TW583408B - Equipment and method for searching the most appropriate charging curve of battery - Google Patents

Abstract

A kind of equipment and method for searching the most appropriate charging curve of battery are disclosed in the present invention. In the invention, a programmable charge/discharge module of battery is used to conduct multi-time and multi-stage charging test onto a charging battery. For the test, a charge/discharge module of battery is used to perform an assembled operation of optimized problem search principle so as to establish the programmed charging curve through the operation results. In addition, the charging curve is used to perform multi-stage charging onto the battery set so as to conduct search of the maximum charging capacity through the use of the searching principle. Thus, it is capable of fast obtaining the most appropriate charging curve before the battery leaves the factory for the battery manufacturer. Furthermore, it is capable of loading the charging curve into the charger to effectively raise charging efficiency and application lifetime of battery.

Description

583408 V. Description of the invention (1) [Technical field to which the invention belongs] The present invention relates to a device and method for searching for the optimal charging curve of a battery, in particular to a device and method for searching the optimal charging curve of a battery, which can effectively improve the charging efficiency and service life of the battery [Previous Technology] As the design and manufacturing of electronic products are shrinking in size, various portable electronic products are greatly improving the convenience of consumers in daily life. This trend has also led to the supply of such products. Rechargeable batteries for the power supply of electronic products are becoming increasingly important. For example, conventional mobile phone batteries such as lithium-based batteries, nickel-cadmium batteries, and nickel-metal hydride batteries, how to complete high-capacity charging in a short time without reducing the use of such batteries after repeated charging. The life span is the bottleneck of whether the relevant portable electronic products can be more popular in the market or meet the needs of consumers. In addition, for electric vehicles that have been developed but have been rarely heard, the aforementioned charging efficiency and battery life issues It is also the main reason for its difficulty to carry out. The battery charging method used in the conventional charger is a constant current / constant voltage method, which first charges the battery with a certain current and waits for the battery to reach the upper voltage limit of the battery (for example, the lithium battery is about 4 · 1 to 4. 2 volts), then switch to constant voltage charging. However, this conventional method cannot meet the requirements of fast charging and extended service life, because the constant voltage charging stage will greatly extend the charging time, which will also lead to battery life. Reduce; as for other conventional multi-stage charging methods, such as multi-stage constant-current charging (Mult i-Step) or multi-stage pulsed current (M u 11 i-Step P u 1 sing) charging, although it has a relatively constant current / Constant voltage charging has high charging efficiency, but it can be selected during charging

17030.ptd Page 6 CG1491 583408 The five-choice stage can be extended in this way. (2) Charging song 0 — ^^ Brother Ding W Bing, Ye Di Di Chu Shou Ma and this value will increase with the number In addition to its electrochemical characteristics, the degree of charge is also increasing, which will often reach the spectrum of hundreds of thousands of groups. The complexity of battery manufacturing can be tested before the battery leaves the factory. The process not only consumes a lot of manpower, but it is marked by two ......... In addition, 'the number of + line combinations is extremely amazing for the charger manufacturer, and this value will add to its electrochemical properties'. Charging will often reach hundreds of thousands of groups, and the battery system is complicated

The general manager contains Γ Brt. Same root ★ T indicates that the battery will not only consume a lot of manpower and materials, but also unable to perform this test; ;; Electrical power, electric curve, due to the effect of optimized control; therefore, it can be personalized, and it is difficult to compare the charging life of the battery after charging with the battery life. Its most effective charging method is best. / Constant voltage charging method is better, but? As the number of battery types increases, it is difficult to find a suitable charging curve by fast searching. ^ Battery manufacturing formula greatly changes the efficiency of the method. Big discounts know the potential = more complicated, leading to the multi-stage charge; ^ Therefore, how to build: difficult to meet the needs. Charging method, and apply it to ^, pool optimal charging curve search settings; battery manufacturers and charging stage to improve the search; i: f and some improvements, Maishang can be used for the same type of battery: Rate and Use Shouguan [Summary of the Invention] Decided subject. πYou are related. Therefore, one of the goals of the AI-powered battery charging month of the present invention is in tantalum: 锸 丁 锸 本 发; ::: equipment and methods. + 4 α method to effectively improve the charging efficiency of i-supplier—the battery's optimal charging curve.

583408 V. Description of the invention (3) Another object of the present invention is to provide a device and method for searching for the optimal charging curve of a battery, so as to effectively improve the service life of the battery. In order to achieve the foregoing and other objectives, the battery optimum charging curve search device provided by the present invention is a programmable battery charge-discharge module, including: a charging unit, a discharging unit, and a charging unit and a charging unit respectively. A central processing unit connected to the discharge unit. The central processing unit can execute a combinatorial optimization problem (Combinatorial Optimization P rob 1 em) search rule, and the programmable battery charge and discharge module can be connected to a rechargeable battery. Group to calculate the combined optimization search problem by the central processing unit, input a stylized charging curve into the charging unit, and perform a multi-stage charging of the rechargeable battery pack according to the charging curve . The method for searching the battery optimal charging curve provided by the present invention includes: inputting a stylized combined optimization problem search rule into a charging unit, and setting the search target of the search rule to the capacity of the battery after charging Maximize; charge a battery pack in a multi-stage charging mode, and measure the charging capacity of the battery pack after charging is completed; repeat multiple multi-stage charging of the battery pack, and measure after each charge The battery pack capacity is combined with the combined optimization search algorithm to determine the charging curve for the next multi-stage charging of the battery pack; when the multi-stage charging has been performed, the charging result has reached a preset charging When the optimal target is reached, the search can be suspended, and the charging curve used by the most batteries in the battery pack at the time of charging is the optimal charging curve for the multi-stage charging. By using the foregoing battery optimal charging curve searching device and method,

17030. ptd Page 8 Π01493 583408 V. Description of the invention (4) The manufacturer can pre-enter the device with a stylized combinatorial optimization problem search method before the battery leaves the factory, so that the The charging curve is searched, and the mathematical principle of rapid search is used to search for the most suitable charging curve with the highest charging efficiency, which solves the problem that it requires a lot of manpower and material resources to test in practice; it can be applied to the invention for rapid Combined optimization problem search rules for optimized search include Ant Colony System Algorithm (Ev ο 1 uti ο n S trategies), Genetic Algorithms (Genetic Algorithms), Search methods such as Neutral Networks and Simulated Annealing. In addition, any conventional multi-stage combined charging method can use the present invention for search testing, including multi-stage constant current charging, multi-stage Pulse current charging, multi-stage constant current / constant voltage charging, etc. The present invention tests to find its individual optimal charging curve. In summary, the present invention can mark the optimal charging curve obtained on the battery before the battery leaves the factory, or provide the search result to the charger manufacturer to load the charger and set the Optimal charging curve. In this way, it can quickly obtain the optimal charging curve without delaying the time to market, and can effectively improve the battery charging efficiency and service life, which fully meets the needs of users. [Embodiment] The battery optimal charging curve searching device 1 proposed by the present invention is shown in Fig. 1. Its basic configuration diagram is a programmable battery charge-discharge module 10 'and is composed of a plurality of batteries. The test battery pack 20 is connected to

17030. ptd Page 9 C01494 '583408 V. Description of the invention (5) A stylized multi-stage charging and discharging, wherein the programmable charge and discharge module 10 series includes a central processing unit 11, a charging unit 12 and a discharging unit 13. The central processing unit 11 includes at least a computing unit and a measuring unit (not shown), wherein the computing unit can program a stylized charging curve (that is, multi-stage charging charging parameters) Enter the charging unit 12 so that the charging unit 12 performs multi-stage charging on the plurality of batteries in the test battery pack 20 according to the charging curve, and the measurement unit of the central processing unit can be charged after charging. According to the discharge results of the discharge unit 13, individually measure the charged capacity of the individual batteries in the test battery pack 20 and input them to the calculation unit of the central processing unit to calculate the new value of the next multi-stage charge. The charging curve is further inputted into the charging unit 12 by the stylized new charging curve to repeat the foregoing charging test until an acceptable optimal charging curve is obtained. FIG. 2 is a schematic diagram of a conventional five-phase constant current charging method. A preferred embodiment of the present invention adopts this charging method as an example of obtaining an optimal battery charging curve (optimal charging current combination). Of course, the present invention The proposed method can also be applied to the conventional multi-phase pulse current charging or multi-phase constant current / constant voltage charging methods, and the optimal charging curve can also be obtained; as shown in Figure 2, we can first target the five phases. Charging sets a charging current separately, and the set current value will decrease with the increase of the number of stages. This design is based on the conventional multi-stage constant current charging principle: when the voltage of each stage reaches the voltage of the rechargeable battery When the voltage is at the upper limit, the charging current value is reduced to a preset value and the next stage of charging is performed to prevent the battery terminal voltage from being too high and causing damage to the battery. As can be seen from the figure, each stage

17030. ptd Page 10 001495 583408 5. The charging time end of the description of the invention (6) depends on the current value set at this stage. Therefore, the optimal battery charging curve sought by the present invention is the one that enables the final charging The five-stage current combination with the best efficiency. In addition, in order to meet the fast charging requirements on actual charging, taking this embodiment as an example, the total time of the five-stage charging needs to be limited before the test to obtain the setting. The five-phase constant-current charging curve that can reach the highest charging efficiency in time; Table 1 shows the charging current values that can be selected in the five-phase charging used in this embodiment. The unit of each current value is the value of the rechargeable battery. The corresponding charging current value of the nominal capacity (Rated Capaci ty). This current selection combination takes into account the upper voltage limit (about 4 · 丨 to 4 · 2V) of the lithium battery for the mobile phone used in this embodiment and the set 30 minutes. Depending on the total charging time, the five-stage combination has a total of 1 71,0 7 2 (1 2x 1 2x 1 2x 1 lx 9) charging curves, and the optimal charging curve required by the present invention is a charging curve. Under the limitation of the battery's upper voltage limit, the charging curve that can reach the maximum charging capacity in 30 minutes of charging is the most suitable current combination in this multi-stage constant current charging. For the aforementioned 171,072 charging curve combinations, if the characteristics of multi-phase constant current charging are used, the current value of each stage of charging must be less than the current value of the previous stage to avoid the battery voltage exceeding its upper voltage limit, so it can actually be The combinations suitable for this five-phase constant-current charging should be slightly less than the 1.7, 0, 7 groups, but this is still a very large number. It is not possible for battery manufacturers to test this large number of current combinations one by one before leaving the factory. The method for searching the battery optimal charging curve proposed by the present invention can be applied to this search process, so that the optimal charging curve among the large number of combinations can be quickly obtained; the method proposed by the present invention uses an already applied combination optimization Question (Combinatorial

17030.ptd page 11

00149G 583408 V. Description of the invention (7) 0 pti in izati ο η P r 〇b 1 e Π1), in order to quickly find the optimal solution of the charging curve, this type of search law has been developed in the field of artificial intelligence. Shi 'this preferred embodiment will use the Ant Colony System Algorithm proposed in the last ten years to solve this problem. Figures 3A to 3D are the development principles of this search rule, which is based on the natural world. The ant's foraging principle is designed, because ants will leave a chemical substance called pheromone (Pheromone) on the path they pass when they are foraging, and the nature of ants will be The probability that each ant follows the previous ant is proportional to the amount of pheromone left by the previous ant, that is, the more pheromone the more ants choose the path, and the next code ant The probability of choosing this path will also be greater. As shown in the figure, when an obstacle is placed between the ant's hole and the food, initially the ant will choose the same probability of walking at both ends of the obstacle (M'N point), but because Select short end (team ) The walking ants will reach the food faster, so the number of ants and the remaining pheromone in the short-end path in a unit time will be the longer-end path so that most subsequent ants follow the phero Meng chose the short-end road coop. If the time is long enough, eventually all ants will follow the pheromone on the full path as shown in Figure 31): by road ... outside; Ί 二) _, this natural phenomenon τ inch is the shortest foraging path. The moth is based on this self-branner # ^ 'ant search method, so that the virtual ant colony μ 仏 β ^ ^ stamps the movement of the phosphorus group (Fitness Valu ^, \ ^, a preset optimal The shortest path that the value is looking for, ~ the best estimate of the appropriate value is used to simulate the real time when the group sees food, and the value can be searched according to the target of the search rule

Page 12 1497 583408 V. Description of the invention (8) The 'simulation method of this search rule consists in establishing a probability profile of a virtual pheromone' whose probability value will be updated with the update of a virtual pheromone function ', Taking the probability that the virtual ant colony chooses the path, the path selection, rate function assumes that the number of virtual pheromone on each path is directly proportional to the number of virtual ants that select the path =, so at each specific time point The probability of each path t being selected will be proportional to the total number of pseudo ants that have passed this path from the beginning to this point in time. This is the design principle of the search rule. Among them, ^ determines the path selection probability of the virtual ant colony. The function system is as follows: Σ i ^ (N)) a W t N remaining searches in the corner stage y in the search (loan function of path (i, j)), and α is the table = virtual fee updated after finding The probability of the sacrifice choice is as follows: = More than the other-the path, then it will be updated every time "完成 ίxi" is completed; this path selection probability function will be updated after it is searched. This is because in this simulation search: 1 After the search, the pheromone function r⑴ will be set to more Update its rules based human pheromones is as follows:

Tij (N + l) Ρτυ (^) + ΣΑ ^ k ^ l

Π030. Ptd

001498 583408 5. Description of the invention (9) Among them, P is a parameter, so that (Bu P) represents the evaporation ratio of pheromones, and △ 剣 is the kth ant in the Nth search in the path (i , J) The amount of pheromone remaining, its value can be expressed as: Once the Kth ant passes the path

Lk 〇f, y) 4 = '0 Others, where L represents the optimal value of the kth ant, which is used to simulate the length of the path searched by the kth real sacrifice, and Q is a preset parameter The aforementioned a, p, and Q parameter values can be set by the tester according to the actual situation that they want to simulate. In addition, in order to simulate the situation where the real ant colony has the largest amount of pheromone in the shortest path per unit time, we can perform Among the paths found by all virtual ants in the Nth search, an additional virtual pheromone is added to a shortest path, so that the path can be more easily selected by the ant colony in subsequent searches to simulate real ants. The search characteristics of the group. The virtual pheromone increase rule of the optimal path is shown below. Among them, assuming that the first sacrifice path in the Nth search is the shortest one in the search, the shortest path is The amount of residual pheromone will be increased by an additional amount: nit)

17030.ptd Page 14 001499 583408 V. Description of the Invention (ίο) F (I 丨) is the value of the first fitness function, Q is the length of the path with the previous place, brother, that is, its most group search Food characteristics, when this species ^ head 5 number, so, as the real ants virtual ant colony choose the better path two = ^ = more search times, the higher, this-at most U = group of all sacrificial groups The ratio will also be improved, and the search path chosen theoretically = 4 is-the approximate optimal path. The ant colony will choose the same maximum: Test: When the number of equations is extremely large, when all virtual problems are solved, if the old, |仏 The average time cost of a virtual ant colony that uses this search rule in practice, you only need to end the test when-a certain number is A too a rhyme, choose the same path, the path solution two, ^, approximate Li-Jia Solution (Near-Optimum Solution), and the test conditions for judging whether or not the test can be ended can be determined in advance by the tester. Fan Er; we can simulate the optimal charging problem of the five-stage charging of the battery in this embodiment. The α-finding code ant search rule is simulated as follows. The optimization problem is limited by the amount of capacity. ^ Charge & gt Chi IC telegram, the most moderate

-[I 12 13 14 15] If i < j, i, j = 1 ··· 5 it # & — You can set other charging parameters before optimizing the search. Example

ooiCf Page 15 583408 V. Description of the invention ⑴) If the test contains ten free notes: the number of pools, the total time of five stages of charging, the test conditions for suspension, etc., this = handsome postal example is for 15 mobile phone clocks The battery is tested, and the spleen # ^ = The total charging time is set to 30 minutes, and the test shown in Figure 1 = the five-phase constant current charging method shown in Figures 1 and 2 is tested, ^ Fine! The figure shows the design principle of this test. 15 virtual ants (that is to say) g. A charged lithium battery will start from the starting nest and randomly select the charge current value indicated by the kilogram. When performing a five-stage thunder cooling meter: The test system will be based on the charging path selected by each virtual ant. ①_II. This Lomon function and establish its path selection probability function as a reference for its time-consuming virtual ant to select the charging path. Repeatedly update the test probability function and Repeat the test until the 5 virtual ants $ 'each t, the ratio (that is, the pre-set stop test conditions) are selected with the same ram, then the charging path is an approximately optimal charge The electric power path f is the optimal charging 2 combination for this type of test battery under this charging condition. The embodiment is set when 60% of the virtual ants find the same path% line. This beam test, that is, when 1 5 Nine of the test batteries are phased out and the test is suspended during the charging of the junction curve; the method of the charging embodiment will be further described below. The fifth diagram of the present invention shows the actual test equipment used in this embodiment, and the layout diagram shown in FIG. 1 is extended. Among them, an MC β battery life tester developed by the company The electricity used in the test is 17 r 0 de public power and discharge. In this embodiment, 15 lithium-based batteries are charged at the same time. After each five-stage charge test is completed, the result of this test is recorded.

583408 V. Description of the invention (12) The calculation of the ant search rule by an external computer is used to update the pheromone function r (N) and path selection probability function p (N) of the next five-stage charging according to the charging result. Repeat this stylized path selection result (charging curve) into this Bitróde MCN tester, and repeat the five-stage charging test until an acceptable charging curve is obtained; as shown in Figure 6 The flowchart is the test process for ant search in this embodiment. In step S 10, 15 lithium-based batteries to be charged are tested first. The test items include acceptable open circuit voltage (0CV), impedance value, Nominal capacity value, weight, etc. The test results are listed in Table 2. You can set the charging parameters such as the battery's upper voltage limit and the unit charge current C value according to this result. Step S1 5 will set the code ant search rule. The parameters set in this embodiment are the number of charging stages = 5, and the current value that can be selected is shown in Table 1 above. As for the parameters of the search rule, they are set to a = 1. 0, ρ = 〇 7. Q =; After the setting is completed, the process proceeds to step S20, and the 15 lithium-based batteries are charged at multiple stages of constant current, which is charged by the Bi trode MCN tester according to the programmed charging curve, and then charged. After the completion, a small current was used to record the charging capacity of each clock series battery according to the discharge result. Among them, since the first test fashion did not generate a virtual pheromone function, its charging curve was programmed by a program The random selection is determined by the selected current value according to the selectable current values listed in Table 1. However, the random selection action should still be limited by the charging current value in each stage being less than the current value in the previous stage. This limit function can be borrowed Programmatic design and execution; Step S 2 5 is to evaluate the optimal value. The optimal value is set to the capacity of the lithium battery after charging. The search setting of this search rule is to obtain a value that maximizes the optimal value. Charge

17030 · ptd Page 17 C01502 '583408 V. Description of the invention (13) Curve, step S 2 5 will evaluate the optimal value based on the battery charge capacity recorded in step S 2 0 and calculate it in step 30; step 3 0 will update the virtual pheromone function according to the evaluation of the optimal value of step 25. The calculation method is the same as the previous mathematical model. The result of this update will determine the selection of the 15 virtual ants in the next test in step S35. The probability function of the path of the charging path is selected, and new charging curves will be established for the 15 lithium-based batteries according to the new probability function. Step S 40 adds 1 to the number of tests recorded in the program, and then The discriminating block in step S45 determines whether to suspend the test. This discriminating block is determined by the abort test condition set in advance. In this embodiment, the abort test condition is set when 60% of the virtual ants find the same path. That is, when 9 lithium-based batteries are charged with the same charging curve, the test is suspended, and if the result of step S 3 5 does not meet the suspension test conditions, the process returns to step In step S20, a new charging curve is used to recharge the 15 batteries until a near optimal charging curve is found. The results listed in Table 3 are the charging test results of this example. From the data listed in the table, it can be found that when the number of searches of the ant-type search rule increases, the charging efficiency of each battery does indeed increase, reaching within 30 minutes. The number of batteries with a charging capacity of more than 70% obviously increases with the increase in the number of tests. The results also show that this embodiment will reach the preset test termination conditions at the 20th test: at least 9 lithium The batteries are tested with the same charging curve. The charging curves used in the fifth stage of charging during the 20th test are listed in Table 4. The numbers 1, 2, 4, 5, 6, 7, 8, 10 11 lithium batteries of No. 13, 13, 4, 15 have the same charging curve, that is, there are

17030. ptd page 18 001503 583408 V. Description of the invention (14) 1 1 2 Virtual: All the ants have searched for the same charging path, and the result has reached the preset termination test conditions, and the majority chooses The service curve can be regarded as the approximate optimal charging curve under this charging condition. According to the data of ", the charging curve is a five-phase fixed electricity display in the order of 21c, 17C, 1β5 ^ 4, 31, etc. Reaching a charging capacity of more than 70% in 30 minutes, which is consistent with the charging efficiency of a well-known lithium-based battery for mobile phones. For lithium-based batteries, the maximum capacity that can be reached in 30 minutes The value is approximately equal to about 70% of the nominal capacity. ~ 'Figures 7 and 8 are data compilations of the test results of this example. It is obvious that the charging capacity of the 15 test batteries gradually increases regardless of the increase, and the The standard deviation of the charging capacity shown in Figure 8 will gradually decrease as the trend of the number of tests matches the code ant search rule = addition. The two pheromone functions are updated, and each virtual is also equal to the probability Will gradually increase, and among different virtual ants: The probability of the electric path of the best charging path will also increase. This trend is exactly the difference between the capacity of the battery after charging and the standard deviation of a better battery. =: This is reflected in the 15 The capacity value will gradually decrease, and the service life will also be ρ after charging.-Rechargeable In order to verify the effectiveness of this embodiment, it can be reduced gradually. Therefore, after the charging curve, the charging curve has as much pb A comparison of high-charging efficiency / constant-voltage charging methods is performed to verify the effect of "charging and known constant-current life. Figure g shows the comparison results of the two methods compared to the jealousy method for battery use. versus

17030. ptd Page 19 504 583408 V. Description of the invention (15) The comparison of the charging curve obtained in this example is a constant current / constant voltage charging method with a constant current 2 · 丨 c. The test method used is After every 20 charging cycles, the battery is charged at a constant current of C / 3 for 30 minutes and its capacity value is measured. The measured capacity is the percentage of the capacity after the first charge as its capacity. Marking unit, as shown in the figure, it can be found that the battery after charging through the charging curve obtained in this embodiment has a longer service life than the conventional battery with constant current / constant voltage. If the capacity is reduced to the original charging capacity after charging, : 80% is the comparison benchmark. It can be found that the charging method of this embodiment still has 80% of the capacity when the charging cycle reaches 9 2 7; otherwise, the conventional method has reduced the capacity to 80 after only charging 6 6 6 times. %, Which proves that the charging curve disc obtained in this embodiment can make the battery life decay more slowly. For some areas of battery use that require full charge (Fully Charged), a simulation test can also be used to verify the effectiveness of this embodiment. , Figure 10 This is the result of this test, which is the same as the test / type conditions in Figure 9, but it is no longer changed to charge with a small current every 20 cycles, but is charged and measured and compared according to the setting method in each cycle '* It can be seen from the figure that the battery life of the charging method proposed in this embodiment is still longer than the battery ^ battery & and it can also be found that the charging party in this embodiment still has 8 when the charging cycle reaches 3 7 7. The capacity of% is much higher than the conventional method that the capacity drops to 80% after 300 times of electricity. Compared with this, compared with the food technology, the device and method for searching the battery's most suitable charging curve according to the present invention 'does have the effect of effectively improving the charging efficiency and service life of the battery. The battery manufacturer can then use this device and related combined optimization problems. The search rule (such as the ant-type search rule of this embodiment) searches for the charging curve of Xiaosha b, and charges the obtained optimal charge before it is cheap.

583408 Fifth, the invention description curve mark quotient, according to the loading line, so the market time, according to the user, but only by the method used to limit the disclosure of other related search rules, the patent (16) can be charged into the battery, either According to some requirements, the God and the original programmable pair of the present invention are most suitable for use in the range. The search results can also be provided to the charger maker and set the optimal charging curve for different types of batteries to quickly find the optimal charging curve. It will not delay the product's effectiveness and improve the battery charging efficiency and service life. Those that fully meet the requirements are only specific embodiments of the present invention and are not in scope. All equivalents done by those skilled in the art under the present invention are equivalent. Changes or modifications, such as the use of chemical charging and discharging equipment, the search of other combined optimization charging curves, or other various multi-stage charging methods mentioned in the present invention, should still be covered later.

17030. ptdr01506 Page 21 583408 V. Description of the invention (17) Table 1: Selectable charging current stage (C) 1 2.5 2.4 2.3 2.2 2Λ 2 · 0 1.9 1.8 1.7 1.6 1 · 5 1.4 2 2.2 2.1 2.0 1.9 1.8 1.7 1.6 1.5 1.4 1.3 1,2 1.1 3 1.9 1-8 1.7 1.6 1-5 1.4 1.3 1.2 1.1 1.0 0.9 0.8 4 1.6 1.5 1.4 1.3 1.2 1.1 1.0 0.9 0.8 0.7 0.6-5 1.3 1.2 1.1 1.0 0 · 9 0.8 0.7 0.6 0 · 5 雠-Table 2: Test results for rechargeable batteries: Maximum 値 Minimum 値 Average 値 Weight (g) 29.95 29.47 29.80 Open circuit voltage (ν) 4.17 4.13 4.15 Impedance 値 (ιηΩ) 113.6 89.4 94 · 21 Nominal capacity (mAh) 938 918 930 _ Round 11 17030. ptd Page 22 507 583408 V. Description of the invention (18) -is -1 I 73% 68% 73¼ 71yLll73% 6IOO% 71% 71% 66% 6100% by jifulyA ϋ ry / Λ 6 窆 ii 3m 71%-70%-70%-74¼-71% 7ΓΑ 71% 71% 69% 66% 60% 89 蜃 1071 69% 73% 70 % .70% la% 66% 71% 71% 69% 72% β 68% 7ny '' 72% 6100% 71% 70% 69% 7Q% 66% 71% 70% ¾¾ 蜃 e I 66¼-71% 61% 70 % I 70% 6lvoy 66% 70% 69% βIsy. Support 7 69% 61% 67% lsi% 69% Support 6 67% 65% 1 69% 1 67% 1 54% i5 67% 67% 1 68% 1 47% 1 70% US 4 59% 65% 64% 64 % 66% 600% 68% 63% 蜃 2 70% 1 66% 1 66%-68%-67% Carry 69% 67% I Zhou Chu I 112 68% 6ΓΛ 67% 70% 69% 68% 64% 70 % 71% 67% 65% 64% 7QSI sl >-66% 66% 64% 1 62% I 66% I 66% 1 < 52% 6y / _69% 7Q% 67% 64% 66% 59% 65% 69% 68% 65% 67% I 66% 1 i 70% 63% I 37% 1 63%-36%-66% I 60% 60% 60% 66% 5 65% 66% 67% 11 I 11¾¼ 9 10 11 12 »Ξ: Potential Yi mold one to support outside-Shicong smb 69% 69%

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I 65% 57% 64% 66% 15 1011 17030. Ptd C: -5〇8 Page 23 583408 V. Description of the invention (19) Table 4: Charging curve used by each lithium battery in the 20th test

Lithium-based battery numbering Phase 1 Phase 2 Phase 3 Phase 4 Phase 5 1 2.1C 1.7C 1.5C 1.3C 1C 2 2.1C 1.7C 1.5C 1.3C 1C 3 2C 1.4C 1.2C 1C 0.8C 4 2.1C 1.7C 1.5C 1.3C 1C 5 2.1C 1.7C 1.5C 1.3C 1C 6 2.1C 1.7C 1.5C 1.3C 1C 7 2.1C 1.7C 1.5C 1.3C 1C 8 2.1C 1.7C 1.5C 1.3C 1C 9 2.1C 1.6C 1.5C 1.3C 1C 10 2.1C 1.7C 1.5C 1.3C 1C 11 2.5C 1.8C 1.4C 1.3C 1C 12 1.7C 1.6C 1.5C 1.3C 1C 13 2.1C 1.7C 1.5C 1.3C 1C 14 2.1C 1.7C 1.5C 1.3C 1C 15 2.1C 1.7C 1.5C 1.3C 1C linn Page 24 17030.ptd 583408 Simple illustration of the drawing [Simplified illustration of the drawing] Fig. 1 is the configuration diagram of the battery optimal charging curve searching device of the present invention; Fig. 2 It is a schematic diagram of a conventional five-phase constant-current charging method; Figures 3A to 3D are not intended to be the development principle of the ant search rule used in the embodiment of the present invention, and Figure 4 is a schematic diagram of the design principle of the embodiment of the present invention; FIG. 5 is a schematic diagram of a search device used in an embodiment of the present invention; FIG. 6 is a flowchart of a search method used in an embodiment of the present invention; and FIG. 7 is a flowchart of a test process of an embodiment of the present invention Trend chart of battery charging capacity, FIG. 8 is a trend chart of standard deviation of battery charging capacity during the test process of the embodiment of the present invention; and FIG. 9 is a comparison chart of the service life of the battery charged with the result of the embodiment of the present invention and the conventional technology; And FIG. 10 is another comparison diagram of the service life of the battery charged with the result of the embodiment of the present invention and the conventional technology. I Battery Optimal Charging Curve Search Device 10 Programmable Charge and Discharge Module II Central Processing Unit 12 Charging Unit 1 3 Discharging Unit 2 0 Test Battery Pack

17030.ptd page 25 001510

Claims (1)

583408 6. Scope of patent application 1 · A battery optimal charging curve search device is used to search the optimal charging curve of a set of multi-stage charging parameters of each stage, so that the battery after multi-stage charging according to the optimal charging curve has close to The largest charging capacity, the search device includes: a battery test section, which can charge multiple batteries in multiple stages and measure the charging capacity of each battery after charging; and an arithmetic processing section, which can be used according to the best combination Search method for Combinatorial Optimization Problem 丨], before obtaining the optimal charging curve, continuously receive from the battery test section the measured charging capacity of each battery after the previous charge, so as to The measured charging capacity determines the charging curve of the next charging of each battery, and provides the next charging curve of each battery to the battery testing section. 2 · For the battery optimal charging curve search device in the first scope of the patent application, where the search rule applicable to the combination optimization problem is the Ant Colony System Algorithm. 3 — A battery optimal charging curve search device, which is used to search the optimal charging curve for a set of charging parameters of each stage of multi-stage charging, so that the battery after multi-stage charging according to the optimal charging curve has a maximum charging capacity, The search equipment includes: a battery test section, which can charge a plurality of batteries in multiple stages and measure the charging capacity of each battery after charging; and a calculation processing section, which is based on the Ant Colony System Algorithm Until you get the optimal charging curve, keep 17030.ptd Page 26 001511 583408 6. The scope of the patent application From the capacity of the battery, the number of times each battery is charged 4. If you apply for a special equipment, test device 5. If you apply for a special one, the electric person. 6. If you apply for special equipment, you should use a signal to connect. 7. If you apply for a specialized equipment, it is the multi-level. 8. If you apply for a specialized equipment, recharge and search again. 9. If you apply for a specialized equipment, and nickel-plated electricity. 0. —A kind of battery test department receives the measurement charge of each battery after the previous charge. The measured charge capacity of each battery after the previous charge depends on the charge curve of the next charge, and provides the next charge curve of each battery to the Battery test department. The optimum charging curve of the battery in item 1 or item 3 of the profit range is searched. Among them, the battery test section is a programmable battery, and the arithmetic processing section is a computer. The battery optimum charging curve searching device of the fourth item of the profit range, the battery test device is a battery optimum charging curve searching device of the fourth item of the battery charge range, and the battery is the range of the battery optimal charging curve. The battery test device and the computer are independent and in between. The wiring is connected. The optimum charging curve of the battery in item 1 or item 3 of the profit range is searched. Among them, the charging parameters of each stage of the multi-stage charging are the charging current of each stage of the charging. The optimum charging curve of the battery in item 1 or 3 of the profit range is searched. The calculation processing unit ends the same charging curve as the optimum when the determined charging curve of each battery is the same. Charging curve. The optimum charging curve of the battery in item 1 or item 3 of the profit range is searched. Among them, the battery is selected from one of the group consisting of a lithium battery and a nickel-metal hydride battery. Search method for optimal charging curve 17030. ptd Page 27 001512 583408 VI. The optimal charging curve of the charging parameters at each stage of the patent application phase, so that the battery after multi-stage charging according to the optimal charging curve has a maximum charging capacity, including the following steps: (1) Perform multiple multi-stage charging of multiple batteries and measure the charging capacity of each battery after charging. The first charging is based on the initial charging curve of each battery, and the following steps are followed after the second charging ( 2) The charging curve of each battery determined in the next charge; (2) According to the search rule applicable to the Combined Optimization Problem (Combinatorial Optimization Problem), determine from the measured charging capacity of each battery after the previous charge The charging curve of each battery on the next charge; and (3) repeating the above steps (1) and (2) after discharging each battery until the charging curve of each battery determined in step (2) has When a certain ratio is the same, the search is ended, and the same charging curve is used as the optimal charging curve. 1 1 ^ Search method for battery optimal charging curve in the scope of application for patent No. 丨 0 ′ Among them, the search rule applicable to the combination optimization problem is the Ant Colony System Algorithm. 1 2 · A method for searching the optimal charging curve of a battery, which is used to search the optimal charging curve for a set of charging parameters of each stage of multi-stage charging, so that the battery after multi-stage charging according to the optimal charging curve has a maximum charging capacity, The system includes the following steps: (1) Performing multiple multi-stage charging on multiple batteries and measuring the charging capacity of each battery after charging, wherein the first charging is based on each battery. 583408 VI. The initial charging curve of the patent application pool. After the second charging, follow the steps below (2: the charging curve of each battery determined in the next charging; (2) According to the Ant Colony System (Ant Colony System A 1 gorithm), determine the charging curve of each battery for the next charge from the measured charging capacity of each battery after the previous charge; and (3) repeat the above steps (1) and (2) after discharging each battery until step When all the batteries determined in (2) have the same proportion in the charging curve for the next charge, the search ends, and the same charging curve is used as the optimal charging curve. 1 3. As the scope of patent application No. 10 Item or item 12 of the battery optimal charging curve search method, wherein the charging parameters of each stage of the multi-stage charging is the charging current of each stage of the multi-stage charging. 1. 4 if the scope of the patent application is 10 Or the search method of the battery optimal charging curve of item 12, wherein the initial charging curve of each battery is randomly generated. 1 5. If the scope of the patent application is No. 10 or The method for searching for the optimal charging curve of a battery according to item 12, wherein the battery is selected from one of a group consisting of a lithium-based battery, a nickel-metal hydride battery, and a nickel-cadmium battery. Page 29 17030.ptd 001514