WO2019184863A1

WO2019184863A1 - Recycling system and method for power batteries in electric vehicles

Info

Publication number: WO2019184863A1
Application number: PCT/CN2019/079488
Authority: WO
Inventors: 邓林旺; 冯天宇; 杨子华; 林思岐; 吕纯
Original assignee: 比亚迪股份有限公司
Priority date: 2018-03-30
Filing date: 2019-03-25
Publication date: 2019-10-03
Also published as: CN110323508A; CN110323508B

Abstract

A recycling system and method for power batteries in electric vehicles, the system comprising: an operation server (10) that is used for acquiring operation information of power batteries in a plurality of electric vehicles and generating a historical parameter curve corresponding to the power batteries according to the operation information of the power batteries; a recycling server (20) that is used for acquiring markers of a plurality of power batteries to be recycled, according to the markers of the power batteries, acquiring from the operation server a historical parameter curve of the plurality of power batteries to be recycled, and screening the plurality of power batteries to be recycled according to the historical parameter curve of the plurality of power batteries to be recycled so as to form a recycled battery stack.

Description

Power battery recycling system and method in electric vehicle

Cross-reference to related applications

The present application is based on the Chinese Patent Application No. 20181027946, filed on Jan. 30, the entire disclosure of which is hereby incorporated by reference.

Technical field

The present disclosure relates to the field of electric vehicle technology, and in particular, to a power battery recovery system in an electric vehicle and a power battery recovery method in the electric vehicle.

Background technique

Power batteries (such as lithium-ion batteries) have been widely used as a green energy source without environmental pollution due to their high energy density, high output voltage, good cycle performance, low self-discharge rate, fast charge and discharge, and high charging efficiency. Used in electric vehicles and energy storage systems.

At present, the highest level of application requirements are electric vehicles (including rail transit trains, buses, taxis, private cars, various special vehicles, such as mines, forklifts, airport shuttles, trucks, sweepers, etc.), and finally energy storage. system.

With the rapid development of lithium batteries for electric vehicles, it is expected that power batteries will enter a stage of large-scale recycling in the next few years, so it is necessary to consider the use of batteries. Lithium-ion power batteries that have been retired from electric vehicles have been screened and reorganized, and reused to other places with relatively low requirements such as energy storage power stations, which will greatly reduce the actual utilization price of lithium-ion power batteries, and is more conducive to waste. The development direction of resource conservation.

In the related art, the lithium ion power battery pack decommissioned from the electric vehicle is disassembled, and preliminary screening is performed according to the external form, and the screening contents mainly include: whether the ear is intact, whether the battery is soft, bulging, liquid leakage, etc.; Secondly, the internal characteristics of the battery are tested, including capacity, internal resistance, etc., and then the battery is reorganized and matched according to the test results.

However, the above technology requires retesting the parameters of the power battery that has been decommissioned from the electric vehicle, and wastes a lot of manpower and financial resources.

Summary of the invention

The present disclosure aims to solve at least one of the technical problems in the above technology to some extent. To this end, the first object of the present disclosure is to provide a power battery recovery system for an electric vehicle, which can save a lot of manpower and material resources, and improve the efficiency of screening and the probability of power battery consistency.

A second object of the present disclosure is to provide a method of recycling a power battery in an electric vehicle.

In order to achieve the above object, a first aspect of the present disclosure provides a power battery recovery system for an electric vehicle, including: an operation server, configured to acquire operation information of a power battery in a plurality of electric vehicles, and according to the power battery The operation information generates a historical parameter curve corresponding to the power battery; the recovery server is configured to acquire the identifiers of the plurality of power batteries to be recovered, and obtain the plurality of to-be-recovered powers from the operation server according to the identifier of the power battery a historical parameter curve of the battery, and the plurality of power batteries to be recovered are screened according to a historical parameter curve of the plurality of power batteries to be recovered to form a recovery battery stack.

According to the recovery system of the power battery in the electric vehicle according to the embodiment of the present disclosure, the operation information of the power battery in the plurality of electric vehicles is obtained by the operation server, and the historical parameter curve corresponding to the power battery is generated according to the operation information of the power battery, and the recovery server acquires more The identification of the power battery to be recovered, and obtaining historical parameter curves of the plurality of power batteries to be recovered from the operation server according to the identification of the power battery, and screening a plurality of power batteries to be recovered according to historical parameter curves of the plurality of power batteries to be recovered Form a recycled battery stack. Thus, the system can save a lot of manpower and material resources, and improve the efficiency of screening and the probability of power battery consistency.

In addition, the recovery system of the power battery in the electric vehicle according to the above embodiment of the present disclosure may further have the following additional technical features:

According to an embodiment of the present disclosure, the recycling server selects a battery health state SOH (State Of Health) parameter curve, a battery remaining capacity, a battery internal resistance parameter curve, and a self-discharge rate of the power battery at a preset A power battery within the range forms the recovered battery stack.

According to an embodiment of the present disclosure, the operation server is further configured to generate a battery model corresponding to the power battery according to a historical parameter curve corresponding to the power battery.

According to an embodiment of the present disclosure, the recycling server is further configured to generate a prediction curve of the power battery according to a battery model of the power battery and the historical parameter curve, and according to the prediction curve and the plurality of The historical parameter curve of the power battery to be recovered is used to screen the plurality of power batteries to be recovered to form a recovery battery stack.

According to an embodiment of the present disclosure, the recycled battery stack is used in an energy storage power station.

In order to achieve the above object, a second aspect of the present disclosure provides a method for recycling a power battery in an electric vehicle, comprising the steps of: acquiring operation information of a power battery in a plurality of electric vehicles, and according to operation information of the power battery. Generating a historical parameter curve corresponding to the power battery; acquiring a plurality of identifiers of the power battery to be recovered, and acquiring historical parameter curves of the plurality of power batteries to be recovered from the operation server according to the identifier of the power battery, according to the The historical parameter curves of the plurality of power cells to be recovered are used to screen the plurality of power cells to be recovered to form a recovery battery stack.

According to the method for recovering a power battery in an electric vehicle according to an embodiment of the present disclosure, operation information of a power battery in a plurality of electric vehicles is acquired, and a historical parameter curve corresponding to the power battery is generated according to operation information of the power battery, and a plurality of power batteries to be recovered are obtained. And identifying, according to the identification of the power battery, a historical parameter curve of the plurality of power batteries to be recovered from the operation server, and screening a plurality of power batteries to be recovered according to a historical parameter curve of the plurality of power batteries to be recovered to form a recovery battery stack. Thus, the method can save a lot of manpower and material resources, and improve the efficiency of screening and the probability of power battery consistency.

In addition, the method for recovering the power battery in the electric vehicle according to the above embodiment of the present disclosure may further have the following additional technical features:

According to an embodiment of the present disclosure, a battery health state SOH parameter curve, a battery remaining capacity, a battery internal resistance parameter curve, and a power battery having a self-discharge rate within a preset range are selected to form the recovery battery stack.

According to an embodiment of the present disclosure, a battery model corresponding to the power battery is generated according to a historical parameter curve corresponding to the power battery.

According to an embodiment of the present disclosure, a prediction curve of the power battery is generated according to a battery model of the power battery and the historical parameter curve, and a historical parameter curve according to the prediction curve and the plurality of power batteries to be recovered The plurality of power cells to be recovered are screened to form a recycled battery stack.

DRAWINGS

1 is a block schematic diagram of a recycling system of a power battery in an electric vehicle according to an embodiment of the present disclosure;

2 is a flow chart of a method of recycling a power battery in an electric vehicle according to an embodiment of the present disclosure.

detailed description

The embodiments of the present disclosure are described in detail below, and the examples of the embodiments are illustrated in the drawings, wherein the same or similar reference numerals are used to refer to the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the drawings are illustrative, and are not intended to be construed as limiting.

Hereinafter, a recovery system of a power battery in an electric vehicle and a recovery method of a power battery in the electric vehicle according to an embodiment of the present disclosure will be described with reference to the accompanying drawings.

1 is a block schematic diagram of a recovery system for a power battery in an electric vehicle in accordance with an embodiment of the present disclosure.

As shown in FIG. 1, a power battery recycling system in an electric vehicle according to an embodiment of the present disclosure may include an operation server 10 and a recycling server 20.

The operation server 10 is configured to acquire operation information of the power battery in the plurality of electric vehicles, and generate a historical parameter curve corresponding to the power battery according to the operation information of the power battery. The recovery server 20 is configured to acquire the identifiers of the plurality of power batteries to be recovered, and obtain historical parameter curves of the plurality of power batteries to be recovered from the operation server 10 according to the identifier of the power battery, and compare the historical parameter curves of the plurality of power batteries to be recovered. The power cells to be recovered are screened to form a recycled battery stack. In one embodiment of the present disclosure, the recycled battery stack can be used in an energy storage power plant, or other large sustainable power equipment, to enable the utilization of the power battery.

According to an embodiment of the present disclosure, the recycling server 20 selects a battery health state SOH parameter curve of the power battery, a battery remaining capacity, a battery internal resistance parameter curve, and a power battery having a self-discharge rate within a preset range to form a recovery battery stack.

Through the BMS (Battery Management System) of the electric vehicle, the operation information of the entire life cycle (from the factory to the decommissioning) of the power battery on the electric vehicle is continuously monitored and analyzed, and the monitoring information may include: the charging and discharging voltage U, The current I, the temperature T, the OCV (Open Circuit Voltage), the SOH, the power Q of the single battery, the self-discharge rate (also referred to as the charge retention capability), and the like, and upload the acquired operation information to the operation server 10, The operation server 10 generates a historical parameter curve corresponding to the power battery according to the obtained operation information of the power battery in the power electric vehicle, which may include: a historical charge and discharge UI curve, a historical OCV-Q curve, a historical Q-SOH curve, and a historical R-SOH. -IT curve, historical self-discharge rate, etc. At the same time, the operation server 10 compares and analyzes the data of the plurality of power batteries, and filters, classifies, and identifies the power batteries that are close in consistency (such as the capacity, internal resistance, and self-discharge rate of the power battery).

After the power battery is decommissioned, the recovery server 20 obtains the identifiers of the plurality of power batteries to be recovered, and screens the SOH with the same time-varying curve, and the remaining available capacity is similar, and the DC internal resistance DCIR, R0, and R1 of the battery change with time and the values are similar. Similar power cells with similar self-discharge rates are reorganized together as a battery stack for a storage power station.

Therefore, it is possible to continuously track the historical data of the entire life cycle of the power battery in the electric vehicle from the factory to the decommissioning, and continuously and dynamically track the data, so that the historical dynamic data of the power battery can be fully grasped, and the battery can be retested after the battery is decommissioned. , thus saving a lot of manpower and material resources. And through big data screening, the difference between power batteries can be reduced, and the SOC misalignment between power batteries can be reduced.

According to another embodiment of the present disclosure, the operation server 10 is further configured to generate a battery model corresponding to the power battery according to a historical parameter curve corresponding to the power battery.

According to an embodiment of the present disclosure, the recovery server 20 is further configured to generate a prediction curve of the power battery according to the battery model and the historical parameter curve of the power battery, and to the plurality of historical parameter curves of the plurality of to-be-recovered power batteries according to the prediction curve The power battery to be recovered is screened to form a recycled battery stack.

The running server 10 performs statistical analysis on a large amount of power battery data, thereby obtaining a change trend (predictive curve) between the battery model parameters and the state quantity corresponding to the power battery in the life cycle, and the change is statistically analyzed to find that the change trend is similar. The power battery identifies the power battery (such as the serial number of the power battery) and marks it. After the power battery is decommissioned from the electric vehicle, the power batteries marked as the same type are combined into a new battery stack for the energy storage system.

The power battery data may include: influencing factors such as current I, temperature T, SOC (State of Charge), SOH; model parameters such as DCIR (Direct Current Internal Resistance), battery model ohms Resistor R, battery model first-order RC network resistor R1, battery model first-order RC network capacitor C1; state quantities, such as SOC, SOH, SOE (State Of Energy, battery energy state), SOP (State Of Power, Battery power state); measured amount, such as voltage V, current I, temperature T of a single cell.

It should be noted that generally, the parameters of the same batch of power battery are the same. In the embodiment of the present disclosure, it is not limited to marking according to the serial number of the power battery, and may be marked according to other parameters, for example, capacity, power, and the like of the power battery.

In addition, in one embodiment of the present disclosure, for a power battery having a higher degree of capacity attenuation, the scrap processing is directly marked.

Thus, the results of the recovery server through machine learning (using induction, comprehensive analysis, objective statistical analysis of past data, and a new technique for automatically improving the algorithm) will correspond to the results of electric vehicles. The power battery is reorganized and used for large-scale sustainable power equipment such as energy storage power stations, thereby improving the efficiency of sorting and increasing the probability of battery consistency.

In summary, according to the recovery system of the power battery in the electric vehicle according to the embodiment of the present disclosure, the operation information of the power battery in the plurality of electric vehicles is obtained by running the server, and the historical parameter curve corresponding to the power battery is generated according to the operation information of the power battery. The recovery server obtains the identifiers of the plurality of power batteries to be recovered, and obtains historical parameter curves of the plurality of power batteries to be recovered from the operation server according to the identification of the power battery, and multiple to be recovered according to historical parameter curves of the plurality of power batteries to be recovered. The power cells are screened to form a recycled stack. Thus, the system can save a lot of manpower and material resources, and improve the efficiency of screening and the probability of power battery consistency.

As shown in FIG. 2, the method for recycling a power battery in an electric vehicle according to an embodiment of the present disclosure may include the following steps:

S1, obtaining operation information of the power battery in the plurality of electric vehicles, and generating a historical parameter curve corresponding to the power battery according to the operation information of the power battery;

S2. Acquire a plurality of identifiers of the power battery to be recovered, and obtain historical parameter curves of the plurality of power batteries to be recovered from the operation server according to the identifier of the power battery, and calculate a plurality of power to be recovered according to historical parameter curves of the plurality of power batteries to be recovered. The cells are screened to form a recycled stack.

According to an embodiment of the present disclosure, the battery health state SOH parameter curve, the battery remaining capacity, the battery internal resistance parameter curve, and the power battery whose self-discharge rate is within a preset range are selected to form a recovery battery stack.

According to an embodiment of the present disclosure, a predicted curve of the power battery is generated according to a battery model and a historical parameter curve of the power battery, and a plurality of power batteries to be recovered are filtered according to the predicted curve and historical parameter curves of the plurality of power batteries to be recovered. Form a recycled battery stack.

According to one embodiment of the present disclosure, a recycled battery stack can be used for an energy storage power station.

It should be noted that, for details not disclosed in the method for recovering the power battery in the electric vehicle of the embodiment of the present disclosure, please refer to the details disclosed in the recovery system of the power battery in the electric vehicle of the embodiment of the present disclosure, and details are not described herein again. .

In the description of the present disclosure, it is to be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", " Rear, Left, Right, Vertical, Horizontal, Top, Bottom, Inner, Out, Clockwise, Counterclockwise, Axial The orientation or positional relationship of the "radial", "circumferential" and the like is based on the orientation or positional relationship shown in the drawings, and is merely for the convenience of describing the present disclosure and the simplified description, and does not indicate or imply the indicated device or The elements must have a particular orientation, are constructed and operated in a particular orientation, and thus are not to be construed as limiting the disclosure.

Moreover, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include one or more of the features either explicitly or implicitly. In the description of the present disclosure, the meaning of "a plurality" is two or more unless specifically and specifically defined otherwise.

In the present disclosure, the terms "installation", "connected", "connected", "fixed", and the like, are to be understood broadly, and may be either a fixed connection or a detachable connection, unless explicitly stated or defined otherwise. , or integrated; can be mechanical connection, or can be electrical connection; can be directly connected, or can be indirectly connected through an intermediate medium, can be the internal communication of two elements or the interaction of two elements. The specific meanings of the above terms in the present disclosure can be understood by those skilled in the art on a case-by-case basis.

In the present disclosure, the first feature "on" or "under" the second feature may be a direct contact of the first and second features, or the first and second features may be indirectly through an intermediate medium, unless otherwise explicitly stated and defined. contact. Moreover, the first feature "above", "above" and "above" the second feature may be that the first feature is directly above or above the second feature, or merely that the first feature level is higher than the second feature. The first feature "below", "below" and "below" the second feature may be that the first feature is directly below or obliquely below the second feature, or merely that the first feature level is less than the second feature.

In the description of the present specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" and the like means a specific feature described in connection with the embodiment or example. A structure, material, or feature is included in at least one embodiment or example of the present disclosure. In the present specification, the schematic representation of the above terms is not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, various embodiments or examples described in the specification, as well as features of various embodiments or examples, may be combined and combined.

While the embodiments of the present disclosure have been shown and described above, it is understood that the foregoing embodiments are illustrative and are not to be construed as limiting the scope of the disclosure The embodiments are subject to variations, modifications, substitutions and variations.

Claims

A recycling system for a power battery in an electric vehicle, comprising:

a running server, configured to acquire operation information of the power battery in the plurality of electric vehicles, and generate a historical parameter curve corresponding to the power battery according to the operation information of the power battery;

a recovery server, configured to acquire identifiers of the plurality of power batteries to be recovered, and obtain historical parameter curves of the plurality of power batteries to be recovered from the operation server according to the identifier of the power battery, according to the plurality of to-be-recovered powers A historical parameter curve of the battery screens the plurality of power cells to be recovered to form a recycled battery stack.
The power battery recovery system for an electric vehicle according to claim 1, wherein said recycling server selects a battery health state SOH parameter curve, a battery remaining capacity, a battery internal resistance parameter curve, and a self-discharge rate of said power battery. A power battery within a preset range forms the recovered battery stack.
The power battery recovery system for an electric vehicle according to claim 1 or 2, wherein the operation server is further configured to generate a battery model corresponding to the power battery according to a historical parameter curve corresponding to the power battery.
The recovery system for a power battery in an electric vehicle according to any one of claims 1 to 3, wherein the recovery server is further configured to generate a battery according to a battery model of the power battery and the historical parameter curve. Deriving a predicted curve of the power battery, and screening the plurality of power batteries to be recovered according to the predicted curve and a historical parameter curve of the plurality of power batteries to be recovered to form a recycled battery stack.
A recovery system for a power battery in an electric vehicle according to any one of claims 1 to 4, wherein the recovery battery stack is used for an energy storage power station.
A method for recycling a power battery in an electric vehicle, comprising the steps of:

Obtaining operation information of the power battery in the plurality of electric vehicles, and generating a historical parameter curve corresponding to the power battery according to the operation information of the power battery;

Acquiring a plurality of identifiers of the power battery to be recovered, and acquiring historical parameter curves of the plurality of power batteries to be recovered from the operation server according to the identifier of the power battery, according to historical parameter curves of the plurality of power batteries to be recovered The plurality of power cells to be recovered are screened to form a recycled battery stack.
The method for recovering a power battery in an electric vehicle according to claim 6, wherein the battery health state SOH parameter curve, the battery remaining capacity, the battery internal resistance parameter curve, and the self-discharge rate of the power battery are selected in a preset range. An internal power battery forms the recovered battery stack.
The method for recovering a power battery in an electric vehicle according to claim 6 or 7, wherein the battery model corresponding to the power battery is generated based on a historical parameter curve corresponding to the power battery.
A method of recovering a power battery in an electric vehicle according to any one of claims 6 to 8, wherein a predicted curve of the power battery is generated based on a battery model of the power battery and the historical parameter curve, and And scanning the plurality of power batteries to be recovered according to the prediction curve and historical parameter curves of the plurality of power batteries to be recovered to form a recovery battery stack.
A method of recovering a power battery in an electric vehicle according to any one of claims 6 to 9, characterized in that the recovered battery stack is used for an energy storage power station.