WO2015012144A1 - 電池二次利用管理システム、電池二次利用管理装置および電池二次利用管理方法 - Google Patents
電池二次利用管理システム、電池二次利用管理装置および電池二次利用管理方法 Download PDFInfo
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
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- B60L2240/00—Control parameters of input or output; Target parameters
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Definitions
- the present invention relates to a battery secondary usage management system that manages secondary usage destinations of a battery using information on the battery in use.
- This application is based on the priority based on Japanese Patent Application No. 2013-154388 filed on July 25, 2013 and the Japanese Patent Application No. 2013-208882 filed on October 4, 2013.
- the contents described in the above application are incorporated into this application by reference and made a part of the description of this application.
- the problem to be solved by the present invention is to provide a secondary battery usage management system that can shorten the period of storage as a stock when secondary batteries are used.
- the present invention predicts the use end time of the battery in use based on the deterioration estimation information of the battery in use, and determines the secondary usage destination of the battery in use based on the predicted use end time.
- the above-mentioned problem is solved by determining in advance before the end of use.
- the use end time of the battery in use is predicted, and the secondary usage destination of the battery in use is determined in advance before the use end based on the predicted use end time. It is possible to appropriately determine the secondary usage destination as the secondary usage destination of the secondary battery before the end of use, thereby shortening the storage period as a stock when the secondary usage of the battery is performed. It becomes possible.
- FIG. 1 is a block configuration diagram of a battery secondary usage management system according to the present embodiment.
- the battery secondary usage management system of this embodiment includes a battery secondary usage management server 100, an in-vehicle battery management server 200, and a stationary battery management server 300.
- the in-vehicle battery management server 200 is a server for managing in-vehicle batteries mounted on a plurality of vehicles 20 having in-vehicle batteries, and is mounted on each vehicle 20 by communicating with each vehicle 20.
- the progress of deterioration of the in-vehicle battery is estimated, and the end-of-use time of the in-vehicle battery is predicted for each vehicle 20 based on the estimated information on the progress of deterioration. Then, the predicted information on the use end time of the in-vehicle battery of each vehicle 20 is transmitted to the battery secondary usage management server 100.
- the vehicle 20 may be a vehicle equipped with an in-vehicle battery, and examples thereof include an electric vehicle and a hybrid vehicle.
- the stationary battery management server 300 is a server for managing stationary batteries installed in a plurality of stationary facilities 30 equipped with stationary batteries, and communicates with each stationary facility 30 so that each stationary facility 30
- the deterioration information of the stationary battery installed is calculated, and the replacement time of the stationary battery is predicted for each stationary facility 30 based on the calculated deterioration information. Then, information on the predicted replacement time of the stationary battery is transmitted to the battery secondary usage management server 100.
- FIG. 1 only three fixed facilities 30 are shown, but the number of fixed facilities 30 is not particularly limited.
- the battery for a peak shift provided in various facilities, the battery for a peak cut, etc. other than the battery for a house are mentioned.
- the in-vehicle battery management server 200 communicates with a target vehicle 20 (hereinafter referred to as “target vehicle 20”), and from the target vehicle 20, information on the degree of deterioration of the in-vehicle battery, and the vehicle.
- Get usage mode information As information on the degree of deterioration of the in-vehicle battery, for example, information on the current battery capacity (full charge capacity) with respect to the initial battery capacity (full charge capacity) calculated by a battery controller provided in the target vehicle 20 (for example, , Current battery capacity ratio information when the initial battery capacity is 100%).
- vehicle usage information include vehicle usage frequency, travel distance information within a predetermined period (for example, one week or one month), travel distance information per travel, and the like.
- the method for acquiring the information on the degree of deterioration of the in-vehicle battery and the information on the usage state of the vehicle from the target vehicle 20 is not particularly limited, and examples thereof include a method using various communication technologies such as telematic communication. It is done. Or it replaces with the method of using such a communication technique, and it is good also as an aspect which acquires such information via electronic system diagnostic testers, such as a consult.
- the in-vehicle battery management server 200 predicts the progress of the deterioration of the in-vehicle battery based on the information on the degree of deterioration of the in-vehicle battery of the target vehicle 20 acquired in step S101 and the information on the usage state of the vehicle. Specifically, a predetermined deterioration preset by the in-vehicle battery based on information on the usage mode of the vehicle, that is, on the frequency of use of the vehicle and information on the travel distance within a predetermined period (for example, one week or one month). Predict when it will be.
- the degree of progress of the deterioration degree of the in-vehicle battery with respect to the number of days is obtained in advance through experiments or the like and stored for each use frequency of the vehicle or each mileage within a predetermined period.
- a time when the in-vehicle device becomes a predetermined degree of deterioration set in advance is predicted.
- the target vehicle 20 is mainly used for long-distance movement or mainly for short-distance movement based on information on the travel distance per one run. And when it can be judged that it is mainly used for long-distance movement, for example, the time when the capacity becomes 85% of the initial capacity (the time when the deterioration degree is relatively low) On the other hand, if it can be determined that it is mainly used for short-distance movement, for example, the period when the capacity becomes 80% of the initial capacity (a period when the degree of deterioration is relatively high) is used. It can be the end time. In addition, when the use end time of the in-vehicle battery is determined in advance by a lease contract of the in-vehicle battery or car sharing, the use end time is set in advance.
- the in-vehicle battery management server 200 predicts the deterioration mode in the secondary usage destination when the in-vehicle battery mounted in the target vehicle 20 is used for secondary usage.
- the prediction of the deterioration mode in the secondary usage destination is performed based on, for example, the battery capacity of the in-vehicle battery, the degree of deterioration at the time when the use as the in-vehicle battery ends (use end time), and the like.
- the deterioration mode at the secondary usage destination is, for example, a progress from the start of secondary usage predicted from the deterioration rate (capacity reduction rate) of the in-vehicle battery at the predetermined secondary usage destination and the current deterioration level. Degree of deterioration according to the number of years.
- step S105 the in-vehicle battery management server 200 uses the information on the end-of-use time of the in-vehicle battery predicted in step S103 and the information on the deterioration mode in the secondary usage destination predicted in step S104 as the battery secondary usage management. Send to server 100. These pieces of information are used for processing for predetermining the secondary usage destination of the in-vehicle battery currently mounted on the target vehicle 20, as will be described later.
- the in-vehicle battery management server 200 executes a process of notifying the user of the target vehicle 20 of information on the end time of use predicted by the above-described process.
- a method for notifying information on the end time of use for example, a method of displaying the end time of use of the in-vehicle battery on a display of a navigation device provided in the target vehicle 20 can be cited.
- the user can appropriately grasp the replacement time of the in-vehicle battery, and can make the user appropriately prepare for replacement.
- the in-vehicle battery management server 200 requires the user to replace the in-vehicle battery when the end-of-use time of the in-vehicle battery is approaching or when the use end time of the in-vehicle battery has already come. A warning to the effect is given, and thereby the collection of the in-vehicle battery can be promoted, and the collection accuracy of the in-vehicle battery can be improved.
- the process for predicting the use end time of the in-vehicle battery mounted on the target vehicle 20 by the in-vehicle battery management server 200 is executed.
- the above process is repeatedly executed at predetermined intervals.
- the prediction accuracy of the time when the in-vehicle battery reaches a predetermined deterioration level and the end-of-use time of the in-vehicle battery is further increased. be able to.
- the in-vehicle battery management server 200 stores the predicted results of the time when the in-vehicle battery has a predetermined deterioration level and the replacement time of the in-vehicle battery each time, and uses the stored data to store the in-vehicle battery. It is set as the aspect which estimates the time when it becomes a predetermined
- the stationary battery management server 300 communicates with each stationary facility 30 and is executed by the stationary battery management server 300 in the following processing.
- a case where one specific stationary facility 30 among the plurality of stationary facilities 30 is targeted will be described as an example.
- the processing described below is the battery secondary usage management system according to the present embodiment. This is executed for all stationary facilities 30 constituting
- the stationary battery management server 300 transmits information on the degree of deterioration of the stationary battery provided in the target stationary facility 30 from the target stationary facility 30 (hereinafter referred to as “target stationary facility 30”). And the information of the usage mode of a stationary battery is acquired.
- the information on the degree of deterioration of the stationary battery for example, the current battery capacity (full charge capacity) relative to the initial battery capacity (full charge capacity) calculated by the management device of the power supply system provided in the target stationary facility 30.
- Information for example, information on the current battery capacity ratio when the initial battery capacity is 100%) and the like.
- information on the usage mode of the stationary battery information on an actual load amount of the stationary battery (for example, a load amount obtained from a temperature profile, a power profile, or the like) can be cited.
- the method for acquiring the information on the degree of deterioration of the stationary battery and the information on the usage state of the stationary battery from the target stationary facility 30 is not particularly limited. For example, a method of acquiring the information through the Internet line, the telephone line, or the like. Can be mentioned.
- the stationary battery management server 300 predicts the progress of the deterioration of the stationary battery based on the information on the degree of deterioration of the stationary battery of the target stationary facility 30 acquired in step S201 and the information on the usage state of the stationary battery. . Specifically, the time when the stationary battery becomes a predetermined deterioration level (deterioration degree at the time of replacement) is predicted from the information on the usage mode of the stationary battery, that is, the actual load amount of the stationary battery.
- the deterioration speed is predicted from the actual load amount of the stationary battery, for example, and the predicted deterioration speed and the current deterioration degree of the stationary battery are Can be predicted from.
- the predetermined degree of deterioration can be determined according to the amount of power required by the target stationary facility 30, for example.
- step S203 the stationary battery management server 300 predicts the replacement time of the stationary battery of the target stationary facility 30 based on the time when the stationary battery predicted in step S202 has a predetermined degree of deterioration.
- the time when the stationary battery predicted in step S202 becomes a predetermined deterioration level is set as the replacement time of the stationary battery.
- the stationary battery management server 300 transmits information on the replacement time of the stationary battery predicted in step S203 to the battery secondary usage management server 100.
- the stationary battery management server 300 uses the information on the required characteristics for the replaced stationary battery used in the target stationary facility 30 as the secondary battery management server.
- the required characteristic information includes necessary battery capacity information, usable years information, and the like. Then, as will be described later, these pieces of information are used in any of the plurality of vehicles 20 when replacing the currently used stationary battery with a new battery in the target stationary facility 30. It is used for the process of determining whether to receive the on-vehicle battery.
- the process of predicting the replacement time of the stationary battery installed in the target stationary facility 30 by the stationary battery management server 300 is executed.
- the above process is repeatedly executed at predetermined intervals.
- the stationary battery management server 300 stores the prediction result of the time when the stationary battery has a predetermined deterioration level and the replacement time of the stationary battery, and uses the stored data to store the stationary battery. It is set as the aspect which estimates the time when it becomes a predetermined
- the providing-side stationary battery management server 400 is a server for managing stationary batteries installed in a plurality of providing-side stationary facilities 40 including stationary batteries, and communicates with each providing-side stationary facility 40 by mutual communication.
- the deterioration information of the stationary battery installed in each providing-side stationary facility 40 is calculated, and the use end time of the stationary battery is predicted based on the calculated deterioration information and information on the usage state of the stationary battery.
- the stationary battery deterioration information calculation method can be the same as in the first embodiment described above, and the stationary battery use end time prediction method can be the replacement of the stationary battery in the first embodiment described above. It can be the same as the time prediction method.
- the secondary usage destination of the on-vehicle battery currently installed in each vehicle 20 is selected from the plurality of stationary facilities 30, The selected stationary facility 30 is determined to be a secondary usage destination of the on-vehicle battery.
- the battery secondary usage management system shown in FIG. 1 is currently installed in each vehicle 20. In the secondary use of the in-vehicle battery, it is determined whether or not it can be used in another vehicle 20, and when it can be used in another vehicle 20, the secondary use is performed in another vehicle 20. This is different from the first embodiment described above.
- step S405 the battery secondary usage management server 100 notifies the user belonging to the user category determined in step S404 that there is a secondary usable battery. Processing is executed.
- a method of notifying information that there is a battery that can be used secondarily for example, a method of transmitting such information to an in-vehicle device of a vehicle used by the corresponding user, or possessed by the corresponding user A method of transmitting such information to a mobile terminal such as a mobile phone or a smartphone can be mentioned.
- the battery secondary usage management server 100 includes the in-vehicle battery management server 200 and the providing-side stationary battery as the secondary usage destination determination unit, the use end timing acquisition unit, and the battery replacement timing information acquisition unit of the present invention.
- the management server 400 corresponds to the use end time prediction means and the notification means of the present invention
- the stationary battery management server 300 and the secondary usage side stationary battery management server 500 correspond to the battery replacement time prediction means of the present invention.
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Abstract
Description
本出願は、2013年7月25日に出願された日本国特許出願の特願2013-154388に基づく優先権、および2013年10月4日に出願された日本国特許出願の特願2013-208882に基づく優先権を主張するものであり、文献の参照による組み込みが認められる指定国については、上記の出願に記載された内容を参照により本出願に組み込み、本出願の記載の一部とする。
図1は、本実施形態に係る電池二次利用管理システムのブロック構成図である。図1に示すように、本実施形態の電池二次利用管理システムは、電池二次利用管理サーバ100と、車載電池管理サーバ200と、定置電池管理サーバ300とを備える。
次いで、本発明の第2実施形態について説明する。第2実施形態は、以下に説明する点において、上述した第1実施形態と異なる以外は、第1実施形態と同様の構成を備えるものであり、また、第1実施形態と同様の作用効果を奏するものである。
次いで、本発明の第3実施形態について説明する。第3実施形態は、以下に説明する点において、上述した第1実施形態と異なる以外は、第1実施形態と同様の構成を備えるものであり、また、第1実施形態と同様の作用効果を奏するものである。
<ユーザA>利用地域が、関東エリアであり、走行パターンは、一回の充電で100km走行が必要であり、高速走行が多い。また、車載電池の状況としては、劣化が進行し、ユーザAは不便を感じている。
<ユーザB>利用地域が、東北エリアであり、走行年数は5年、車載電池の残容量は80%でユーザBの車両では使用終了時期が到達している。
そして、このような状況において、ユーザBの車両の残容量80%の車載電池を使用して、関東エリアで、ユーザAの利用態様で利用した場合の電池寿命および出力性能の予測をした結果、残り寿命は3年であると判定。
200…車載電池管理サーバ
300…定置電池管理サーバ
400…提供側定置電池管理サーバ
500…二次利用側定置電池管理サーバ
Claims (18)
- 使用中の電池の情報を用いて、該電池の二次利用先を管理する電池二次利用管理システムであって、
使用中の電池の劣化推定情報を取得し、取得した劣化推定情報に基づいて、前記使用中の電池の使用終了時期を予測する使用終了時期予測手段と、
予測した使用終了時期に基づいて、前記使用中の電池の二次利用先を、使用終了前に予め決定する二次利用先決定手段とを備えることを特徴とする電池二次利用管理システム。 - 請求項1に記載の電池二次利用管理システムにおいて、
複数の二次利用先候補で使用されている電池の電池交換時期を予測する電池交換時期予測手段をさらに備え、
前記二次利用先決定手段は、前記使用終了時期予測手段で予測した使用中の電池の使用終了時期に加えて、前記電池交換時期予測手段で予測した複数の二次利用先候補の電池交換時期に基づいて、前記使用中の電池の二次利用先を決定することを特徴とする電池二次利用管理システム。 - 請求項2に記載の電池二次利用管理システムにおいて、
前記二次利用先決定手段は、前記電池交換時期予測手段で予測した複数の二次電池利用先候補の電池交換時期のうち、前記使用終了時期予測手段で予測した使用中の電池の使用終了時期に最も近い電池交換時期に対応する二次利用先候補を、前記使用中の二次電池利用先として決定することを特徴とする電池二次利用管理システム。 - 請求項2または3に記載の電池二次利用管理システムにおいて、
前記二次利用先決定手段は、前記複数の二次利用先候補で使用されている電池の劣化推定情報を取得し、取得した劣化推定情報に基づいて、前記複数の二次利用先候補の電池交換時期を予測することを特徴とする電池二次利用管理システム。 - 請求項1~4のいずれかに記載の電池二次利用管理システムにおいて、
前記使用終了時期予測手段は、前記使用中の電池の劣化推定情報と、前記使用中の電池の使用態様とに基づいて、前記電池の使用終了時期を予測することを特徴とする電池二次利用管理システム。 - 請求項1~5のいずれかに記載の電池二次利用管理システムにおいて、
前記使用終了時期予測手段により予測した前記使用中の電池の使用終了時期を、前記使用中の電池の利用者または前記使用中の電池を搭載しているシステムに通知する通知手段をさらに備えることを特徴とする電池二次利用管理システム。 - 請求項1~6のいずれかに記載の電池二次利用管理システムにおいて、
前記使用終了時期予測手段は、前記使用中の電池の使用終了時期が予め決まっている場合には、予め決まっている使用終了時期を、前記使用中の電池の使用終了時期として予測することを特徴とする電池二次利用管理システム。 - 請求項1~7のいずれかに記載の電池二次利用管理システムにおいて、
前記使用中の電池が、車載電池であり、前記二次利用先が、定置電源システムであることを特徴とする電池二次利用管理システム。 - 請求項8に記載の電池二次利用管理システムにおいて、
前記使用終了時期予測手段は、前記使用中の電池の劣化推定情報に基づいて、前記使用中の電池の電池容量が、初期の電池容量に対して80%となる時期を算出し、算出した時期を使用終了時期として予測することを特徴とする電池二次利用管理システム。 - 請求項1~7のいずれかに記載の電池二次利用管理システムにおいて、
前記使用中の電池が、定置電源システムの電池であり、前記二次利用先が、前記定置電源システムとは別の定置電源システムであることを特徴とする電池二次利用管理システム。 - 請求項10に記載の電池二次利用管理システムにおいて、
前記使用終了時期予測手段は、前記使用中の電池の劣化推定情報に基づいて、前記使用中の電池の電池容量が、初期の電池容量に対して40%となる時期を算出し、算出した時期を使用終了時期として予測することを特徴とする電池二次利用管理システム。 - 請求項1~11のいずれかに記載の電池二次利用管理システムにおいて、
前記二次利用先決定手段は、前記使用中の電池の劣化推定情報に基づいて、前記使用中の電池が、車載用途として利用可能か否かを判定し、車載用途として利用可能な場合には、前記使用中の電池の二次利用先を車両とすることを特徴とする電池二次利用管理システム。 - 請求項12に記載の電池二次利用管理システムにおいて、
前記二次利用先決定手段は、前記使用中の電池が、車載用途として利用可能であると判断した場合には、前記使用中の電池の劣化推定情報に基づいて、二次利用先として利用可能な車両ユーザのユーザ区分を決定することを特徴とする電池二次利用管理システム。 - 請求項13に記載の電池二次利用管理システムにおいて、
前記二次利用先決定手段により決定されたユーザ区分に該当する車両ユーザに対して、二次利用可能な電池が存在する旨の情報を提供する情報提供手段をさらに備えることを特徴とする電池二次利用管理システム。 - 使用中の電池の情報を用いて、該電池の二次利用先を管理する電池二次利用管理装置であって、
使用中の電池の劣化推定情報から予測された前記使用中の電池の使用終了時期の情報を取得する使用終了時期情報取得手段と、
前記使用中の電池の二次利用先の候補となる、複数の二次利用先候補で使用されている電池の電池交換時期の情報を取得する電池交換時期情報取得手段と、
前記使用中の電池の使用終了時期の情報と、前記複数の二次利用先候補で使用されている電池の電池交換時期の情報に基づいて、前記使用中の電池の二次利用先を、使用終了前に予め決定する二次利用先決定手段とを備える電池二次利用管理装置。 - 請求項15に記載の電池二次利用管理装置において、
前記二次利用先決定手段は、前記電池交換時期情報取得手段によって取得された複数の二次電池利用先候補で使用されている電池の電池交換時期のうち、前記使用終了時期情報取得手段によって取得された使用中の電池の使用終了時期に最も近い電池交換時期に対応する二次利用先候補を、前記使用中の二次利用先として使用終了前に予め決定することを特徴とする電池二次利用管理装置。 - 使用中の電池の劣化推定情報に基づいて、前記使用中の電池の使用終了時期を予測し、
予測した使用終了時期に基づいて、前記使用中の電池の二次利用先を、使用終了前に予め決定することを特徴とする電池二次利用管理方法。 - 請求項17に記載の電池二次利用管理方法であって、
複数の二次利用先候補で使用されている電池の電池交換時期を予測し、
当該予測した電池交換時期のうち、前記使用終了時期に最も近い電池交換時期に対応する二次利用先候補を前記使用中の電池の二次利用先として、使用終了前に予め決定することを特徴とする電池二次利用管理方法。
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JPWO2016194082A1 (ja) * | 2015-05-29 | 2018-03-15 | 日産自動車株式会社 | バッテリ劣化度推定装置および推定方法 |
JPWO2019207852A1 (ja) * | 2018-04-23 | 2021-06-10 | パナソニックIpマネジメント株式会社 | データセンタのバックアップ用電源システム、バックアップ用電池ラック |
WO2019207852A1 (ja) * | 2018-04-23 | 2019-10-31 | パナソニックIpマネジメント株式会社 | データセンタのバックアップ用電源システム、バックアップ用電池ラック |
JP7182142B2 (ja) | 2018-04-23 | 2022-12-02 | パナソニックIpマネジメント株式会社 | データセンタのバックアップ用電源システム、バックアップ用電池ラック |
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JP7048519B2 (ja) | 2019-01-25 | 2022-04-05 | 本田技研工業株式会社 | 二次電池状態検知システム、二次電池状態検知装置および二次電池状態検知方法 |
JP2020119830A (ja) * | 2019-01-25 | 2020-08-06 | 本田技研工業株式会社 | 二次電池状態検知システム、二次電池状態検知装置および二次電池状態検知方法 |
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JP2021135559A (ja) * | 2020-02-25 | 2021-09-13 | 本田技研工業株式会社 | 電力供給装置管理システム |
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WO2024202579A1 (ja) * | 2023-03-24 | 2024-10-03 | パナソニックIpマネジメント株式会社 | 電池分析システム、電池分析方法および電池分析プログラム、電池分析プログラムが記載された記憶媒体 |
Also Published As
Publication number | Publication date |
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EP3026751A1 (en) | 2016-06-01 |
US10013678B2 (en) | 2018-07-03 |
JPWO2015012144A1 (ja) | 2017-03-02 |
EP3026751B1 (en) | 2019-04-17 |
JP6128220B2 (ja) | 2017-05-17 |
US20160162849A1 (en) | 2016-06-09 |
CN105706290B (zh) | 2018-12-07 |
EP3026751A4 (en) | 2016-10-26 |
CN105706290A (zh) | 2016-06-22 |
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