Information processing method, computer program, and information processing apparatus

Abstract

To provide an information processing method, a computer program, and an information processing device that promote application of a power storage element used in an electric mobile body to other uses.SOLUTION: The energy storage device evaluation server 50 outputs a lease fee or a rental fee of the motor-driven movable body based on a transaction price for the secondary application of the energy storage device 43 at the time when the energy storage device 43 reaches a state of health set for diversion to the secondary application 40. 1d EV1a.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] One embodiment of the present invention relates to a technique for promoting application of an energy storage element used in an electrically powered mobile object such as an electric vehicle (EV) to other uses. [Background technology]

[0002] In recent years, services that provide EVs to users through leasing have become more widespread. Patent Document 1 discloses an information processing system that charges discounted electricity charges to customers of an electric utility who are also car leasing customers, in order to promote the use of EVs in car leasing.

[0003] Patent Document 2 discloses a leasing support device that calculates the leasing fee for an EV in a car lease based on the selling price of the EV after leasing. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 2023-24037 [Patent Document 1] Japanese Patent Publication No. 2022-67192 Summary of the Invention [Problem to be solved by the invention]

[0005] The use of lithium-ion batteries used in EVs for other purposes is being considered. One example is the conversion of used EV batteries into storage battery equipment in stationary energy storage systems (ESS).

[0006] In order to prevent battery shortages and unsafe events, lithium-ion batteries are only used in EVs until their state of health (SOH) reaches a capacity retention rate of approximately 70% of the initial (rated) capacity, assuming that the initial (rated) capacity is 100%, due to the progression of deterioration with use.

[0007] The inventors noticed that when used EV batteries are repurposed for use in ESSs (repurposed use), the batteries can be used until their SOH reaches, for example, around 65% (end of life: EOL). This is because in an ESS, a specified capacity (electrical capacity, current capacity) can be secured by increasing the number of parallel connections (number of banks) of batteries, even if the battery SOH has decreased, and the resulting space constraints can be avoided by securing installation space when used in an ESS.

[0008] The inventors further realized that when used EV batteries are used in large-scale battery storage facilities such as ESS, the capacity and voltage of the batteries installed in a single EV are insufficient, and it is necessary to collect batteries from multiple EVs.

[0009] Used batteries collected randomly from multiple EVs are likely to have varying SOH depending on the usage history of each EV (driving history, ambient temperature history, etc.). To apply used EV batteries to large-scale battery storage facilities, it is desirable that the SOH of the batteries collected from those multiple EVs be roughly the same.

[0010] One embodiment of the present invention provides a technique for promoting application of an energy storage element used in an electric vehicle to other uses. [Means for solving the problem]

[0011] In one aspect of the information processing method of the present invention, an information processing device acquires status data of a storage element installed in an electric vehicle that is being leased or rented (including shared), and outputs a lease fee or rental fee for the electric vehicle based on the trading price for secondary use of the storage element at the time when the storage element reaches a health state (a predetermined value or range) set for conversion to secondary use.

[0012] The "electric vehicle" referred to here may be an electric car, a hybrid or plug-in hybrid electric vehicle, or any other electric vehicle such as a motorcycle, an aircraft, or a ship. The "electricity storage element" may be a lithium ion battery or other secondary battery, or may be a capacitor.

[0013] The "state of health (SOH)" may be the capacity retention rate, the dischargeable electrical capacity, or some other numerical value such as the remaining life (in years) taking into account the capacity and internal resistance of the storage element. A "secondary use" is a use other than the use of the storage element when it was leased or rented (e.g., an electric vehicle), and may be a storage battery installation in an ESS or backup power source that requires used batteries from multiple EVs. The "transaction price" may be the selling price, or may be a price including the selling price and various expenses such as transportation costs. [Effects of the Invention]

[0014] According to the above configuration, the application of the electricity storage element used in the electric vehicle to other uses is promoted.

[0015] According to one embodiment described below, the interests of stakeholders involved in the primary and secondary uses of energy storage elements are adjusted, and the collection of used energy storage elements with a nearly complete SOH is promoted. For example, primary use businesses such as car leasing companies will be able to set fees for EV users, assuming that secondary use businesses will purchase the storage elements at a relatively high price once they reach a specified SOH. This allows EV users to use their EVs at reasonable rates, and secondary use businesses can obtain new revenue opportunities by collecting used energy storage elements that have nearly completed their SOH. [Brief explanation of the drawings]

[0016] [Figure 1] FIG. 1 is a diagram illustrating an overview of an information processing system. [Figure 2] 10 is a graph showing an example of the relationship between battery usage period and SOH. [Figure 3]1A and 1B are diagrams illustrating the transition in value of used batteries as their SOH decreases, where (A) shows the first example and (B) shows the second example. [Figure 4] FIG. 2 is a block diagram illustrating the electrical configuration of an ESS (storage battery equipment). [Figure 5] FIG. 2 is a diagram illustrating an example of the configuration of an energy storage element evaluation server (information processing device). [Figure 6] FIG. 4 is a schematic diagram illustrating the operation of the SOH estimation unit. [Figure 7] FIG. 1 is a diagram illustrating an example of a lease or rental service area. [Figure 8] (A) is a diagram showing vehicle IDs for identifying vehicles used in each region, and (B) is a diagram showing storage element IDs for identifying storage elements installed in each vehicle. [Figure 9] FIG. 10 is a diagram illustrating another example of an information processing system. DETAILED DESCRIPTION OF THE INVENTION

[0017] 1 includes an energy storage element evaluation server 50 (an example of an information processing device) and a client device 30 (a personal computer, a tablet, a smartphone, or the like). The evaluation server 50 has a remote monitoring function and acquires status data of the driving lithium-ion batteries 43 of each of a plurality of electric vehicles (EVs) 1a to 1d via a communication network N in near real time, sequentially, or intermittently.

[0018] Multiple EVs 1a-1d may be owned by the same business (e.g., a car leasing business) and leased or rented to EV users. Car leasing businesses own many leased EVs, such as commercial vehicles operated by EV users in various regions. By managing EVs 1a-1d owned by the same car leasing business, it becomes relatively easy to collect used batteries with nearly uniform SOH.

[0019] The battery 43 shown schematically in FIG. 1 is a power storage pack or a power storage module including a battery pack in which multiple battery cells are connected in series and / or parallel, and a battery management unit (BMU) and / or a cell management unit (CMU).

[0020] The status data of the battery 43 acquired by the evaluation server 50 may include time series data of current (e.g., current flowing through multiple battery cells connected in series), time series data of voltage (e.g., voltage of each battery cell), and time series data of temperature (e.g., temperature at a representative point of each storage module).

[0021] The evaluation server 50 outputs information to the multiple EVs 1a to 1d and the client device 30 via the network N. The evaluation server 50 has a web server function and may output web page information in response to a request from a web browser running on the client device 30, but the method of outputting the information is not limited to this. The evaluation server 50 may output information in conjunction with an application program (e.g., a smartphone application) running on the client device 30. The client device 30 has a display unit such as a liquid crystal display or an organic EL display for displaying the received information.

[0022] The right side of FIG. 1 shows a schematic diagram of used batteries 43 collected from multiple EVs 1a to 1d being converted into an ESS storage battery system 40. The storage battery system 40 may be configured by housing a control panel 45 and multiple battery panels 41 in a metal container. The storage battery system 40 does not have to include a container, and the battery panels 41 may be installed indoors or outdoors. The storage battery system 40 may also be equipped with a power converter such as a power conditioner (PCS).

[0023] Next, the relationship between the usage period of battery 43 and SOH will be explained. In the graph of Figure 2, the horizontal axis indicates the usage period of the battery installed in each EV, and the vertical axis indicates the battery's SOH. The solid line from the vertical axis to the white circle is an example of battery degradation, showing that the SOH of the battery, which was initially 100%, has decreased by 15% (SOH becomes 85%) after 10 years of use of the EV by the EV user. The SOH may decrease linearly or curved.

[0024] Figure 2 also shows, with vertical arrows, the residual value of the battery when the battery's SOH reaches 80% (when it reaches the black circle) if it continues to be used in an EV (a), and the residual value of the battery when it is converted into an ESS battery storage facility (b).

[0025] If the battery continues to be used in an EV, a battery with an SOH of 80% (black circle) can be used until the SOH reaches 70%. If converted into an ESS storage battery facility, a battery with an SOH of 80% (black circle) can be used until the SOH reaches approximately 65% ​​(EOL). A battery with an SOH of 80% can be used down to a lower SOH range if converted into a storage battery facility (b) than if it continues to be used for an EV (a), and there is an opportunity / potential for a higher residual value.

[0026] The transition in value of used EV batteries as the SOH decreases will be described with reference to FIG. 3(A). The dashed line shows the price of a new battery. The solid line shows the change in the value of a battery when a used EV battery is reused for EV purposes (EV reuse). As shown by this solid line, once the SOH reaches around 70%, the battery can no longer be used for EV purposes, and the residual value of the battery becomes almost zero.

[0027] Users of leased EVs pay a fee set by the car leasing company over the period of use. Car leasing companies can set leasing fees by taking into account the residual value of the EV battery at the end of the lease. In Figure 3(A), the area between the price of a new battery (dashed line) and the value of the battery when the EV is reused (solid line) is shown as the actual price borne by the EV user.

[0028] The dashed-dotted line in Figure 3(A) shows a first example of the transition in battery value when used EV batteries are repurposed (repurposed) into ESS battery storage equipment. In the range of SOH 80% on the horizontal axis, the value of batteries when used EV batteries are repurposed into ESS battery storage equipment (dashed-dotted line) exceeds the value of batteries when used EV batteries are reused for EV purposes (solid line). The reason for this will be explained in detail below.

[0029] When used EV batteries are reused for EV use (solid line), the used batteries from one EV are installed in one second-hand EV. Due to installation space constraints, it is not possible to install used batteries from two EVs in one second-hand EV.

[0030] On the other hand, when used EV batteries are reused in an ESS storage battery facility (in the case of the dashed-dotted line), used batteries with nearly the same SOH that were installed in multiple EVs are installed in a single storage battery facility. In this way, an ESS equipped with many used EV batteries can enable energy trading businesses, for example, to earn new revenue through energy trading.

[0031] In anticipation of such new revenues, the value of used EV batteries for ESS conversion (dashed line) when their SOH reaches a certain value (e.g., 80%) exceeds the value of the batteries when reused for EV applications (solid line). However, once the SOH drops further beyond that certain value (80%), the value of used EV batteries for ESS conversion drops sharply. This is because used batteries with a further drop in SOH will no longer match the SOH of the other used batteries from multiple EVs secured for repurposing, and will no longer be able to be combined with those other used batteries and installed in the same battery storage facility, or will require frequent replacement.

[0032] By monitoring using the evaluation server 50 shown in Figure 1, it is possible to identify and collect used batteries 43 with almost the same SOH from multiple EVs operating in various regions, for example.

[0033] Car leasing companies can expect that secondary use businesses, such as electricity trading companies and ESS manufacturers, will purchase used EV batteries43 whose SOH has reached a certain level at a relatively high price. Based on this high purchase price, car leasing companies can set reasonable leasing fees for EV users.

[0034] Next, Fig. 4 shows an example of the electrical configuration of the storage battery equipment 40. Each battery panel 41 of the storage battery equipment 40 houses a plurality of storage modules 43. The plurality of storage modules 43 are electrically connected in series to form a plurality of groups (a plurality of banks).

[0035] Battery management units 42b and 42a are provided for each bank and for a group (hereinafter referred to as a domain) in which a plurality of banks are connected in parallel.

[0036] The power storage module 43 is configured by connecting multiple battery cells (lithium ion secondary batteries in this embodiment) in series and / or parallel. The battery cells may be square cells (prismatic cells), cylindrical cells, or laminated cells (pouch cells).

[0037] The battery management unit 42b provided in each bank communicates with a monitoring board 44 (CMU) provided in each power storage module 43 in the bank via a communication line 42d. In this way, the battery management unit 42b acquires status data of the power storage module 43 and the battery cells (measurement data such as cell voltage and temperature).

[0038] Preferably, one bank of the battery storage equipment 45 is made up of used batteries collected from a single EV. The multiple battery cells installed in a single EV often have roughly the same usage history and roughly the same SOH. If the SOH of the battery cells in a bank are roughly the same, the bank can achieve the expected charge / discharge performance. In other words, it is possible to prevent a battery cell with an exceptionally low SOH from becoming a bottleneck and preventing the expected charge / discharge performance from being achieved.

[0039] If a bank is made up of used batteries collected from a single EV, some variation in SOH between banks is acceptable because the battery management units 42a and 42b can appropriately control charging and discharging for each bank. Thus, for the construction of one battery storage facility 40, it is possible to apply not only used batteries with a specific SOH value (e.g., 80%), but also used batteries 43 within a specified SOH range (e.g., a range of 80% ± 5%).

[0040] In the battery equipment 40, the monitoring board 44 of the power storage module 43 and the electric circuits such as the battery management unit 42b may continue to be those used in the leased EV.

[0041] The battery management unit 42a provided in the domain can communicate with the battery management unit 42b of each bank via a communication bus 42c, and collects status data of the power storage modules 43 and battery cells acquired by the battery management unit 42b.

[0042] A communication device 46 is connected to the battery management unit 42a of the domain. The communication device 46 transmits battery cell status data acquired via the battery management unit 42a and the battery management unit 42b of each bank to a remote monitoring system (remote monitoring server, not shown) of the battery storage equipment 40. The communication device 46 may be a network card-type communication device (network interface card). The battery management unit 42a and the communication device 46 may be housed in a control panel 45 (see FIG. 1).

[0043] While the batteries 43 are being used by EV users in the EVs 1a to 1d shown in FIG. 1 before being applied (repurposed) to the storage battery equipment 40 of FIG. 4, the storage element evaluation server 50 acquires status data of each battery 43.

[0044] 5, the energy storage element evaluation server 50 includes a control unit 51 that controls the entire server, a communication unit 52, a storage unit 53, a recording medium reading unit 54, and a processing unit 60. The processing unit 60 includes an SOH estimation unit 61, a fee calculation unit 62, a fee output unit 63, and a combination recommendation unit 64.

[0045] The information processing device is not limited to being configured with one server device (assessment server 50), but may be configured with multiple server devices, or may be configured by applying distributed ledger management technology.

[0046] The control unit 51 can be configured with, for example, a CPU, and controls the entire server using built-in memories such as ROM and RAM. The control unit 51 executes information processing based on a server program stored in the storage unit 53.

[0047] The communication unit 52 transmits and receives data to and from the EVs 1a to 1d (see FIG. 1) and client devices via the communication network N. Under the control of the control unit 51, the communication unit 52 receives (acquires) data on the status (for example, voltage, current, power, temperature, etc.) of the battery installed and used in the EV, and stores the received data in the storage unit 53.

[0048] The storage unit 53 may be a hard disk or a nonvolatile memory such as a flash memory. The storage medium reading unit 54 can read the programs and data stored in the storage unit 53 or RAM via a medium MR (for example, a CD-ROM or a telecommunications line).

[0049] Next, we will explain the processing unit 60. The SOH estimation unit 61 included in the processing unit 60 acquires, as input data, load patterns (for example, charge / discharge power patterns) and temperature patterns that are battery usage histories from the EVs 1a to 1d, as shown in Fig. 6.

[0050] SOH at time t is SOH t SOH at time t+1 is SOH t+1 Then, the degradation value is SOH t and S.O.H. t+1 The time t can be expressed as the difference between the time t and the time t+1. Here, time t can be a time in the past, present, or future, and time t+1 can be a time when a predetermined time has passed from time t into the future. The time difference between time t and time t+1 is the target period for degradation estimation (or lifespan prediction) by the SOH estimation unit 61, and can be set appropriately depending on how far into the future the degradation (lifespan) is to be calculated. The time difference between time t and time t+1 can be a predetermined time, such as one month, six months, one year, or two years.

[0051] The SOH estimator 61 may function as a state of charge (SOC) estimator, and may estimate the battery degradation value at time t+1 based on the SOC transition estimated from the input load pattern and the battery temperature pattern. The degradation value Qdeg after the target period for battery degradation estimation (life prediction) (e.g., from time t to time t+1) has elapsed can be expressed as the sum of the non-energized degradation value Qcnd and the energized degradation value Qcur.

[0052] The non-power-on degradation value Qcnd can be calculated, for example, by Qcnd=K1×√(period), where the coefficient K1 is a function of the SOC and temperature. The current degradation value Qcur can be calculated, for example, by Qcur=K2×(variation in SOC), where the coefficient K2 is a function of the SOC and temperature. Health status at time t+1 t+1 SOH t+1 =SOH t It can be estimated by -Qdeg.

[0053] In this way, the SOH estimation unit 61 (evaluation server 50) sequentially or intermittently estimates the SOH of the batteries 43 of the EVs 1a to 1d operated in various regions shown in Figure 1. The estimated values ​​are stored in the storage unit 53.

[0054] The evaluation server 50 may estimate the SOH not only for EVs 1a to 1d owned by the same business operator, but also for batteries 43 owned or operated by multiple businesses. This makes it possible to grasp the status of more used EV batteries and secure more batteries that have reached a predetermined SOH, facilitating the construction of storage battery facilities 40 that repurpose these batteries.

[0055] The fee calculation unit 62 of the processing unit 60 shown in FIG. 5 calculates a reasonable lease fee for the EV user.

[0056] As shown by the solid line in Figure 3(A), assuming EV reuse, the value of the battery decreases roughly in proportion to the decrease in the battery's SOH with use. When a leased EV has been in use for 12 to 13 years and its SOH has reached 80%, the purchase price of used batteries for EV reuse is, for example, 5 yen / watt-hour (Wh). Car leasing companies set annual lease fees over the period of use based on this purchase price of 5 yen / Wh.

[0057] On the other hand, assuming that used batteries are converted into ESS, the purchase price of used batteries when their SOH reaches 80% in 12 to 13 years will be, for example, 10 yen / Wh.

[0058] Car leasing companies can set annual lease fees over the period of use based on this purchase price of 10 yen / Wh. Car leasing companies can reduce the actual price borne by EV users by providing that the lease ends when the battery reaches a specified SOH.

[0059] In this way, the fee calculation unit 62 shown in Figure 5 calculates the lease fee for an EV user, assuming that secondary use businesses such as electricity trading businesses and ESS manufacturers will purchase used batteries at a relatively high price (e.g., 10 yen / Wh).

[0060] The fee output unit 63 shown in FIG. 5 outputs the calculated lease fee in response to a request from a web browser or other application program running on the client device 30 (see FIG. 1) or as an event.

[0061] Car leasing companies own a large number of leased EVs operated by EV users in various regions, as shown in Figure 7. If region C1 is a warm region and region C10 is a cold region, the batteries installed in EVs in region C1 will be more susceptible to deterioration than those in region C10. If there are few EV charging facilities in region C5, it is predicted that the SOC fluctuations of the batteries installed in EVs will tend to be larger in region C5.

[0062] As shown in FIG. 8(A), leased EVs may be managed by associating each region with a vehicle ID that identifies the EVs operated there. As shown in FIG. 8(B), each vehicle ID may be stored in association with an energy storage element ID that identifies the energy storage element mounted on the vehicle. These pieces of information may be stored in the storage unit 53 of the assessment server 50 (see FIG. 5).

[0063] Furthermore, the evaluation server 50 may sequentially or intermittently store the estimated SOH in association with the storage element ID. In this way, the evaluation server 50 can identify used batteries 43 with nearly uniform SOH from among a plurality of EVs operated in various regions.

[0064] Figure 3(B) shows a second example of the value transition of used EV batteries when they are converted into ESS battery storage equipment. As mentioned above, car leasing companies own a large number of leased EVs operated in various regions. Some leased EVs are equipped with batteries that have deteriorated beyond the 80% ± 5% range (for example, batteries with an SOH of 70%). As shown in Figure 3(B), even such deteriorated batteries have the opportunity and possibility of having a high residual value.

[0065] Users' needs for ESS battery storage equipment 40 are diverse. In some cases, a heavy load is required on the batteries, such as charging and discharging at a deep depth several times a day, while in other cases a relatively light load is required on the batteries, such as charging and discharging only once a day. In order to meet such diverse needs, it is conceivable to build a battery storage equipment 40 by combining used batteries with multiple SOH ranges. Furthermore, when converting an ESS battery storage equipment 40 to operate for 20 years, for example, and assuming that all batteries are replaced only once during the operation, a combination of batteries with a remaining life of 10 years + 10 years or a combination of batteries with a remaining life of 15 years + 5 years could be considered.

[0066] The combination recommendation unit 64 shown in Figure 5 recommends combinations of used batteries within multiple SOH ranges from among the used batteries stored in the storage unit 53. For light load needs, recommending a storage battery system that also uses degraded batteries (for example, batteries with an SOH of 70%) can provide cost benefits to users of the storage battery system. This also increases the flexibility in setting fees for users of leased or rented EVs, providing further cost benefits to these EV users.

[0067] 9, the information processing system may include a battery demand information provider 35 (e.g., another server device) that can communicate with the energy storage element evaluation server 50. The battery demand information provider 35 outputs the future timing and specifications of storage battery equipment that will be in demand. Based on the demand information output from the battery demand information provider 35, the combination recommendation unit 64 of the evaluation server 50 outputs the configuration of a storage battery equipment that combines used batteries within a plurality of SOH ranges, and an estimated price of the storage battery equipment.

[0068] The configuration and effects of the above-described embodiment will be summarized below. (1) The information processing method involves the evaluation server 50 acquiring status data of the battery 43 installed in the EV 1a to 1d being leased or rented, and outputting the lease or rental fee for the EV based on the trading price for secondary use of the battery 43 at the time when the SOH set for conversion to secondary use is reached.

[0069] The configuration of the embodiment (1) above promotes the application of batteries 43 used in EVs 1a to 1d to other uses (storage battery equipment 40 of ESS). Car leasing companies can set reasonable fees for EV users. EV users can use EVs at reasonable fees. Secondary use companies, such as energy trading companies and ESS manufacturers, can collect used energy storage elements with nearly complete SOH and repurpose them to build ESSs, thereby gaining new revenue opportunities.

[0070] (2) In the information processing method of (1) above, the trading price of the battery 43 for secondary use is set higher than the trading price for EV reuse at the time when the set SOH is reached (see FIG. 3(A)).

[0071] The configuration of the embodiment (2) above promotes the application of batteries 43 used in EVs 1a to 1d to storage battery facilities 40, stimulating the circular economy. Storage battery facilities 40, such as ESSs and backup power sources, are socially necessary infrastructure, but compete with EVs in terms of using scarce resources. The configuration of the embodiment (2) above adjusts the interests of stakeholders involved in the primary use of batteries 43 (EV users, car leasing companies) and stakeholders involved in the secondary use (ESS manufacturers, electricity trading companies), promoting the construction of storage battery facilities that repurpose used EV batteries.

[0072] (3) In the information processing method (1) or (2) above, the evaluation server 50 acquires usage history data of the battery 43 as status data, estimates the non-power-on deterioration and power-on deterioration of the battery 43 installed in each EV, and determines whether the battery 43 has reached a set health state.

[0073] EVs may be parked for longer periods than they are driven, and may be used in both warm and cold climates. Estimating the SOH of batteries 43 in these various operating environments requires a comprehensive approach based on a clear distinction between non-energized deterioration (including aging) and energized deterioration of each battery. Estimating non-energized deterioration requires taking into account the temperature history of the battery 43. Estimating energized deterioration requires taking into account the SOC history of the battery 43 (such as SOC fluctuations and central SOC) (see, for example, Japanese Patent No. 6428957). The configuration of the embodiment (3) above allows for an accurate estimation of the SOH of the battery 43 for the purpose of charging EV users.

[0074] (4) In the information processing method of (1) or (2) above, the evaluation server 50 sets a plurality of health states for the battery 43 and outputs a combination of the battery 43 having the plurality of health states for secondary use.

[0075] The configuration of the above embodiment (4) can provide cost benefits to users of battery storage equipment by recommending battery storage equipment that uses batteries with advanced degradation when a light load is required for the battery storage equipment. In addition, the flexibility in setting fees for users of leased EVs and rental EVs is improved, providing further cost benefits to these EV users.

[0076] (5) A computer program that causes a computer to execute a process of acquiring status data of a storage element installed in an electric vehicle to be leased or rented, and outputting the lease fee or rental fee for the electric vehicle based on the transaction price for secondary use of the storage element at the time when the storage element reaches a health state set for conversion to secondary use.

[0077] The computer program according to the embodiment (5) above may be executed by the energy storage element evaluating server 50. Furthermore, the processes according to the methods (2) to (4) above may be implemented in this computer program.

[0078] (6) A computer program that causes a computer to execute a process of acquiring status data of a storage element installed in an electric vehicle to be leased or rented, outputting a lease fee or rental fee for the electric vehicle based on the trading price for the secondary use of the storage element at the time when the storage element reaches a health state set for conversion to a secondary use, communicating with an information processing device, receiving the lease fee or rental fee for the vehicle from the information processing device, and displaying the lease fee or rental fee for the vehicle on the display unit of a client device.

[0079] The computer program according to the embodiment (6) above may be executed on the client device 30.

[0080] (7) An information processing device including: an acquisition unit that acquires status data of a storage element mounted on an electric vehicle to be leased or rented; an estimation unit that estimates the health state of the storage element based on the acquired status data; and a fee output unit that outputs a lease fee or rental fee for the electric vehicle based on the transaction price for secondary use of the storage element at the time when the storage element reaches a health state set for conversion to a secondary use.

[0081] According to the embodiment (7) above, the information processing device can centrally estimate the health status of the power elements of many electric vehicles operating in various regions and keep track of them at all times. For example, if manufacturers of ESS and backup power sources are involved in the operation of this information processing device, secondary use demand information can also be taken into account, stimulating the circular economy. [Explanation of symbols]

[0082] 30 Client Device 40 Battery storage equipment 43 Lithium-ion battery (energy storage element) 50 Energy storage element evaluation server (information processing device) N Communication Network

Claims

1. An information processing device acquires status data of a storage element mounted on an electric vehicle to be leased or rented, The information processing device outputs a lease fee or rental fee for the electric vehicle based on a trading price for the secondary use of the energy storage element at the time when the energy storage element reaches a health state set for conversion to a secondary use. Information processing methods.

2. The trading price of the energy storage element for secondary use is set higher than the trading price for reuse of the electric vehicle at the time when the set health state is reached. The information processing method according to claim 1 .

3. The information processing device acquires usage history data of the power storage elements as the state data, estimates non-energization deterioration and energization deterioration of the power storage elements mounted on each electric vehicle, and determines whether the power storage elements have reached the set health state.

3. The information processing method according to claim 1.

4. The information processing device sets a plurality of health states of the storage elements for conversion to secondary uses, and outputs a combination of the storage elements having the plurality of health states for the secondary uses.

3. The information processing method according to claim 1.

5. Acquire status data of the storage element mounted on the electric vehicle to be leased or rented, A lease fee or a rental fee for the electric vehicle is output based on a trading price for the secondary use of the storage element at the time when the storage element reaches a health state set for conversion to the secondary use. A computer program that causes a computer to perform a process.

6. a communication connection to an information processing device that acquires status data of an electric storage element mounted on an electric vehicle to be leased or rented, and outputs a lease fee or rental fee for the electric vehicle based on the transaction price for secondary use of the electric storage element at the time when the electric storage element reaches a health state set for conversion to secondary use; receiving a lease fee or rental fee for the mobile object from the information processing device; The lease fee or rental fee of the mobile unit is displayed on the display unit of the client device. A computer program that causes a computer to perform a process.

7. an acquisition unit that acquires status data of a storage element mounted on an electric vehicle to be leased or rented; an estimation unit that estimates a health state of the energy storage element based on the acquired state data; a fee output unit that outputs a lease fee or a rental fee for the electric vehicle based on a transaction price for the secondary use of the energy storage element at the time when the energy storage element reaches a health state set for conversion to a secondary use; An information processing device comprising:

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