阅读说明：本技术 一种多源燃料电池的缩比系统工况控制方法和系统 (Method and system for controlling working condition of scaling system of multi-source fuel cell ) 是由 姚乃元 马天才 杨彦博 林维康 于 2021-07-15 设计创作，主要内容包括：本发明涉及一种多源燃料电池的缩比系统工况控制方法和系统,方法包括：获取多源燃料电池的缩比系统和对应的完整系统中燃料电池模块的个数和锂电池模块的个数,从而计算燃料电池模块的残缺比和锂电池模块残缺比；根据燃料电池模块的残缺比,分别计算缩比系统工况中燃料电池模块在稳态区的功率需求和在变载荷区的功率需求,然后相加得到缩比系统燃料电池模块的输出功率；根据锂电池模块残缺比,得到缩比系统中锂电池模块的输出功率；并与缩比系统燃料电池模块的输出功率相加,获取缩比系统工况功率曲线,从而进行工况控制。与现有技术相比,本发明提高了多源燃料电池系统测试的灵活性,降低了实验的成本,且提高了系统测试的准确性。(The invention relates to a method and a system for controlling the working condition of a scaling system of a multi-source fuel cell, wherein the method comprises the following steps: acquiring the number of fuel cell modules and the number of lithium battery modules in a scaling system of the multi-source fuel cell and a corresponding complete system, thereby calculating the defect ratio of the fuel cell modules and the defect ratio of the lithium battery modules; respectively calculating the power requirement of the fuel cell module in a steady-state area and the power requirement of the fuel cell module in a variable load area in the working condition of a scaling system according to the incomplete ratio of the fuel cell module, and then adding to obtain the output power of the fuel cell module of the scaling system; obtaining the output power of the lithium battery module in the scaling system according to the defect ratio of the lithium battery module; and adding the output power of the fuel cell module of the scaling system to obtain a working condition power curve of the scaling system so as to control the working condition. Compared with the prior art, the invention improves the flexibility of the multi-source fuel cell system test, reduces the cost of the experiment and improves the accuracy of the system test.)

1. A working condition control method of a scaling system of a multi-source fuel cell is characterized by comprising the following steps:

a data acquisition step: acquiring the number of fuel cell modules and the number of lithium battery modules in a scaling system of the multi-source fuel cell, and the number of the fuel cell modules and the number of the lithium battery modules in a corresponding complete system, thereby calculating the defect ratio of the fuel cell modules and the defect ratio of the lithium battery modules;

acquiring the working condition requirement of a steady state area: multiplying the power requirement of the steady-state area in the whole system working condition by the incomplete ratio of the fuel cell module to obtain the power requirement of the fuel cell module in the steady-state area in the scaling system working condition;

acquiring the working condition requirement of a variable load area: multiplying the power requirement of the fuel cell module in the variable load area in the full working condition of the complete system by the defect ratio of the fuel cell module to obtain the power requirement of the fuel cell module in the variable load area in the working condition of the scaling system;

an output power acquisition step of the scaling system fuel cell module: adding the power requirement of the fuel cell module in a steady-state area in the working condition of the scaling system and the power requirement of the fuel cell module in a variable load area in the working condition of the scaling system to obtain the output power of the fuel cell module of the scaling system;

the method comprises the following steps of: multiplying the total output power of the lithium battery module in the complete system by the defect ratio of the lithium battery module to obtain the output power of the lithium battery module in the scaling system;

the method comprises the following steps of: and adding the output power of the fuel cell module of the scaling system and the output power of the lithium cell module in the scaling system to obtain a working condition power curve of the scaling system, thereby controlling the working condition.

2. The method for controlling the operating condition of the scaling system of the multi-source fuel cell according to claim 1, wherein the calculation expression of the defect ratio of the fuel cell module is as follows:

α1＝n/N

in the formula, alpha 1 is the defect ratio of the fuel cell modules, N is the number of the fuel cell modules in the scaling system, and N is the number of the fuel cell modules in the complete system;

the calculation expression of the incomplete ratio of the lithium battery module is as follows:

α2＝m/M

in the formula, α 2 is the defect ratio of the lithium battery modules, M is the number of the lithium battery modules in the scaling system, and M is the number of the lithium battery modules in the complete system.

3. The method for controlling the operating condition of the scaling system of the multi-source fuel cell according to claim 2, wherein the calculation expression of the power requirement of the fuel cell module in the steady-state region in the operating condition of the scaling system is as follows:

P_constantfc＝P_{constantfc，0}×α1

in the formula, P_constantfcFor the power demand of the fuel cell module in the steady state region in the scaled system regime, P_{constantfc，0}The power requirement of a steady state area in the whole system working condition is met;

the calculation expression of the power requirement of the fuel cell module in the variable load area in the working condition of the scaling system is as follows:

P_changefc＝P_changefc，0×α1

in the formula, P_changefcPower demand of fuel cell module in variable load region for scaled system operation, P_changefc，0The power requirement of the fuel cell module in the variable load area in the whole working condition of the complete system is met;

the calculation expression of the output power of the lithium battery module in the scaling system is as follows:

P_lib＝P_lib，0×α2

in the formula, P_libFor the output power of lithium battery modules in scaled systems, P_lib，0The total output power of the lithium battery module in the complete system.

4. The method for controlling the operating condition of the multi-source fuel cell scaling system according to claim 1, wherein the data obtaining step further obtains the maximum loading rate and the maximum unloading rate of the fuel cell module in the complete system, and calculates the power requirement of the fuel cell module in the variable load area in the complete system under the full operating condition according to the maximum loading rate and the maximum unloading rate of the fuel cell.

5. The method for controlling the operating condition of the scaling system of the multi-source fuel cell according to claim 1, wherein the variable load area is P_t-P_t-1The power curve interval when not equal to 0, the steady state region is when P_t-P_t-1Power curve interval when equal to 0, where P_tPower at time t, P_t-1Is the power at time t-1.

6. A multi-source fuel cell scaling system based on the multi-source fuel cell scaling system working condition control method of claim 1, comprising a stack module, a lithium battery module, a multi-input channel energy flow allocation actuator, a load, a power supply loop and an energy flow allocation controller, wherein the load is a bidirectional load for outputting and inputting electric energy to the power supply loop, the stack module is connected with a stack input interface of the multi-input channel energy flow allocation actuator, an output interface of the multi-input channel energy flow allocation actuator is connected with the power supply loop, the lithium battery module is connected with the power supply loop, the load is connected with the power supply loop, the energy flow allocation controller is respectively connected with the power supply loop, the load and the multi-input channel energy flow allocation actuator,

the multi-input-channel energy flow allocation actuator and the power electricity supply loop are respectively used for detecting the number of the accessed galvanic pile modules and the number of the accessed lithium battery modules and transmitting feedback information to the energy flow allocation controller;

the energy flow dispatching controller is used for executing the scaling system working condition control method of the multi-source fuel cell in claim 1.

7. The multi-source fuel cell scaling system of claim 6, wherein the computed expression of the defect ratio of the fuel cell module is:

α1＝n/N

in the formula, alpha 1 is the defect ratio of the fuel cell modules, N is the number of the fuel cell modules in the scaling system, and N is the number of the fuel cell modules in the complete system;

the calculation expression of the incomplete ratio of the lithium battery module is as follows:

α2＝m/M

in the formula, α 2 is the defect ratio of the lithium battery modules, M is the number of the lithium battery modules in the scaling system, and M is the number of the lithium battery modules in the complete system.

8. The multi-source fuel cell scaling system of claim 7, wherein the computational expression of the power demand of the fuel cell module in the steady state region for the operating conditions of the scaling system is:

P_constantfc＝P_{constantfc，0}×α1

in the formula, P_constantfcFor the power demand of the fuel cell module in the steady state region in the scaled system regime, P_{constantfc，0}The power requirement of a steady state area in the whole system working condition is met;

the calculation expression of the power requirement of the fuel cell module in the variable load area in the working condition of the scaling system is as follows:

P_changefc＝P_changefc，0×α1

in the formula, P_changefcPower demand of fuel cell module in variable load region for scaled system operation, P_changefc，0The power requirement of the fuel cell module in the variable load area in the whole working condition of the complete system is met;

the calculation expression of the output power of the lithium battery module in the scaling system is as follows:

P_lib＝P_lib，0×α2

in the formula, P_libFor the output power of lithium battery modules in scaled systems, P_lib，0The total output power of the lithium battery module in the complete system.

9. The multi-source fuel cell scaling system of claim 6, wherein the data acquisition step further acquires a maximum loading rate and a maximum unloading rate of fuel cell modules in the complete system, and calculates the power requirement of the fuel cell modules in the variable load area in the complete system under all operating conditions according to the maximum loading rate and the maximum unloading rate of the fuel cells.

10. The multi-source fuel cell scaling system of claim 6, wherein the variable load zone is when P_t-P_t-1The power curve interval when not equal to 0, the steady state region is when P_t-P_t-1Power curve interval when equal to 0, where P_tPower at time t, P_t-1Is the power at time t-1.

Technical Field

The invention relates to the field of a scaling system of a multi-source fuel cell, in particular to a working condition control method and a working condition control system of the scaling system of the multi-source fuel cell.

Background

The fuel cell is a device for converting chemical energy generated by reaction of an oxidant and a reducing agent into electric energy, is clean and efficient, has various varieties and wide application scenes, and is considered as a powerful candidate for a power source in the next generation of traffic field. In order to improve the power of a fuel cell system, improve the reliability and dynamic response characteristic of the system and reduce the difficulty of arrangement of a fuel cell power system, one set of the fuel cell system usually comprises a plurality of electric pile modules and a plurality of lithium battery modules which work in a cooperative manner, the fuel cell modules bear the energy output when the required power is stable, the lithium battery modules are charged and discharged when the required power changes rapidly, the effect of flattening and cutting valleys is achieved, the problem of poor dynamic response characteristic of the fuel cell modules is solved, and the influence of frequent load change on the durability of the fuel cell modules is also reduced.

In the development and reliability testing process of the multi-module fuel cell power system, in order to save cost, reduce development period and accelerate experiment progress, some typical power source modules are selected for scale experiment before the experiment of a full-scale full-module system is carried out. However, for the scaling experiment of the multi-module system, the working conditions are designed for the whole system, and the output characteristics of the power source modules in the scaling system are different. Therefore, the experimental conditions need to be reasonably analyzed and distributed for the scaling system.

Supposing that the whole system consists of N electric piles and M lithium battery modules, the scaling system comprises N (N is more than or equal to 0 and less than N) electric pile modules and M (M is more than or equal to 0 and less than M) lithium battery modules, and N and M are not 0 at the same time; if the yielding ratio system directly operates according to the factor of N/N or M/M multiplied by the whole working condition, the load of the fuel cell module or the lithium battery module is inevitably different from the load which the fuel cell module or the lithium battery module should bear in the whole system, so that the load of the fuel cell module or the lithium battery module is increased or reduced, the holding of an experimenter on various performance parameters of the power source module is influenced, and the accuracy of an experimental result is further influenced.

Disclosure of Invention

The invention aims to overcome the defects of the prior art and provide a method and a system for controlling the operating condition of a scaling system of a multi-source fuel cell, which can reduce the load borne by each power source module in the whole system as much as possible.

Aiming at the scaling experiment of a multi-module fuel cell power system, the fuel cell module and the lithium ion battery module belong to the same power source module, but the output characteristics are different; when the original working condition is analyzed and converted, the output characteristics of two power sources need to be considered at the same time, and the load borne by the examined power source module is equivalent to the load borne under the condition that the examined power source module runs in the whole system when the working condition of the scaling system is distributed to each examined power source module.

The purpose of the invention can be realized by the following technical scheme:

a working condition control method of a scaling system of a multi-source fuel cell comprises the following steps:

a data acquisition step: acquiring the number of fuel cell modules and the number of lithium battery modules in a scaling system of the multi-source fuel cell, and the number of the fuel cell modules and the number of the lithium battery modules in a corresponding complete system, thereby calculating the defect ratio of the fuel cell modules and the defect ratio of the lithium battery modules;

acquiring the working condition requirement of a steady state area: multiplying the power requirement of the steady-state area in the whole system working condition by the incomplete ratio of the fuel cell module to obtain the power requirement of the fuel cell module in the steady-state area in the scaling system working condition;

acquiring the working condition requirement of a variable load area: multiplying the power requirement of the fuel cell module in the variable load area in the full working condition of the complete system by the defect ratio of the fuel cell module to obtain the power requirement of the fuel cell module in the variable load area in the working condition of the scaling system;

an output power acquisition step of the scaling system fuel cell module: adding the power requirement of the fuel cell module in a steady-state area in the working condition of the scaling system and the power requirement of the fuel cell module in a variable load area in the working condition of the scaling system to obtain the output power of the fuel cell module of the scaling system;

the method comprises the following steps of: multiplying the total output power of the lithium battery module in the complete system by the defect ratio of the lithium battery module to obtain the output power of the lithium battery module in the scaling system;

the method comprises the following steps of: and adding the output power of the fuel cell module of the scaling system and the output power of the lithium cell module in the scaling system to obtain a working condition power curve of the scaling system, thereby controlling the working condition.

Further, the calculation expression of the defect ratio of the fuel cell module is:

α1＝n/N

in the formula, alpha 1 is the defect ratio of the fuel cell modules, N is the number of the fuel cell modules in the scaling system, and N is the number of the fuel cell modules in the complete system;

the calculation expression of the incomplete ratio of the lithium battery module is as follows:

α2＝m/M

in the formula, α 2 is the defect ratio of the lithium battery modules, M is the number of the lithium battery modules in the scaling system, and M is the number of the lithium battery modules in the complete system.

Further, the calculation expression of the power demand of the fuel cell module in the steady state region in the operating condition of the scaling system is as follows:

P_constantfc＝P_{constantfc，0}×α1

in the formula, P_constantfcFor the power demand of the fuel cell module in the steady state region in the scaled system regime, P_constantfc,0The power requirement of a steady state area in the whole system working condition is met;

the calculation expression of the power requirement of the fuel cell module in the variable load area in the working condition of the scaling system is as follows:

P_changefc＝P_changefc,0×α1

in the formula, P_changefcFor the power of the fuel cell module in the variable load area in the condition of the scaled systemDemand, P_changefc,0The power requirement of the fuel cell module in the variable load area in the whole working condition of the complete system is met;

the calculation expression of the output power of the lithium battery module in the scaling system is as follows:

P_lib＝P_lib,0×α2

in the formula, P_libFor the output power of lithium battery modules in scaled systems, P_lib,0The total output power of the lithium battery module in the complete system.

Further, the data acquisition step also acquires the maximum loading rate and the maximum load reduction rate of the fuel cell module in the complete system, and calculates the power requirement of the fuel cell module in the variable load area in the complete system under the full working condition according to the maximum loading rate and the maximum load reduction rate of the fuel cell.

Further, the variable load area is P_t-P_t-1The power curve interval when not equal to 0, the steady state region is when P_t-P_t-1Power curve interval when equal to 0, where P_tPower at time t, P_t-1Is the power at time t-1.

The invention also provides a multi-source fuel cell scaling system based on the multi-source fuel cell scaling system working condition control method, which comprises a galvanic pile module, a lithium battery module, a multi-input channel energy flow allocation actuator, a load, a power supply loop and an energy flow allocation controller, wherein the load is a bidirectional load and is used for outputting and inputting electric energy to the power supply loop, the galvanic pile module is connected with a galvanic pile input interface of the multi-input channel energy flow allocation actuator, an output interface of the multi-input channel energy flow allocation actuator is connected with the power supply loop, the lithium battery module is connected with the power supply loop, the load is connected with the power supply loop, the energy flow allocation controller is respectively connected with the power supply loop, the load and the multi-input channel energy flow allocation actuator,

the multi-input-channel energy flow allocation actuator and the power electricity supply loop are respectively used for detecting the number of the accessed galvanic pile modules and the number of the accessed lithium battery modules and transmitting feedback information to the energy flow allocation controller;

the energy flow allocation controller is used for executing the scaling system working condition control method of the multi-source fuel cell.

Compared with the prior art, the invention has the following advantages:

the invention fully considers the working condition design criterion of the multi-module fuel cell power system during the scaling experiment, and calculates the working condition suitable for the current scaling system according to the whole system working condition, the system module parameters and the energy scheduling management strategy in a self-adaptive manner aiming at different scaling systems. The working condition can not reduce or increase the power demand born by the fuel cell module, can not reduce or increase the impact magnitude suffered by the lithium battery module due to the change of the power demand, and reduces the load born by each power source module under the whole system as much as possible. The matching of the scaling system and the scaling working condition improves the flexibility of the multi-source fuel cell system test, reduces the cost of the experiment and improves the accuracy of the system test.

Drawings

Fig. 1 is a schematic structural diagram of a scaling system of a multi-source fuel cell provided in an embodiment of the present invention;

FIG. 2 is a schematic diagram of an exemplary step-and-load condition power curve for a complete system design in accordance with an embodiment of the present invention;

FIG. 3 is a schematic view of the partitioning of the operating conditions for the complete system according to an embodiment of the present invention;

FIG. 4 is a graph of total output power of a fuel cell module in an embodiment of the invention;

FIG. 5 is a total output power curve of a lithium battery module according to an embodiment of the present invention;

FIG. 6 is a graph of the operating condition power curve of the scaling system obtained in the embodiment of the present invention;

fig. 7 is a schematic diagram of a method for controlling the operating condition of a multi-source fuel cell scaling system according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Example 1

The embodiment provides a working condition control method of a scaling system of a multi-source fuel cell, which comprises the following steps:

a data acquisition step: acquiring the number of fuel cell modules and the number of lithium battery modules in a scaling system of the multi-source fuel cell, and the number of the fuel cell modules and the number of the lithium battery modules in a corresponding complete system, thereby calculating the defect ratio of the fuel cell modules and the defect ratio of the lithium battery modules;

acquiring the working condition requirement of a steady state area: multiplying the power requirement of the steady-state area in the whole system working condition by the incomplete ratio of the fuel cell module to obtain the power requirement of the fuel cell module in the steady-state area in the scaling system working condition;

acquiring the working condition requirement of a variable load area: multiplying the power requirement of the fuel cell module in the variable load area in the full working condition of the complete system by the defect ratio of the fuel cell module to obtain the power requirement of the fuel cell module in the variable load area in the working condition of the scaling system;

an output power acquisition step of the scaling system fuel cell module: adding the power requirement of the fuel cell module in a steady-state area under the working condition of the scaling system and the power requirement of the fuel cell module in a variable load area under the working condition of the scaling system to obtain the output power of the fuel cell module of the scaling system;

the method comprises the following steps of: multiplying the total output power of the lithium battery module in the complete system by the defect ratio of the lithium battery module to obtain the output power of the lithium battery module in the scaling system;

the method comprises the following steps of: and adding the output power of the fuel cell module of the scaling system and the output power of the lithium cell module in the scaling system to obtain a working condition power curve of the scaling system, thereby controlling the working condition.

The embodiment also provides a multi-source fuel cell scaling system based on the above multi-source fuel cell scaling system working condition control method, which comprises a stack module, a lithium battery module, a multi-input channel energy flow allocation actuator, a load, a power supply loop and an energy flow allocation controller, wherein the load is a bidirectional load and is used for outputting and inputting electric energy to the power supply loop, the stack module is connected with a stack input interface of the multi-input channel energy flow allocation actuator, an output interface of the multi-input channel energy flow allocation actuator is connected with the power supply loop, the lithium battery module is connected with the power supply loop, the load is connected with the power supply loop, the energy flow allocation controller is respectively connected with the power supply loop, the load and the multi-input channel energy flow allocation actuator,

the multi-input-channel energy flow allocation actuator 3 and the power supply loop 5 are respectively used for detecting the number of the accessed galvanic pile modules and lithium battery modules and transmitting feedback information to the energy flow allocation controller;

the energy flow dispatching controller is used for executing the scaling system working condition control method of the multi-source fuel cell.

The following describes a control method for the operating conditions of a multi-source scaling system, taking a fuel cell power system comprising four fuel cell modules and two lithium cell modules and a section of operating conditions designed for the whole system as an example.

As shown in fig. 1, a multi-source fuel cell system includes a stack module 1, a lithium battery module 2, a multi-input channel energy flow allocation actuator 3, a load 4, a power supply circuit 5, and an energy flow allocation controller 6.

The components of the oxidant and reductant supply branches and cooling circuits of the fuel cell system are not critical to the present disclosure and have been omitted.

The load 4 is a bidirectional load, and can output or input electric energy to the power supply circuit 5.

The electric pile module 1 is connected with an electric pile input interface of a multi-input channel energy flow allocation actuator 3, an output interface of the multi-input channel energy flow allocation actuator 3 is connected with a power electricity supply loop 5, the lithium battery module 2 is connected with the power electricity supply loop 5, the load 4 is connected with the power electricity supply loop 5, and the energy flow allocation controller 6 is connected with the power electricity supply loop 5, the load 4 and a control information exchange port of the multi-input channel energy flow allocation actuator 3.

In the embodiment, the complete system comprises 4 fuel cell stack modules, the rated output power of the fuel cell stack modules is 60kW, and the loading and unloading rate is 1.5 kW/s; and 2 lithium battery modules with the capacity of 50kWh, wherein the maximum charge and discharge current is 1C. FIG. 2 is a typical step-change load condition for this system-wide design, including a step-up load and a step-down load.

As shown in fig. 7, the method for controlling the operating condition of the scaling system of the multi-source fuel cell provided by the embodiment includes the following steps:

s1, inputting the whole system architecture parameters, the complete assessment conditions and the performance parameters of the fuel cell module and the lithium battery module into a controller;

specifically, system parameters are input into the controller: 1. the system architecture information comprises N fuel cell modules and M lithium cell modules (N, M is a positive integer and is not 1 at the same time); 2. inputting the assessment condition of the complete system, wherein the assessment condition is a curve of the change of power along with time; 3. inputting performance parameters of the fuel cell module and the lithium battery module, wherein the performance parameters comprise a polarization curve of the fuel cell, and a loading maximum rate delta P_FCUMaximum rate of load shedding Δ P_FCDAnd the like; the maximum charge-discharge rate of the lithium battery module and the like.

S2, the controller detects the number of the fuel cell modules and the lithium battery modules in the scaling system, detects the number m of the fuel cell modules n and the lithium battery modules which are connected currently, and compares the detected number m with the set number N, M of the modules of the complete system to calculate the defect ratio alpha 1 of the fuel cell modules and the defect ratio alpha 2 of the lithium battery modules. In this embodiment, the number of the physical fuel cell modules is 1, and the total number of the physical fuel cell modules in the complete system is 4; the number of the real lithium battery modules is 1, and the complete system has 2 lithium battery modules in total, so that the defect ratio alpha 1 of the fuel battery module is 0.25, and the defect ratio alpha 2 of the lithium battery module is 0.5.

S3, the energy flow allocation controller 6 analyzes the all-condition, and divides the all-condition of the complete system into a steady-state area and a variable load area, wherein the variable load area is P_t-P_t-1The power curve interval when not equal to 0 is shown in fig. 2 and 3.

S4、P_constantfc,0Is the power requirement of the steady state region in the full operating condition, and P_constantfcFor power demand in steady state region in scaled system operating condition, energy flow dispatching controller 6 is in accordance with formula P_constantfc＝P_constantfc,0And calculating the power requirement of a steady state area in the working condition of the scaling system by the multiplied alpha 1, wherein in a steady state, only the fuel cell module outputs power to the power electricity supply loop 5, and the lithium cell module does not output power to the power electricity supply loop 5. In this example, P_constantfc＝P_constantfc,0×0.25。

S5, the energy flow adjusting controller 6 calculates the output power curve P of the fuel cell module in the variable load area according to the maximum loading speed and the maximum unloading speed of the fuel cell_changefc,0According to the formula P_changefc＝P_changefc,0And x alpha 1 calculating the power requirement of the fuel cell module in the variable load area under the condition of the scaling system. In this example, P_changefc＝P_changefc,0×0.25。

S6, the energy flow adjusting controller 6 splices the output power curves of the fuel cell modules under the scaling system of the steady-state area and the variable load area to obtain P_fcAs shown in fig. 4.

S7, calculating the total output power P of the lithium battery module by the energy flow allocation controller 6_lib,0In which P is_sysFor the total power of the whole system, the calculation formula is as follows: p_lib,0＝P_sys-P_fc. And the power requirement of the lithium battery module in the working condition of the scaling system is P_lib＝P_lib,0X α 2, in this example, P_lib＝P_lib,00.5, as shown in FIG. 5.

S8, calculating the operating mode of the scaling system by the controller, namely the sum P of the output power of the fuel cell module and the output power of the lithium battery module_sys＝P_fc+P_libAs shown in fig. 6.

And S9, after the calculation of the scaling working condition of the scaling system is completed, the energy flow allocation controller 6 communicates with the power supply circuit 5, the load 4 and the multi-input channel energy flow allocation executor 3 through the control information exchange port, and starts to execute the tested scaling working condition.

The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.