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CN108090244A - A kind of parallel type lithium ion battery system modeling method - Google Patents

A kind of parallel type lithium ion battery system modeling method Download PDF

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CN108090244A
CN108090244A CN201711082866.1A CN201711082866A CN108090244A CN 108090244 A CN108090244 A CN 108090244A CN 201711082866 A CN201711082866 A CN 201711082866A CN 108090244 A CN108090244 A CN 108090244A
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battery system
battery
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CN108090244B (en
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侍红兵
彭思敏
胥峥
袁德刚
唐华
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State Grid Jiangsu Electric Power Co Ltd
Yangcheng Institute of Technology
Yancheng Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
State Grid Corp of China SGCC
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State Grid Jiangsu Electric Power Co Ltd
Yangcheng Institute of Technology
Yancheng Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
State Grid Corp of China SGCC
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Abstract

本发明公布了一种并联型锂离子电池系统建模方法,该电池系统是由N个支路电池串通过并联而成,每个电池串由M个锂离子单体串联而得。所述方法为:根据已知锂离子电池单体模型,利用并联电路工作特性及筛选法,建立电池系统基本模型;检测各支路电流,并将其与基本模型输出总电流的1/N作为SOC校正器的输入;SOC校正器由N个比例‑积分调节器和一个加权器构成,通过SOC校正器得到电池系统SOC补偿值,再与电池系统模型输出的SOC叠加,得到校正后的SOC,从而更新电池系统基本模型,如此循环,获得精准的电池系统模型。本发明所建立的并联型锂离子电池系统模型能更准确地预测并联型电池系统的放电工作特性,其建模方法可适用于电池单体或模块并联成组方式。

The invention discloses a modeling method for a parallel lithium-ion battery system. The battery system is formed by connecting N branch battery strings in parallel, and each battery string is formed by connecting M lithium-ion monomers in series. The method is as follows: according to the known lithium-ion battery single model, using the operating characteristics of the parallel circuit and the screening method, the basic model of the battery system is established; the current of each branch is detected, and 1/N of the total output current of the basic model is used as The input of the SOC corrector; the SOC corrector is composed of N proportional-integral regulators and a weighter. The SOC compensation value of the battery system is obtained through the SOC corrector, and then superimposed with the SOC output by the battery system model to obtain the corrected SOC. In this way, the basic model of the battery system is updated, and an accurate battery system model is obtained through such a cycle. The parallel lithium-ion battery system model established by the invention can more accurately predict the discharge operating characteristics of the parallel battery system, and its modeling method is applicable to the parallel connection of battery cells or modules.

Description

一种并联型锂离子电池系统建模方法A Modeling Method for Parallel Li-ion Battery System

技术领域technical field

本发明属于智能电网中MW级电池储能系统设计与控制技术领域,涉及一种并联型锂离子电池系统建模方法。The invention belongs to the technical field of design and control of a MW-level battery energy storage system in a smart grid, and relates to a modeling method for a parallel lithium-ion battery system.

背景技术Background technique

随着新能源发电(如风电、光伏)的大规模迅速兴起,电池储能系统成为新能源发电并入电网的有效方式之一。同时,锂离子电池因其比能量高、循环寿命长、低自放电、无记忆效应等特点,已成为电池储能系统主要载体。然而,锂离子电池单体的额定容量、额定电压等不高,需要将多个电池单体经并联构成电池系统,即并联型电池系统,以提高电池系统容量及输出电流。与此同时,因电池系统中的电池单体存在不一致性,导致电池系统的工作特性更加难以被准确表征,严重制约电池系统的发展与应用。因此,建立准确的并联型电池系统模型来准确预测其工作特性,对其设计、控制及工程应用至关重要。With the large-scale and rapid rise of new energy power generation (such as wind power and photovoltaics), battery energy storage systems have become one of the effective ways for new energy power generation to be integrated into the grid. At the same time, lithium-ion batteries have become the main carrier of battery energy storage systems due to their high specific energy, long cycle life, low self-discharge, and no memory effect. However, the rated capacity and rated voltage of lithium-ion battery cells are not high, and multiple battery cells need to be connected in parallel to form a battery system, that is, a parallel battery system, in order to increase the capacity and output current of the battery system. At the same time, due to the inconsistency of the battery cells in the battery system, it is more difficult to accurately characterize the working characteristics of the battery system, which seriously restricts the development and application of the battery system. Therefore, it is very important to establish an accurate parallel battery system model to accurately predict its operating characteristics for its design, control and engineering applications.

当前,国内外关于电池建模的研究及专利多集中在电池单体方面,关于电池系统建模的文献不多,公开文献(CN105116338A)公开的一种基于SOC补偿器的并联型电池系统建模方法,其建模方法为:根据已知锂离子电池单体性能参数,利用并联电路工作特性及筛选法,建立一个电池系统均值模型,再利用各支路电池电流的实际值与均值模型支路电流进行比较来设计一个SOC补偿器,从而确定各电池单体性能参数与电池系统性能参数的数理关系,建立并联型电池系统模型。该模型考虑了电池系统中电池不一致对电池模型精度的影响,在一定程度上提高了电池系统模型精度,但仍存在以下几个问题:一是其SOC补偿器实际上是由一个比例P调节器经加权后而得,因采用比例调节器时存在自身固有的稳态误差,导致所产生的各支路的电池SOC补偿值ΔSOCm精度必然受限;二是计算参数均值模型输入量SOC*时,是直接由各补偿值ΔSOCm之和与SOC模块输出的SOCI相加而得,由此,虽然输入量SOC*包含了各支路的补偿值ΔSOCm之和,但并未考虑因每个支路中电池单体的不一致而引起各支路电流变化幅度不同,从而对相应各支路的补偿值ΔSOCm大小也不同,因此其补偿值SOC*精度也受限;三是计算参数均值模型输入量SOC*时,因引用SOC模块来获得SOCI,一方面增加的模块会增加系统成本,另一方面因采用安时法计算而得,必然存在累积误差、须已知电池初始电量等固有缺点,导致其SOC精度也受限。因此,有必要针对上述问题进一步改进SOC补偿器来提高电池系统模型精度。At present, the research and patents on battery modeling at home and abroad are mostly focused on battery cells, and there are not many documents on battery system modeling. A public document (CN105116338A) discloses a parallel battery system based on SOC compensator. method, the modeling method is: according to the known performance parameters of lithium-ion battery cells, using the parallel circuit operating characteristics and screening method to establish a battery system mean value model, and then using the actual value and mean value model branch of each branch battery current The current is compared to design a SOC compensator, so as to determine the mathematical relationship between the performance parameters of each battery cell and the performance parameters of the battery system, and establish a parallel battery system model. This model takes into account the impact of battery inconsistency in the battery system on the accuracy of the battery model, and improves the accuracy of the battery system model to a certain extent, but there are still the following problems: First, its SOC compensator is actually composed of a proportional P regulator After weighting, because of the inherent steady-state error when using the proportional regulator, the accuracy of the battery SOC compensation value ΔSOC m generated by each branch must be limited; the second is to calculate the parameter mean model input amount SOC * , is directly obtained by adding the sum of each compensation value ΔSOC m to the SOC I output by the SOC module. Therefore, although the input quantity SOC * includes the sum of the compensation values ΔSOC m of each branch, it does not take into account the The inconsistency of the battery cells in each branch causes the current variation range of each branch to be different, so that the compensation value ΔSOC m of each branch is also different, so the accuracy of the compensation value SOC * is also limited; the third is to calculate the mean value of the parameters When the model input SOC * , because the SOC module is used to obtain SOC I , on the one hand, the additional modules will increase the system cost, and on the other hand, because it is calculated by the ampere-hour method, there must be cumulative errors, and the initial battery power must be known, etc. Inherent disadvantages lead to limited SOC accuracy. Therefore, it is necessary to further improve the SOC compensator to improve the accuracy of the battery system model.

发明内容Contents of the invention

本发明解决的问题是在于提供一种并联型锂离子电池系统建模方法,一方面,解决了并联型电池系统中因各支路中的电池单体不一致而导致其电池性能参数(如电压、电流等)及充放电特性难以被准确测量、估算的问题,另一方面,也改进了相关已公开的SOC补偿器中存在的稳态误差、未考虑各支路中电池单体不一致性的程度以及系统成本增加的问题,达到准确预测并联型电池系统的端电压和SOC的目的。The problem to be solved by the present invention is to provide a method for modeling a parallel lithium-ion battery system. On the one hand, it solves the problem of battery performance parameters (such as voltage, Current, etc.) and charging and discharging characteristics are difficult to be accurately measured and estimated. On the other hand, it also improves the steady-state error existing in the relevant disclosed SOC compensator and does not consider the degree of inconsistency of the battery cells in each branch. As well as the problem of increased system cost, the purpose of accurately predicting the terminal voltage and SOC of the parallel battery system is achieved.

本发明目的是通过以下技术方案来实现:The object of the invention is to realize through the following technical solutions:

本发明提供一种并联型锂离子电池系统,该系统由N个支路电池串组成,每个支路电池串由M个锂离子电池单体通过串联而成,其结构图如图1所示。The present invention provides a parallel lithium-ion battery system. The system is composed of N branch battery strings, and each branch battery string is formed by connecting M lithium-ion battery cells in series. Its structure diagram is shown in Figure 1 .

一种并联型锂离子电池系统建模方法如下:根据已知锂离子电池单体模型(1),利用并联电路工作特性及筛选法,建立一个电池系统基本模型(2),再检测各支路电池电流,分别将各支路电池串电流、电池系统基本模型输出总电流的1/N作为荷电状态(State ofCharge,SOC)校正器(3)的输入,SOC校正器由N个比例-积分(PI)调节器和一个加权器构成,通过N个PI调节器得到N个支路电池串的SOC补偿值(ΔSOCi),各支路电池串的SOC补偿值经过加权后得到电池系统的SOC补偿值(ΔSOCb),再与电池系统基本模型输出的SOCb叠加,得到校正后的SOCr,从而更新电池系统性能参数,进而更新电池系统基本模型,如此循环,获得精准的电池系统模型。图2为并联型锂离子电池系统模型结构图。A parallel lithium-ion battery system modeling method is as follows: According to the known lithium-ion battery single model (1), using the parallel circuit operating characteristics and screening method, a basic model of the battery system (2) is established, and then each branch circuit is detected Battery current, each branch battery string current and 1/N of the total output current of the basic model of the battery system are used as the input of the State of Charge (SOC) calibrator (3), and the SOC calibrator consists of N proportional-integral (PI) regulator and a weighting device, the SOC compensation value (ΔSOC i ) of N branch battery strings is obtained through N PI regulators, and the SOC compensation value of each branch battery string is weighted to obtain the SOC of the battery system The compensation value (ΔSOC b ) is superimposed with the SOC b output by the basic model of the battery system to obtain the corrected SOC r , thereby updating the performance parameters of the battery system, and then updating the basic model of the battery system. In this way, an accurate battery system model is obtained. Figure 2 is a structural diagram of a parallel lithium-ion battery system model.

所述电池单体等效电路模型为二阶等效电路模型,其电路图如图3所示,模型主电路由2个RC并联电路、受控电压源U0(SOC)及电池内阻R等组成,其数学表达式为:U(t)=U0[SOC(t)]-I(t)[R(t)+Rs(t)/Rs(t)jωCs(t)+Rl(t)/Rl(t)jωCl(t)],其中,U0(SOC)为电池单体开路端电压,R(t)为电池单体内阻,Rs(t)、Rl(t)和Cs(t)、Cl(t)分别为描述电池单体暂态响应特性的电阻、电容,以上性能参数均与SOC相关,SOC的定义为:其中,SOC0为电池单体SOC初始值,一般为0~1的常数;Qu(t)为电池单体不可用容量,Q0为电池单体额定容量。U0(SOC)、Rs(t)、Rl(t)和Cs(t)、Cl(t)的计算分别如下:The equivalent circuit model of the battery cell is a second-order equivalent circuit model, and its circuit diagram is shown in Figure 3. The main circuit of the model consists of two RC parallel circuits, a controlled voltage source U 0 (SOC) and a battery internal resistance R, etc. Composition, its mathematical expression is: U(t)=U 0 [SOC(t)]-I(t)[R(t)+R s (t)/R s (t)jωC s (t)+R l (t)/R l (t)jωC l (t)], where U 0 (SOC) is the open circuit terminal voltage of the battery cell, R(t) is the internal resistance of the battery cell, R s (t), R l (t), C s (t), and C l (t) are the resistance and capacitance describing the transient response characteristics of the battery cell, respectively. The above performance parameters are related to SOC, and the definition of SOC is: Among them, SOC 0 is the initial value of the SOC of the battery cell, which is generally a constant between 0 and 1; Qu (t) is the unusable capacity of the battery cell, and Q 0 is the rated capacity of the battery cell. The calculations of U 0 (SOC), R s (t), R l (t) and C s (t), C l (t) are as follows:

其中,a0~a5、c0~c2、d0~d2、e0~e2、f0~f2、b0~b5均为模型系数,可由电池测量数据经拟合而得。 Among them, a 0 ~ a 5 , c 0 ~ c 2 , d 0 ~ d 2 , e 0 ~ e 2 , f 0 ~ f 2 , b 0 ~ b 5 are all model coefficients, which can be obtained by fitting the battery measurement data have to.

所建立并联型电池系统基本模型为二阶等效电路模型,其电路图如图4所示。由基尔霍夫定律KVC得电池模型表达式为:U(t)=Ub0[SOC(t)]-Ib(t)Zb(t)。利用并联电路工作特性及筛选法确定各电池单体性能参数与电池系统性能参数的基本模型确定如下:基本模型中电池系统的开路端电压计算如下:Ub0(SOC)=MU0(SOC),其中,U0(SOC)为电池单体开路端电压;基本模型中电池系统的阻抗计算如下:其中,Rb(t)为电池系统内阻,Rbs(t)、Rbl(t)和Cbs(t)、Cbl(t)分别为描述电池系统暂态响应特性的电阻、电容。基本模型中Rbs(t)、Rbl(t)和Cbs(t)、Cbl(t)的计算分别如下: The basic model of the parallel battery system established is a second-order equivalent circuit model, and its circuit diagram is shown in Figure 4. The battery model expression obtained by Kirchhoff's law KVC is: U(t)= Ub0 [SOC(t)]- Ib (t) Zb (t). The basic model for determining the performance parameters of each battery cell and the battery system by using the operating characteristics of the parallel circuit and the screening method is determined as follows: the open-circuit terminal voltage of the battery system in the basic model is calculated as follows: U b0 (SOC) = MU 0 (SOC), Among them, U 0 (SOC) is the open-circuit terminal voltage of the battery cell; the impedance of the battery system in the basic model is calculated as follows: Among them, R b (t) is the internal resistance of the battery system, R bs (t), R bl (t) and C bs (t), C bl (t) are the resistance and capacitance describing the transient response characteristics of the battery system, respectively. The calculations of R bs (t), R bl (t) and C bs (t), C bl (t) in the basic model are as follows:

其特征在于所述的SOC校正器设计如下:SOC校正器由N个PI调节器和一个加权器构成,每个PI调节器的2个输入分别为第i个支路电池串输出电流Ii和电池模型输出总流Ib的1/N;通过各PI调节器后得到N个支路电池串的SOC补偿值ΔSOCi,即式中,kP为比例常数,kI为比例常数,s为积分因子,i为大于1的自然数;再经加权器后得到电池系统SOC补偿值ΔSOCb,即式中,ki为加权系数。It is characterized in that the design of the SOC corrector is as follows: the SOC corrector is composed of N PI regulators and a weighter, and the two inputs of each PI regulator are respectively the i-th branch battery string output current I i and 1/N of the total current I b output by the battery model; the SOC compensation value ΔSOC i of N branch battery strings is obtained after passing through each PI regulator, namely In the formula, k P is a proportional constant, k I is a proportional constant, s is an integral factor, and i is a natural number greater than 1; then the battery system SOC compensation value ΔSOC b is obtained after passing through the weighter, namely In the formula, ki is the weighting coefficient.

最后将补偿值ΔSOCb与电池系统基本模型输出的SOCb相加后,作为基本模型新的输入量SOCr,从而更新电池系统性能参数,进而更新电池系统基本模型,如此循环,获得精准的电池系统模型。Finally, add the compensation value ΔSOC b to the SOC b output by the basic model of the battery system, and use it as the new input SOC r of the basic model to update the performance parameters of the battery system, and then update the basic model of the battery system. system model.

与公开文献(CN105116338A)相比,本发明具有以下有益的技术效果:一是用PI调节器代替P调节器,消除了稳态误差;二是利用加权器代替直接由各支路SOC补偿值简单相加来计算电池系统SOC补偿值ΔSOCb;三是忽略SOC模块而直接由电流系统模型输出的SOC估计值SOCb替代。因此,在整个放电过程,本发明所提的电池系统等效电路模型能更准确地预测电池系统的端电压变化情况,表明其模型精度更高。Compared with the public document (CN105116338A), the present invention has the following beneficial technical effects: one is to replace the P regulator with the PI regulator, which eliminates the steady-state error; Add them together to calculate the battery system SOC compensation value ΔSOC b ; the third is to ignore the SOC module and directly replace it with the SOC estimated value SOC b output by the current system model. Therefore, during the entire discharge process, the equivalent circuit model of the battery system proposed by the present invention can more accurately predict the change of the terminal voltage of the battery system, indicating that the model has higher precision.

附图说明Description of drawings

图1为并联型锂离子电池系统结构示意图;Figure 1 is a schematic structural diagram of a parallel lithium-ion battery system;

图2为并联型锂离子电池系统模型结构图;Figure 2 is a structural diagram of a parallel lithium-ion battery system model;

图3为锂离子电池单体等效电路模型图;Fig. 3 is the equivalent circuit model diagram of a lithium-ion battery cell;

图4为并联型锂离子电池系统等效电路模型图;Fig. 4 is an equivalent circuit model diagram of a parallel lithium-ion battery system;

图5-1~图5-2为SOC0不同情况电池脉冲放电特性,其中图5-1为各支路电流变化情况,图5-2为并联型电池系统端电压校正前后对比情况。Figure 5-1 to Figure 5-2 show the pulse discharge characteristics of batteries under different SOC 0 conditions, where Figure 5-1 shows the current change of each branch, and Figure 5-2 shows the comparison of the parallel battery system terminal voltage before and after correction.

具体实施方式Detailed ways

下面结合具体的实例对本发明作进一步的详细说明,所述为对本发明的解释而不是限定。The present invention will be further described in detail below in conjunction with specific examples, which are for explanation of the present invention rather than limitation.

1、并联型电池系统及电池单体模型1. Parallel battery system and battery cell model

1.1并联型电池系统1.1 Parallel battery system

并联型电池系统是由2个电池串通过并联而成,每个电池串由1个电池单体构成,每个电池单体的额定电压为3.7V,额定容量为860mAh,放电截止电压为3V。The parallel battery system is formed by connecting two battery strings in parallel. Each battery string is composed of one battery cell. The rated voltage of each battery cell is 3.7V, the rated capacity is 860mAh, and the discharge cut-off voltage is 3V.

1.2电池单体等效电路模型1.2 Equivalent circuit model of battery cell

电池单体等效电路模型为二阶等效电路模型,模型主电路由2个RC并联电路、受控电压源U0(SOC)及电池内阻R等组成,数学模型表达式为:U(t)=U0[SOC(t)]-I(t)[R(t)+Rs(t)/Rs(t)jωCs(t)+Rl(t)/Rl(t)jωCl(t)],式中,U0(SOC)、Rs(t)、Rl(t)和Cs(t)、Cl(t)的计算分别如下: 其中,a0~a5取值分别为-0.915、-40.867、3.632、0.537、-0.499、0.522,c0~c2取值分别为0.1063、-62.49、0.0437,d0~d2取值分别为-200、-138、300,e0~e2取值分别为0.0712、-61.4、0.0288,f0~f2取值分别为-3083、-180、5088,b0~b5取值分别为-0.1463、-30.27、0.1037、0.0584、0.1747、0.1288。The equivalent circuit model of a battery cell is a second-order equivalent circuit model. The main circuit of the model is composed of two RC parallel circuits, a controlled voltage source U 0 (SOC) and a battery internal resistance R. The mathematical model expression is: U( t)=U 0 [SOC(t)]-I(t)[R(t)+R s (t)/R s (t)jωC s (t)+R l (t)/R l (t) jωC l (t)], where the calculations of U 0 (SOC), R s (t), R l (t) and C s (t), C l (t) are as follows: Among them, the values of a 0 ~ a 5 are -0.915, -40.867, 3.632, 0.537, -0.499, 0.522 respectively, the values of c 0 ~ c 2 are 0.1063, -62.49, 0.0437 respectively, and the values of d 0 ~ d 2 are respectively are -200, -138, 300, the values of e 0 ~ e 2 are 0.0712, -61.4, 0.0288 respectively, the values of f 0 ~ f 2 are -3083, -180, 5088 respectively, and the values of b 0 ~ b 5 are respectively are -0.1463, -30.27, 0.1037, 0.0584, 0.1747, 0.1288.

2、并联型锂离子电池系统等效电路模型2. Equivalent circuit model of parallel lithium-ion battery system

所建立并联型锂离子电池系统基本模型为二阶等效电路模型。根据基尔霍夫定律KVC得电池模型表达式为:U(t)=Ub0[SOC(t)]-Ib(t)Zb(t)。利用并联电路工作特性及筛选法确定各电池单体性能参数与电池系统性能参数的基本模型确定如下:基本模型中电池系统的开路端电压计算如下:其中,U0i(SOC)表示第i个电池单体开路端电压;基本模型中电池系统的阻抗计算如下:其中,Rbs(t)、Rbl(t)和Cbs(t)、Cbl(t)的计算分别如下:The basic model of the parallel lithium-ion battery system established is a second-order equivalent circuit model. According to Kirchhoff's law KVC, the battery model expression is: U(t)= Ub0 [SOC(t)]- Ib (t) Zb (t). The basic model for determining the performance parameters of each battery cell and the battery system by using the operating characteristics of the parallel circuit and the screening method is determined as follows: the open-circuit terminal voltage of the battery system in the basic model is calculated as follows: Among them, U 0i (SOC) represents the open-circuit terminal voltage of the i-th battery cell; the impedance of the battery system in the basic model is calculated as follows: Among them, the calculations of R bs (t), R bl (t) and C bs (t), C bl (t) are as follows:

所述的SOC校正器设计如下:SOC校正器由2个PI调节器和一个加权器构成,每个PI调节器的2个输入分别为第i个支路电池串输出电流Ii和电池模型输出总流Ib的1/2;通过各PI调节器后得到2个支路电池串的SOC补偿值ΔSOCi,即式中,kP为比例常数,kI为比例常数,s为积分因子,i为大于1的自然数;再经加权器后得到电池系统SOC补偿值ΔSOCb,即式中,ki为加权系数。The design of the SOC corrector is as follows: the SOC corrector is composed of two PI regulators and a weighter, and the two inputs of each PI regulator are respectively the i-th branch battery string output current I i and the battery model output 1/2 of the total current I b ; after passing through each PI regulator, the SOC compensation value ΔSOC i of the two branch battery strings is obtained, namely In the formula, k P is a proportional constant, k I is a proportional constant, s is an integral factor, and i is a natural number greater than 1; then the battery system SOC compensation value ΔSOC b is obtained after passing through the weighter, namely In the formula, ki is the weighting coefficient.

最后将补偿值ΔSOCb与电池系统基本模型输出的SOCb相加后,作为基本模型新的输入量SOCr,以更新从而更新电池系统性能参数,进而更新电池系统基本模型。Finally, add the compensation value ΔSOC b to the SOC b output by the basic model of the battery system, and use it as the new input SOC r of the basic model to update the performance parameters of the battery system, and then update the basic model of the battery system.

3、模型仿真结果及效果对比3. Model simulation results and effect comparison

为验证所发明模型的准确性,将本发明所提的电池系统模型(校正前)与公开文献(CN105116338A)所建立的电池系统模型(校正后)进行对比分析,仿真试验为脉冲工况,脉冲放电时负载电流变化为:开始时刻以0.8A恒流工作600s,之后静置600s后,再以0.8A恒流工作600s,如此循环。初始时刻,3个电池单体的初始容量均不相等,即SOC的初始并不相同,分别为1、0.95、0.9。In order to verify the accuracy of the invented model, the battery system model (before correction) proposed by the present invention is compared with the battery system model (after correction) established by the public document (CN105116338A). The simulation test is a pulse working condition, and the pulse The change of load current during discharge is as follows: work at 0.8A constant current for 600s at the beginning, after standing still for 600s, then work at 0.8A constant current for 600s, and so on. At the initial moment, the initial capacities of the three battery cells are not equal, that is, the initial SOCs are not the same, which are 1, 0.95, and 0.9, respectively.

图5为SOC0不同情况电池脉冲放电特性,其中图5-1为各支路电流变化情况,图5-2为并联型电池系统端电压校正前后对比。由图5-1可知,当支路1、支路2电路串中电池单体的SOC0分别为1、0.9时,在放电初期,支路1放电电流比支路2放电电流大,随着放电过程的进行,最终两个支路的放电电流几乎相等。由图5-2可知,整个放电过程中,校正后的仿真结果(实线)比校正前的仿真结果(虚线)更逼近参考值,从而表明所建立的电池模型能更准确地预测并联型锂离子电池系统的工作特性。Figure 5 shows the pulse discharge characteristics of batteries under different conditions of SOC 0 , where Figure 5-1 shows the current change of each branch, and Figure 5-2 shows the comparison before and after correction of the terminal voltage of the parallel battery system. It can be seen from Figure 5-1 that when the SOC 0 of the battery cells in the circuit strings of branch 1 and branch 2 are 1 and 0.9 respectively, at the initial stage of discharge, the discharge current of branch 1 is larger than that of branch 2. As the discharge process proceeds, the discharge currents of the two branches are almost equal in the end. It can be seen from Figure 5-2 that during the entire discharge process, the corrected simulation results (solid line) are closer to the reference value than the uncorrected simulation results (dotted line), which shows that the established battery model can more accurately predict the parallel lithium battery. Operating characteristics of ion battery systems.

最后应该说明的是,结合上述实施例仅说明本发明的技术方案而非对其限制。所属领域的普通技术人员应当理解到,本领域技术人员可以对本发明的具体实施方式进行修改或者等同替换,但这些修改或变更均在申请待批的权利要求保护范围之中。Finally, it should be noted that the combination of the above embodiments only illustrates the technical solution of the present invention rather than limiting it. Those of ordinary skill in the art should understand that those skilled in the art can modify or equivalently replace the specific embodiments of the present invention, but these modifications or changes are within the protection scope of the pending claims.

Claims (3)

1. The parallel lithium ion battery system modeling method is characterized by specifically comprising the following steps of:
step (1): establishing a basic model of a parallel battery system by utilizing the working characteristics of a parallel circuit and a screening method according to a known lithium ion battery monomer model;
step (2): the SOC corrector is formed by N proportional-integral PI regulators and a weighting device;
and (3): detecting the current of each branch battery string, and taking the current of each branch battery string and 1/N of the total current output by the basic model of the battery system as the input of the SOC corrector;
and (4): obtaining SOC compensation values delta SOC of the battery strings of the N branch circuits through N PI regulators in the SOC correctori
And (5): SOC compensation value delta SOC of each branch battery stringiObtaining the SOC compensation value delta SOC of the battery system after weightingb
And (6): compensating the SOC of the battery system by the SOC compensation value delta SOCbSOC from output of basic model of battery systembSuperposing to obtain corrected SOCr
And (7): according to the corrected SOCrAnd updating the performance parameters of the battery system, further updating the basic model of the battery system, and repeating the steps to obtain an accurate battery system model.
2. The modeling method of the parallel lithium ion battery system according to claim 1, wherein the basic model of the parallel lithium ion battery system is a controlled voltage source U comprising 2 RC parallel circuitsb0(SOC) and internal resistance R of batterybThe second-order equivalent circuit model of which kirchhoff's law KVC expression is U (t) ═ Ub0[SOC(t)]-Ib(t)Zb(t) open end voltage calculation formula is Ub0(SOC)=MU0(SOC) in which U0(SOC) is cell open terminal voltage; the impedance is calculated by the formulaWherein R isb(t) is the internal resistance of the battery system, Rbs(t)、Rbl(t) and Cbs(t)、Cbl(t) resistance and capacitance describing transient response characteristics of the battery system respectively; rbs(t)、Rbl(t) and Cbs(t)、CblThe formula for calculation of (t) is: wherein, c0~c2、d0~d2、e0~e2、f0~f2all are model coefficients, which are obtained by fitting the battery measurement data;SOC0the initial value of SOC of the battery cell is a constant of 0-1, Qu(t) is the cell's unusable capacity, Q0The rated capacity of the battery cell.
3. The modeling method of a parallel lithium ion battery system according to claim 2, wherein the SOC corrector is designed as follows: the SOC corrector is composed of N PI regulators and a weighting device, wherein 2 inputs of each PI regulator are respectively the output current I of the ith branch battery stringiAnd total output flow I of battery modelb1/N of (1); obtaining SOC compensation values delta SOC of the battery strings of the N branches after passing through each PI regulatoriI.e. byIn the formula, kP、kIIs a proportionality constant, s is an integral factor, and i is a natural number greater than 1; obtaining the SOC compensation value delta SOC of the battery system after the weighting devicebI.e. byIn the formula, kiAre weighting coefficients.
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