標 〇 本發明另一實施例之電池健康狀態估測方法僅包含步驟: 提供-電池在-敢時間間距内之數個放電電流資料及數個 放電電壓資料’並設定該預定時間間距之健康狀態輔助診斷值之 —上限值及一下限值; 利用該放電電«料及放電電壓資料計算其健綠態輔助誇 斷值; .判斷該健康狀態輔助診斷值0高於該上限值或低於該下限 200918910 提供忒健康狀態輔助診斯 =斷值之_結果轉換為1康《指標。’捕該健康狀態輔 【實施方式】 為了充分瞭解本發明,於下 圖式作詳細說明, +叙么貧施例並配合所附 且其並非用以限定本發明。 程圖池健她娜法之流 、第1圖所不,首先,本發明 在第一執行步驟S1中,其“執行 健±康狀恶估測方法 間〕’操作者可依需求設定該預定_距::=距並::時 電池物程中之放電電流資料及放電電壓資料::電:在進在 放電期間,利[量„置量_電池之放^^進行 池之㈣電流資料及放„„料,並經—傳輸 池之放電電流資料及放電電壓資料至—資料庫〔 atabase〕。接著’由該f料庫提供該電池之放電電❹ “壓⑽,⑽在_執行細進行計諸康狀態伽診斷值。 ,再參照第i圖所示’接著’本發明之電池健康狀態估測 法在第二執行步驟S2中,其用以執行依在第—執行步驟幻所^ 成的預定時間間距設定其健康狀態輔助診斷 ^ 〈 上限值及一下 該上限值及下限值形.預定範圍。操作者可依該預 間間距之長度設定該健康狀態輔助診斷值之上限值及下卩『值、 便決定在該預定時間間距内量測該電池之放雷 以 一 电/從育料及放電雷 壓貧料,並在後續執行步驟計算其健康狀態輔助診斷值。 請再《第i圖所示’《’本發明之電池健康狀態估測方 10 200918910 法在第三執行步驟S3中,其用以 執仃在该預疋時間間距内計算健康 狀癌輔助診斷值。在第三執行步 e Φ外S3之則,於第一執行步驟si 立已取侍§亥電池之放電電流 貝枓及放電電壓資料。 本發明採用健康狀態輔助診斷 式如下. 研值L value of ADS0H〕之計算 ΔΙη+1=Ιη+.-Ιη ⑴The number of times of charge and discharge of the miscellaneous anti-cell 1 and the health status of the battery are carried out, so that the system can determine the health of the battery. Electric 'Miscellaneous 彳M,, its only job micro _ (10)) to tens of micro = ' Therefore, the signal used in the 66__ battery state analysis method = and impedance (four) installed wrong must be obliquely divided fine, also It is necessary to have a regular school or it will lead to an error. b. The same electricity, and (four) secret In addition, all kinds of Wei brand's battery has a non-corruption card heart Γ Γ Γ 她 她 _ _ her construction, must be measured by the various ^ m East 'if it has been scaled model « unified · m When the characteristics of the oysters and the pools are inconsistent, they need to be based on the battery M. Continued 4 test so that the electricity can be replaced by the book, and then the fuzzy system, and another: use r: in (4) make the money rich Disadvantages. Explain the method of analyzing the age, such as the US patent __, the amount. In addition, the singularity of the singularity of the singularity of the singularity of the singularity of the singularity of the battery is also determined by the battery. : The method of the built-in Jiankang state restriction window is obvious. The battery state analysis method of No. 6362601 uses the battery internal plate 200918910 1 to also indicate the battery power from the discharge depth of the discharge cell and the battery aging curve. The extent to which the board is degraded. In addition, the batteries of the Wei brand are different, and they are also different from each other. Therefore, when the money is related (4), various obstacles must be established according to various obstacle batteries. Therefore, if the method has to be built on a per-battery basis, the relationship curve will cause it to have a complicated application disadvantage in actual use. In addition, the battery state analysis method of the No. 63626G1 further involves a charging function, and if the field is only required to be a ^•' key state indicating function, the method does not apply to this requirement. In short, the aforementioned conventional battery state analysis method still needs to be further improved in order to employ simplified analysis operations and simple system analysis, and to provide functions for specific needs. In view of the above, in order to improve the above disadvantages, the present invention utilizes the discharge current data and the discharge voltage data of the battery at a predetermined time, and uses the discharge data and the discharge electrical data to calculate the health status auxiliary diagnosis. Value [(4) This 〇f = 〇Η]. In the process of calculating the health state auxiliary diagnostic value, only two sampling resources are used: the power difference between the buckets is calculated by 彳τ, and the time change rate is not considered, so it is simplified. The health status of the battery is analyzed in the manner of whether the auxiliary diagnostic value of the direct Xiangkang state is higher than the predetermined upper limit value or lower than the lower limit value. There is no need to set another value in the calculation of the Saki process - the acceptable value for the whistling, so that the invention can achieve the purpose of directly dividing the battery health state and simplifying the analysis method. SUMMARY OF THE INVENTION The main object of the present invention is to provide a method for measuring the health of a battery, which utilizes the discharge current data and the discharge voltage data of the battery within a predetermined time interval to utilize the discharge current (four) and the discharge voltage data. After calculating the health status of the auxiliary diagnosis, analyze whether the health status auxiliary diagnosis value is higher than the predetermined upper limit value or lower than the predetermined lower limit value of 200918910 to analyze the health status of the battery to achieve direct analysis of the battery health status. And simplify the purpose of the analytical method. In order to achieve the above object, the battery health state estimation method of the present invention comprises the steps of: setting a predetermined time interval, and providing a plurality of discharge current data and a plurality of discharge voltage data of a battery; δ 疋 疋 亥 疋 疋 疋 疋 疋 疋 疋The upper limit value and the lower limit value of the health status auxiliary diagnosis value; the discharge power data and the discharge voltage data are used to calculate the discharge power and the health state auxiliary diagnosis value; § the recorded side discharge current data, the discharge voltage data, the discharge power and a health status auxiliary diagnostic value; determining whether the health condition assist value is a high thief on the lower limit; and converting the health status__ value to a health status indicator. Another embodiment of the present invention The battery health state estimation method only includes the steps of: providing - a plurality of discharge current data and a plurality of discharge voltage data in the battery-danger interval and setting an upper limit value of the health state auxiliary diagnostic value of the predetermined time interval And the lower limit value; using the discharge electric material and the discharge voltage data to calculate the green state assisted exaggeration value; The state auxiliary diagnosis value 0 is higher than the upper limit value or lower than the lower limit. 200918910 Provides the health status of the auxiliary state diagnosis = the value of the value of the value is converted to 1 Kang "indicator. </ RTI> </ RTI> </ RTI> </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; In the first execution step S1, the "execution of the health assessment method" is performed by the operator. The operator can set the reservation according to the requirements. _::============================================================================================================ „Material, and through—the discharge current data and discharge voltage data of the transmission pool to the database [atabase]. Then, 'the discharge battery of the battery is provided by the f-repository. The pressure (10), (10) is calculated in the _ execution fine, and the battery health status estimation of the present invention is shown next to the figure i. In the second execution step S2, the method is configured to perform the health condition auxiliary diagnosis and the upper limit value and the lower limit value according to the predetermined time interval of the first execution step. The predetermined range. The operator can set the upper limit value of the health auxiliary auxiliary diagnosis value and the value of the lower limit according to the length of the pre-interval, and determine to measure the lightning release of the battery within the predetermined time interval. From the breeding and discharge of lightning pressure, and in the subsequent steps to calculate the health status of the auxiliary diagnostic value. Please refer to the "I figure of the battery health state estimation method 10 200918910 in the third implementation step In S3, it is used to calculate the health cancer auxiliary diagnosis value within the pre-turn time interval. In the third execution step e Φ outside S3, in the first execution step si has taken the discharge of the § 电池 battery Current bellows and discharge voltage data The present invention employs the following formula health diagnosis. RESEARCH value L value of the calculated ADS0H] ΔΙη + 1 = Ιη + .- Ιη ⑴

△Hp,Vn+]In+1-VnIn = νη+!(Ιη+ΔΙη+1)-νηΙη = (Χ+1-νη)ΐπ+νη+1Δΐη+1 〔2〕 tanh(AI_, )= sinh(AIn+1)=义叫)_e-(〜) ' cosh(AIn+1 ) ) +e-(^'n+7T 〔3〕 ADSOH# = ΔΡη+1 -νη+]Δΐητΐ -(Vn+1-Vn)In*|tanh(AIn+1^ (X+1 _Vn)In +νη+ιΔΙη+, -νη+1ΔΙη+1 ·νη)Ιη ” tanh(AI n ,)| =(X+1 -Vn)In -(Vn+1 -Vn)In * I tanhCAi^ )| &quot;+ 〔4〕 其中:I為電池放電電流;In+1為第n+1二欠取樣之電池放電電 流;In為第η次取樣之電池放電電流;Λΐη+ι為第η+ι次與第n次 取樣之電池放電電流之差值;V為電池放電電壓;v ^ 人 ^ n+l馬第n+l次 取樣之電池放電電壓;Vn為第η次取樣之電池放電電 4 ’ Z\Vn” 為第n+1次與第η次取樣之電池放電電壓之差佶.p氐 . 盎值,·^為電池放電功 率;Ρη+1為第η+1次取樣之電池放電功率;ρ盔 &quot;马弟η次叔樣之電 放電功率;△!&gt;,為第η+1:欠與第η次取樣之電池放電料之差值 ;ADSOHn+1為第η+ι次取樣之電池健康狀態補助診斯值 200918910 本發明之第 .執行步驟S3選 電電流資料狀”壓資料執行計 態輔助診斷值 擇利用在該預定時間間距内之放 异’以獲得其放電功率及健康狀 m再爹照第△Hp,Vn+]In+1-VnIn = νη+!(Ιη+ΔΙη+1)-νηΙη = (Χ+1-νη)ΐπ+νη+1Δΐη+1 [2] tanh(AI_, )= sinh(AIn +1)=义叫)_e-(~) ' cosh(AIn+1 ) ) +e-(^'n+7T 〔3] ADSOH# = ΔΡη+1 -νη+]Δΐητΐ -(Vn+1-Vn )In*|tanh(AIn+1^ (X+1 _Vn)In +νη+ιΔΙη+, -νη+1ΔΙη+1 ·νη)Ιη ” tanh(AI n ,)| =(X+1 -Vn)In -(Vn+1 -Vn)In * I tanhCAi^ )| &quot;+ [4] where: I is the discharge current of the battery; In+1 is the discharge current of the battery with the n+1th under-sampling; In is the nth time Sampling battery discharge current; Λΐη+ι is the difference between the η+ι and the nth sampling battery discharge current; V is the battery discharge voltage; v^人^n+l horse n+l sampling battery Discharge voltage; Vn is the battery discharge power of the nth sampling 4 ' Z\Vn" is the difference between the discharge voltage of the n+1th and nth sampling batteries 佶.p氐. 昂,·^ is the battery discharge power ; Ρ η +1 is the battery discharge power of the η +1th sampling; ρ helmet &quot; 弟 次 叔 叔 之 之 之 电 ; △ △ △ & & & & & & & & & , , , 第 第 电池 电池 电池 电池Difference between discharge materials; ADSOHn+1 is η+ι Sampling battery health status subsidy value 200918910. The first step of the present invention. Step S3 selects the electric current data type "pressure data to perform the state-adjusted diagnostic value selection to utilize the distraction within the predetermined time interval to obtain the discharge power and Health m

法在第四執行步驟中'、复#本發月之電池健康狀態估測方 電電壓、放電功率及健了用以執行圮錄該電池之放電電流、放 電電流、放電電壓、放=態輔助診斷值 等資料。將該電池之放 至該資料庫,且將該資:力率及健康狀態輔助診斷值等資料記錄 示在曲線社。再者,纟㈣㈣或其他電腦繪圖手段顯 測方法依需求可選擇省發明另—較佳實施例之電池健康狀態估 步驟S5,於此不予詳細贅執仃步驟S4 ’而直接執行第五執行 請再參照第1圖所示,^ 法在第五執行步驟S5中1接著’本發明之電池健康狀態估測方 康狀態輔助診斷值是否t其心執行判斷在該預定時關距内之健 行步驟S5之前,㈣133於該上限值或低於該下限值。在第五執 、第四執杆〇 助診斷值,另於第二執行牛已取得該電池之健康狀態輔 上限值及下限值。因此仃步驟^已設定該健康狀態獅診斷值之 電池之健康狀_助_^財時_距之《過程中判斷該 請再參照第1圖所,-、,疋否向於該上限值或低於該下限值。 上較佳採用—運算單元7本翻之第五執行步驟S5在執行判斷 斷。 中央處理裔〔CPU〕,即可完成執行判 請再參照第1圖所示Λ 法在第六執行步驟S6中,Α ’本《明之電池健康狀態估測方 判斷結果轉換為-健康、用以細將雜綠關助診斷值之 ”、癌指標。本發明之第六執行步驟S6在執 12 200918910 打顯示上,其較佳經一傳輸手段提供至一顯示單元或一 警 早元 1, 第2圖揭示本發明較佳實施例電池健康狀態估測方法顯示電 池之放電電流、放電電壓、放電功率及健康狀態辅助診斷值之曲 線圖。請參照第2圖所示,曲線l〇a係顯示放電電流與時間之關 係曲線,其顯示該放電電流在放電過程中並未發生明顯變化,該 放電電僅在放電末段時僅產生稍明顯變化。相對的,曲線1〇匕 係顯示放電電壓與時間之_曲線,其中在電池開始放電瞬間發 生放電電壓之驟降及在放電終止時發生較大之下降量,但在整個 放電過程中,該放電電壓呈現持續緩慢下降而未發生驟降的=形 :相對的,曲線lGe係顯示放電功率與時間之關係曲線,其中在 電池開始放電_發生放電功率之騎及在放電終止時發缝大 之下降量’但在㈣放電過程巾,紐電功率呈輯續緩慢^降 而未再發生驟降的情形。相對的’曲線1()d係顯示健康狀態辅助 診斷值與時間之Μ鱗,其中在電池開始放電瞬間及在放電終 止時’雜康狀態輔助賴值產生較大變化量,但在整個放電過 該健康狀態輔助診斷值呈現持續緩慢下降而未發生較大= 化里的if形。除了僅在電池開始放電瞬間及放電終止時之外,曲 之健康狀態輔助診斷值均維持在—預設範圍内。本發明較 =採用健康狀關助診斷值之―上限值及—下限值設定該預定^ 在電池健綠態_上,本發明可不予考慮職池在電 始、放電瞬間及放Ί終切之狀態’如此可讀該電池健康狀 良好狀態〃。 200918910 ^ ^ 本發月奴佳實施例電池健康狀態估測方法顯示電 池之放電電流、放電 毛 ^ ώ 电反、放電功率及健康狀態輔助診斷值之另 一曲線圖。譜夂日”筮q &gt;〃、、 圖所示,曲線20a係顯示放電電流與時間 之關係曲線,其顯示兮仿+ 、’’ 玫電電流並未發生明顯變化。相對的,曲 線」Ub係顯示放電電壓 &gt; ,+ 电土與時間之關係曲線,在整個放電過程中, S亥放電電壓亦產生幾次 ⑽降及驟狀現象。自該《f壓產生兩 -人私降及—次驟升德, 。 嗞放電電壓始終持續維持在低電壓的狀態In the fourth execution step, the battery health state of the month of the month is estimated, and the battery voltage, the discharge power, and the discharge current, the discharge current, the discharge voltage, and the discharge state are used to perform the recording. Diagnostic values and other information. The battery is placed in the database, and the data such as the force rate and the health status auxiliary diagnosis value are recorded in the curve company. Furthermore, 纟(4)(4) or other computer graphics means can select the battery health state estimation step S5 according to the requirements of the preferred embodiment, and the fifth execution is directly executed without performing step S4' in detail. Referring to FIG. 1 again, the method in the fifth execution step S5 is followed by the 'battery health state estimation of the present invention, and the state-of-the-art diagnostic value is determined to be the heart of the exercise within the predetermined time interval. Before step S5, (4) 133 is at or below the upper limit value. In the fifth and fourth executions, the diagnostic value is used, and the second execution cow has obtained the upper limit and the lower limit of the health status of the battery. Therefore, step ^ has set the health status of the battery of the diagnostic value of the health lion _ _ _ _ _ _ _ _ _ _ "In the process of judging, please refer to Figure 1, -,, 疋 to the upper limit Or below the lower limit. Preferably, the arithmetic unit 7 performs the determination in the fifth execution step S5. The central processing unit (CPU) can complete the execution of the judgment and refer to the method shown in Fig. 1. In the sixth execution step S6, Α 'the battery health state estimation party judgment result is converted to - health, used The sixth step S6 of the present invention is displayed on the display 12 200918910, which is preferably provided to a display unit or a police early element 1 by a transmission means. 2 is a graph showing a battery health state estimation method according to a preferred embodiment of the present invention, showing a discharge current, a discharge voltage, a discharge power, and a health state auxiliary diagnosis value of the battery. Referring to FIG. 2, the curve l〇a is displayed. The discharge current versus time curve shows that the discharge current does not change significantly during the discharge process, and the discharge electricity only produces a slight change at the end of the discharge. In contrast, the curve 1 shows the discharge voltage and Time curve, in which a sudden drop in discharge voltage occurs at the beginning of discharge of the battery and a large drop occurs at the end of discharge, but during the entire discharge process, the discharge voltage is held Slowly falling without a sudden drop = shape: In contrast, the curve lGe shows the discharge power versus time, where the battery begins to discharge _ the power of the discharge occurs and the amount of the sag at the end of the discharge is reduced. In the (four) discharge process towel, the power of the new power is slowly slowed down and no sudden drop occurs. The relative 'curve 1 () d shows the health status auxiliary diagnosis value and time scale, in which the battery begins to discharge And when the discharge is terminated, the miscellaneous state assisted value produces a large amount of change, but the auxiliary diagnostic value of the healthy state shows a continuous slow decline in the entire discharge without a large i-form. In addition to only starting at the battery In addition to the moment of discharge and the termination of discharge, the auxiliary diagnostic value of the health status of the curve is maintained within the preset range. The present invention compares the upper limit and the lower limit of the diagnostic value of the health condition to set the predetermined ^ In the green state of the battery, the present invention can not consider the state of the battery at the beginning of the electric charge, the moment of discharge, and the state of the end of the discharge. The state of health of the battery is so readable. 200918910 ^ ^ This month The battery life state estimation method of the preferred embodiment shows another graph of the discharge current, the discharge hair ώ, the electric power, the discharge power and the health state auxiliary diagnostic value of the battery. The spectrum 夂 day 筮q &gt;〃, Curve 20a shows the discharge current versus time curve, which shows that the electric current of the imitation + and '' has not changed significantly. In contrast, the curve "Ub" shows the discharge voltage &gt;, + electric soil versus time curve. During the entire discharge process, the S Hai discharge voltage also produces several (10) drops and sudden changes. Since the "f pressure, two people have privately descended and - the sudden rise of Germany."嗞The discharge voltage is always maintained at a low voltage

资曲線2QC係顯示放電功率與時間之關係曲線,其中不 開始放電瞬間發生放電功率之驟降,在整個放電過程中 20d係力率亦產f兩切降及—讀升之現象。相_,曲線 健康狀態細診喃與時間之 關係曲線,在整個放電過 程中,該健康狀態輔助診 值相對於在曲線2〇c之放電功率發生 驟降及驟升時亦發生柏啦_丄 、大的振蘯,該健康狀態輔助診斷值已超 出該預定範圍,如此可判 j斷该電池健康狀態為 '、不良狀態,,,因而 需要更換新電池。 、第4 H揭林發日她佳實施例電池健康狀態㈣方法顯示電 池之放電電流、放電雷厭 塾、放電功率及健康狀態輔助診斷值之另 一曲線圖。請參日3篦4 ® α _ 、 斤不,曲線30a係顯示放電電流與時間 之關係曲線’在整個放電過財,職電電流發生兩次變化。相 對的’曲線3Gb係顯示放電電堡與時間之關係曲線,除了在該電 池開始放電瞬間放電電壓產生驟降外,在整個放電過裎中,曲線 m之放電電壓相對於曲線3Ga之放電電流發生變化時亦發生兩次 變化。相對的’曲線槪係顯示放電功率與時間之_曲線,其 中在電池開始放電瞬間發生放電功率之驟降之外,曲線歎之放 200918910 電功率在相對於曲線3Ga之放電電流發生變化時亦發生兩次 。相對的’曲線30d係顯示健康狀態輔助診斷值與時間之關係 Γ中在電池開始放電制,其健康狀態辅助診斷值產生較大 變化里。此外,在整個放電過程巾賴康狀態獅料值均 在顧定|ag[内。顯然,該健康狀態輔助診斷值在實際上左 著該放電電流之變化而產生相對明顯變化或影響。 ^The 2QC curve shows the relationship between discharge power and time. The sudden drop of discharge power occurs when the discharge does not start. The 20d system force rate also produces the phenomenon of two cut-offs and read-ups during the entire discharge process. Phase _, curve health status of the relationship between the diagnosis and the time of the curve, during the entire discharge process, the health status of the auxiliary diagnosis value relative to the discharge power of the curve 2 〇 c sudden drop and spurt also occurred The large vibration, the health status auxiliary diagnosis value has exceeded the predetermined range, so that the battery health status is determined to be ', a bad state, and thus a new battery needs to be replaced. The fourth embodiment of the battery health state (four) method shows the battery discharge current, discharge lightning 塾, discharge power and health status auxiliary diagnostic value of another graph. Please refer to 3篦4 ® α _ , 斤 不 , curve 30a shows the relationship between discharge current and time ' During the entire discharge, the occupational current changes twice. The relative 'curve 3Gb system shows the discharge electric bunker versus time curve. Except for the sudden drop of the discharge voltage at the beginning of the discharge of the battery, the discharge voltage of the curve m is generated with respect to the discharge current of the curve 3Ga throughout the discharge overshoot. There were also two changes in the change. The relative 'curve tether shows the curve of discharge power versus time. In addition to the sudden drop in discharge power at the moment the battery begins to discharge, the curve sighs the 200918910 electric power when the discharge current relative to the curve 3Ga changes. Times. The relative 'curve 30d' shows the relationship between the health-related auxiliary diagnostic value and the time. In the case where the battery starts to discharge, the health-related auxiliary diagnostic value is greatly changed. In addition, the value of the Lai Kang status lion in the entire discharge process is in Guding |ag [inside. Obviously, the health status aided diagnostic value produces a relatively significant change or effect in effect actually following the change in the discharge current. ^

縱使在整個放電触巾放電電流、放電電敍放電功率 兩人明顯k化’㈣健康狀態輔助輯值並未隨著鼓 變化或影響。料,在電續錄祕耻,本發啊不予考= = 電池開始放電瞬間之狀態,如此仍可判斷其電池健康狀 心為良好狀態,’因而可判定目前並不需要更換新電池。是以, 本發明較佳實施例電池健康狀態估測方法並不受放”流變化之 干擾,且在電池健康狀態估測上不致產生誤判。 二月再參照第2至4圖所示’本發明之電池健康狀態估測方法 利用该健缝Μ助料歧否高於該域值魏料下限值〔 =維持細就範_〕的輯方式,即可_該電池健康狀 7良好H或*良狀態’。本發明之電池健康狀態估測方 :另將判斷結果直接傳輸及顯示,或將判斷結果轉換為該健康狀 前述較佳實關卿例說財發較純術贿,該實施例 之技術仍可適當進行各種實料效修飾及/或替齡^以實施; =此’本發明之權利範_視後”請專魏圍所界定之^圍為 15 200918910 【圖式簡單說明】 第1圖:本發明較佳實施例之電池健康狀態估測方法之流程 圖。 第2圖··本發明較佳實施例電池健康狀態估測方法顯示電池 之放電電流、放電電壓、放電功率及健康狀態輔助診斷值〔value of ADS0H〕之曲線圖。 第3圖:本發明較佳實施例電池健康狀態估測方法顯示電池 之放電電流、放電電壓、放電功率及健康狀態輔助診斷值之另一 曲線圖。 第4圖:本發明較佳實施例電池健康狀態估測方法顯示電池 之放電電流、放電電壓、放電功率及健康狀態輔助診斷值之另一 曲線圖。 【主要元件符號說明】 SI-S6 第一執行步驟至第六執行步驟 1 Oa、20a、30a 放電電流與時間之關係曲線 1 Ob、20b、30b 放電電壓與時間之關係曲線 1 Oc、20c、30c 放電功率與時間之關係曲線 10d、20d、30d 健康狀態輔助診斷值與時間之關係曲線 16Even if the discharge current and the discharge electric discharge power of the entire discharge contact are significantly k-' (4), the health status auxiliary value does not change or influence with the drum. Material, in the re-recorded secret shame, this hair does not test = = the state of the battery began to discharge, so you can still judge the health of the battery is in good condition, so it can be determined that there is no need to replace the new battery. Therefore, the method for estimating the health state of the battery according to the preferred embodiment of the present invention is not interfered by the change of the flow, and the battery health state estimation is not misjudged. In February, reference is made to the figures shown in Figures 2 to 4. The method for estimating the health state of the battery of the invention utilizes the mode in which the cementation of the cement is higher than the lower limit of the domain value [= maintains the fineness _], and the battery health condition 7 is good H or * Good state'. The battery health state estimation side of the present invention: the result of the judgment is directly transmitted and displayed, or the judgment result is converted into the health condition. The above-mentioned preferred Guan Guan said that the financial transaction is purer than the bribe. The technology can still be properly implemented in various physical effects and/or ages to implement; = this 'the right scope of the invention _ after the view" please define the circumference of Wei Wei as 15 200918910 [Simplified illustration] Figure 1 is a flow chart showing a method for estimating the health of a battery in accordance with a preferred embodiment of the present invention. Fig. 2 is a graph showing a battery health state estimation method showing a discharge current, a discharge voltage, a discharge power, and a health state auxiliary diagnostic value (value of ADS0H) of the battery. Fig. 3 is a graph showing the battery health state estimation method of the preferred embodiment of the present invention showing another discharge current, discharge voltage, discharge power and health state auxiliary diagnostic value of the battery. Fig. 4 is a graph showing the battery health state estimation method of the preferred embodiment of the present invention showing another discharge current, discharge voltage, discharge power and health state auxiliary diagnostic value of the battery. [Main component symbol description] SI-S6 First execution step to sixth execution step 1 Oa, 20a, 30a Discharge current versus time curve 1 Ob, 20b, 30b Discharge voltage versus time curve 1 Oc, 20c, 30c Relationship between discharge power and time 10d, 20d, 30d Health status auxiliary diagnostic value versus time curve 16

Claims (1)

200918910 十、申請專利範圍: 1、 一種電池健康狀態估測方法,其包含步驟: 設定一預定時間間距,並提供一電池之數個放電電流資料及數 個放電電壓資料; 設定該預定時間間距之健康狀態輔助診斷值之一上限值及一 下限值; 利用該放電電流貧料及放電電壓貢料計鼻其放電功率及健康 狀態輔助診斷值; 記錄該放電電流資料、放電電壓資料、放電功率及健康狀態輔 助診斷值; 判斷該健康狀態輔助診斷值是否高於該上限值,且判斷該健康 狀態輔助診斷值是否低於該下限值;及 將該健康狀態輔助診斷值之判斷結果轉換為一健康狀態指標。 2、 一種電池健康狀態估測方法,其包含步驟: 提供一電池在一預定時間間距内之數個放電電流資料及數個 放電電壓資料,並設定該預定時間間距之健康狀態輔助診斷值 之一上限值及一下限值; 利用該放電電流資料及放電電壓資料計算其健康狀態輔助診 斷值; 判斷該健康狀態輔助診斷值是否高於該上限值,且判斷該健康 狀態輔助診斷值是否低於該下限值;及 提供該健康狀態輔助診斷值之判斷結果。 3、 一種電池健康狀態估測方法,其提供一電池之至少一放電電流 資料及至少一放電電壓資料,利用該放電電流資料及放電電壓 17 200918910 資料計算一健康狀態辅助冷 是否超出-取範圍。值’_該健康狀態輔助診斷值 4、 ==^圍第卜2或3項所述之電池健康狀態估測方法, 中利用傳輸手段將該放带帝,&amp; 一丄 至一資料庫。 —貧料及放電電壓資料傳送 其 間 5、 依申請專利範圍第1或2項所述之電池健康狀態估測方法,200918910 X. Patent application scope: 1. A battery health state estimation method, comprising the steps of: setting a predetermined time interval, and providing a plurality of discharge current data and a plurality of discharge voltage data of a battery; setting the predetermined time interval The upper limit value and the lower limit value of the health state auxiliary diagnosis value; the discharge power and the health state auxiliary diagnosis value are measured by using the discharge current poor material and the discharge voltage tribute; recording the discharge current data, the discharge voltage data, the discharge power and a health status auxiliary diagnosis value; determining whether the health status auxiliary diagnosis value is higher than the upper limit value, and determining whether the health status auxiliary diagnosis value is lower than the lower limit value; and converting the judgment result of the health status auxiliary diagnosis value into A health status indicator. 2. A method for estimating a health state of a battery, comprising the steps of: providing a plurality of discharge current data and a plurality of discharge voltage data of a battery within a predetermined time interval, and setting one of the health state auxiliary diagnostic values of the predetermined time interval The upper limit value and the lower limit value are used to calculate the health condition auxiliary diagnosis value by using the discharge current data and the discharge voltage data; determining whether the health status auxiliary diagnosis value is higher than the upper limit value, and determining whether the health status auxiliary diagnosis value is low And the lower limit value; and the judgment result of the health state auxiliary diagnosis value. 3. A battery health state estimation method, which provides at least one discharge current data and at least one discharge voltage data of a battery, and uses the discharge current data and the discharge voltage 17 200918910 data to calculate whether a health state assisted cold exceeds a range. The value '_ the health status auxiliary diagnosis value 4, ==^ surrounding the battery health state estimation method described in item 2 or 3, using the transmission means to put the emperor, &amp; to a database. - the poor material and discharge voltage data transmission between them 5. According to the battery health status estimation method described in item 1 or 2 of the patent application scope, 中知作者依需求設定該預定時間間距,以便決定該預定時間 距内之放電電流資料及放電電壓資料。 6、 依申料利_第1或2項所述之電池健康狀態估測方法,A 中依需求設定該健康狀態辅助診斷值之上限值及下限值/、 7、 依申請專職㈣項所述之電池健綠態估測方法, 其中計算該健康狀態輔助診斷值所採用的計算式如下: ΔΙ n+l n+1 ΔΡη+1 = Ρη+Ι-Ρη=νη+]ιη+1-νηιη = νη+1(Ιη+ΔΙη+Ι)-νηΙη =(\+\ -νη)Ιη +νη+1 ΔΙη+1 tanh(Mn+1 )二 sinh(AI η+1) e(A!°+l) -e^1-!) cosh(AIn+1 ) +6-(δΤΙΓ) ADSOH n+l = ΔΡη+1 -νη+]ΔΙπ+] -(Vn+l-Vn)In*|tanh(AIn+l)| =(Vn+1 -Vn)In +ν„+〗Δ1η+| -νη+ιΔ1η+1 -(vn+丨-Vn)ln * jtanh (ΔΙ n+1)| -CVn,.-Vn)In-(Vn+1-Vn)In* [tanh (ΔΙη+1 )| 其中:I為電池放電電流;I⑷為第n+l次取樣之電池放電電流 ;In為第η次取樣之電池放電電流;為第η+ι次與第η 18 200918910 次取樣之電池放電電流差值;v為 次取樣之電池放電電壓;vn為第 電池放電電壓;v 為第n+1 次取樣之電池放電電壓; △ Vn+1為第n+1次與第n次取樣之電池放電電壓之差值;p為電 池放電功率,Pn+i為第n+1次取樣之電池放電功率;pn為第n 次取樣之電池放電功率;ΛΡη+〗為第η+1次與第η次取樣之電 池放電功率之差值;ADSOHn+1為第n+1次取樣之電池健康狀態 輔助診斷值。 19The author knows the predetermined time interval according to the requirement to determine the discharge current data and the discharge voltage data within the predetermined time interval. 6. According to the method for estimating the health status of the battery as described in Item 1 or 2, the upper limit and the lower limit of the auxiliary value of the health status are set according to the demand in A, and 7. According to the application for full-time (4) The battery green state estimation method, wherein the calculation formula for calculating the health state auxiliary diagnosis value is as follows: ΔΙ n+l n+1 ΔΡη+1 = Ρη+Ι-Ρη=νη+]ιη+1- Ηηιη = νη+1(Ιη+ΔΙη+Ι)-νηΙη =(\+\ -νη)Ιη +νη+1 ΔΙη+1 tanh(Mn+1 )two sinh(AI η+1) e(A!°+ l) -e^1-!) cosh(AIn+1) +6-(δΤΙΓ) ADSOH n+l = ΔΡη+1 -νη+]ΔΙπ+] -(Vn+l-Vn)In*|tanh(AIn +l)| =(Vn+1 -Vn)In +ν„+〗 Δ1η+| -νη+ιΔ1η+1 -(vn+丨-Vn)ln * jtanh (ΔΙ n+1)| -CVn,.-Vn In-(Vn+1-Vn)In* [tanh (ΔΙη+1 )| where: I is the discharge current of the battery; I(4) is the discharge current of the battery of the n+1th sampling; In is the discharge of the battery of the nth sampling Current; the battery discharge current difference between the η+ι and η 18 200918910 samples; v is the secondary battery discharge voltage; vn is the battery discharge voltage; v is the n+1th sampling battery Electric voltage; ΔVn+1 is the difference between the discharge voltage of the n+1th and nth sampling batteries; p is the discharge power of the battery, Pn+i is the discharge power of the battery of the n+1th sampling; pn is the first The battery discharge power of n samples; ΛΡη+ is the difference between the discharge power of the n+1th and nth samples; ADSOHn+1 is the battery health status auxiliary diagnosis value of the n+1th sampling.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI418830B (en) * 2011-03-23 2013-12-11
TWI451111B (en) * 2012-03-02 2014-09-01 Au Optronics Corp Method for estimating state of health (soh) of battery cell
TWI615621B (en) * 2013-01-22 2018-02-21 荷蘭能源研究中心 Method and device for testing solar cells

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* Cited by examiner, † Cited by third party
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US6469512B2 (en) * 2000-01-12 2002-10-22 Honeywell International Inc. System and method for determining battery state-of-health
US7199557B2 (en) * 2003-07-01 2007-04-03 Eaton Power Quality Company Apparatus, methods and computer program products for estimation of battery reserve life using adaptively modified state of health indicator-based reserve life models
TWI287313B (en) * 2004-11-29 2007-09-21 Lg Chemical Ltd Method and system for battery state and parameter estimation
EP2282391B1 (en) * 2005-10-21 2012-06-27 Stryker Corporation Battery with an internal microcontroller that draws different currents from the cells internal to the battery based on the temperature of the battery
TWI286218B (en) * 2006-04-27 2007-09-01 Ablerex Electronics Co Ltd Method for determining state-of-health of batteries

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI418830B (en) * 2011-03-23 2013-12-11
TWI451111B (en) * 2012-03-02 2014-09-01 Au Optronics Corp Method for estimating state of health (soh) of battery cell
TWI615621B (en) * 2013-01-22 2018-02-21 荷蘭能源研究中心 Method and device for testing solar cells

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