CN113263960B - Self-adaptive energy management method for hydrogen fuel cell automobile - Google Patents
Self-adaptive energy management method for hydrogen fuel cell automobile Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/40—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for controlling a combination of batteries and fuel cells
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/40—Application of hydrogen technology to transportation, e.g. using fuel cells
Abstract
The invention discloses a self-adaptive energy management method for a hydrogen fuel cell automobile, which comprises the steps of obtaining preset parameters, and constructing a hybrid power system model of the hydrogen fuel cell automobile based on the preset parameters; acquiring the required power of a whole vehicle of a preset vehicle type under a typical working condition through a hybrid power system model, converting the required power of the whole vehicle by adopting a self-adaptive low-pass filter, and acquiring a control instruction of self-adaptive energy distribution of a hydrogen fuel cell vehicle based on the converted required power of the whole vehicle and the charge state data of a power cell; and respectively controlling and managing the working states of the hydrogen fuel cell system and the power cell system based on the control command. When determining the relevant parameters of the energy management method, the invention ensures the dynamic property and fuel economy of the hydrogen fuel cell automobile by taking the required power characteristic of the whole automobile as the basis, so that the formulation of the energy management method is more reasonable, and the service lives of the hydrogen fuel cell and the power cell can be prolonged.
Description
Technical Field
The invention belongs to the technical field of hydrogen fuel cell automobiles, and particularly relates to a self-adaptive energy management method for a hydrogen fuel cell automobile.
Background
At present, a hybrid power system structure that the hydrogen fuel cell and the power battery jointly supply power to the driving motor is generally adopted by the hydrogen fuel cell automobile. Due to the existence of multiple energy sources, the hydrogen fuel cell automobile needs a reasonable and effective energy management method to control and manage the power required by the whole automobile.
The energy management method for the hydrogen fuel cell vehicle mainly comprises a rule-based energy management method and an optimization-based energy management method, wherein the rule-based energy management method mainly comprises power following, fuzzy logic control and the like, and when the rule-based energy management method is adopted, a hydrogen fuel cell system and a power cell can normally operate in a proper working range, but the output power of the hydrogen fuel cell system frequently fluctuates along with the change of the required power of the whole vehicle, so that the hydrogen fuel cell is easily impacted, and the performance of the hydrogen fuel cell is degraded and even damaged; the energy management method based on optimization converts the energy management problem of the hydrogen fuel cell automobile into the optimization problem, and the output power of the hydrogen fuel cell system and the power battery is controlled to enable certain performances of the whole automobile to be optimal.
Disclosure of Invention
In order to solve the defects of slow power output dynamic response and long starting time of the hydrogen fuel cell, the invention aims to provide a self-adaptive energy management method of a hydrogen fuel cell automobile, which reasonably distributes the energy of the hydrogen fuel cell automobile, ensures that the hydrogen fuel cell works in a high-efficiency interval, keeps the SOC of a power battery in a proper range, reduces the fluctuation of the output power of a hydrogen fuel cell system, and prolongs the service lives of the hydrogen fuel cell and the power battery while ensuring the power performance and the fuel economy of the whole automobile.
In order to achieve the purpose, the invention provides the following scheme: the invention discloses a self-adaptive energy management method of a hydrogen fuel cell automobile, which comprises the following steps:
acquiring preset parameters, and constructing a hybrid power system model of the hydrogen fuel cell automobile based on the preset parameters;
acquiring the required power of the whole vehicle through the hybrid power system model, converting the required power of the whole vehicle by adopting a self-adaptive low-pass filter, and acquiring a control instruction of self-adaptive energy distribution of the hydrogen fuel cell vehicle based on the converted required power of the whole vehicle and the charge state data of the power cell;
and respectively controlling and managing the working states of the hydrogen fuel cell system and the power battery system based on the control instruction of the self-adaptive energy distribution of the hydrogen fuel cell automobile.
Preferably, the preset parameters include: the method comprises the following steps of working efficiency of a hydrogen fuel cell system, a low heat value of hydrogen, a sampling value of output power of the hydrogen fuel cell system, capacity of a power battery, output voltage and current of the power battery, open-circuit voltage and internal resistance of the power battery, and initial charge state data of the power battery.
Preferably, the hybrid system model includes: the system comprises a hydrogen fuel cell system model and a power cell circuit model, wherein the hydrogen fuel cell system model is used for acquiring the output power of the hydrogen fuel cell system, and the power cell circuit model is used for acquiring the output power of the power cell system and the charge state data of the power cell.
Preferably, the method for acquiring the control instruction of the hydrogen fuel cell automobile adaptive energy distribution comprises the following steps:
calculating theoretical finished automobile required power by adopting an automobile power balance formula, and acquiring the time domain characteristic of the theoretical finished automobile required power based on the theoretical finished automobile required power;
acquiring the frequency domain characteristic of the theoretical whole vehicle required power by adopting a fast Fourier transform method based on the time domain characteristic;
adopting a fuzzy controller and a low-pass filter to construct a self-adaptive low-pass filter, and converting the required power of the whole vehicle through the self-adaptive low-pass filter; wherein a cut-off frequency of the low-pass filter is determined by the frequency domain characteristic and the fuzzy controller;
acquiring control instructions for the hydrogen fuel cell system and the power cell system based on the converted power demand of the whole vehicle and the state of charge data of the power cell, wherein the control instructions comprise: the control instruction for opening or closing the hydrogen fuel cell system also comprises a control instruction for adjusting the output power of the hydrogen fuel cell system and the output power of the power cell system.
Preferably, the transfer function l(s) of the low-pass filter is expressed by:
wherein T is a time constant, s is a Laplace operator, f c For the cut-off frequency, the cut-off frequency f is set by the fuzzy controller c Output to the low pass filter.
Preferably, the mode of the adaptive energy management method for controlling and managing the overall vehicle power of the hydrogen fuel cell vehicle comprises:
the first mode is as follows: when the required power of the whole vehicle is greater than 0; calculating the output power of the hydrogen fuel cell system and the output power of the power cell system based on the required power of the whole vehicle and the charge state data of the power cell;
and a second mode: when the required power of the whole vehicle is equal to 0; acquiring the working states of the hydrogen fuel cell system and the power cell system based on a first preset threshold of the power cell state of charge data;
and a third mode: when the required power of the whole vehicle is less than 0; acquiring the working states of the hydrogen fuel cell system and the power cell system based on a second preset threshold of the power cell state of charge data; wherein the second preset threshold is greater than the first preset threshold.
Preferably, the control management method of the mode one is as follows:
inputting the required power of the whole vehicle and the current state of charge data of the power battery into the fuzzy controller to obtain the cut-off frequency; based on the cut-off frequency, the required power of the whole vehicle is converted through the low-pass filter; and determining the working state of the hydrogen fuel cell system and obtaining the output power of the hydrogen fuel cell system and the output power of the power cell system based on the converted finished automobile required power and the power cell state of charge data.
Preferably, the control management method of the mode two includes:
if the charge state data of the power battery is smaller than the first preset threshold, the power battery is charged through the hydrogen fuel cell system, and the charging power P is bp The expression of (a) is:
in the formula, P ch Is the charge-discharge coefficient, P, of the power battery bp For charging power, SOC is the current state of charge, SOC, of the power battery min A first preset threshold value for the charging state of the power battery; SOC (system on chip) max A second preset threshold value for the charging state of the power battery;
and if the state of charge data of the power battery is greater than or equal to the first preset threshold, neither the hydrogen fuel battery system nor the power battery system works.
Preferably, the control management method of the mode three is as follows:
if the state of charge data of the power battery is smaller than the second preset threshold value, the power battery system absorbs the power required by the whole vehicle;
and if the state of charge data of the power battery is larger than or equal to the second preset threshold, the hydrogen fuel battery system and the power battery system do not work.
The invention discloses the following technical effects:
(1) the invention combines the fuzzy controller, the low-pass filter and the logic rule, ensures that the hydrogen fuel cell works in a high-efficiency region, keeps the SOC of the power cell in a proper range, reduces the fluctuation of the output power of the hydrogen fuel cell system, ensures the dynamic property and the fuel economy of a hydrogen fuel cell automobile, and prolongs the service lives of the hydrogen fuel cell and the power cell.
(2) The output power of the hydrogen fuel cell system and the output power of the power battery are adjusted in real time through the required power of the whole vehicle and the charge state of the power battery, and the real-time performance is good.
(3) When the relevant parameters of the energy management method are determined, the required power characteristics of the whole vehicle under the typical working conditions of the corresponding vehicle type are taken as the basis, the actual running condition of the vehicle is more approximate, and the establishment of the energy management method is more reasonable.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a method for constructing an adaptive energy management system for a hydrogen fuel cell vehicle according to the present invention;
FIG. 2 is a block diagram of a hybrid power system of a hydrogen fuel cell vehicle to which the present invention is applied;
FIG. 3 is a flow chart of the adaptive energy management based on low-pass filtering according to the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Referring to fig. 1-2, in this embodiment, a hybrid power system structure is provided, in which a high-power hydrogen fuel cell heavy truck is taken as an example, a hydrogen fuel cell system is taken as a main energy source, a power cell is taken as an auxiliary energy source, and the two are connected in parallel to jointly supply power to a driving motor, and the method for self-adaptive energy management of a hydrogen fuel cell vehicle includes the following steps:
s1, acquiring preset parameters and establishing a hybrid power system model; the method specifically comprises the following steps:
s1.1, establishing a hydrogen fuel cell system model;
firstly, parameters such as the working efficiency of a hydrogen fuel cell system, the low heat value of hydrogen, the sampling value of the output power of the hydrogen fuel cell system and the like in preset parameters are obtained, and a hydrogen consumption model and hydrogen combustion are respectively obtained according to the parametersFluctuation degree model of output power of material battery system, hydrogen consumption model C fc The calculation formula of (A) is as follows:
in the formula, C fc The hydrogen consumption quality; p is fc Outputting power for the fuel cell; eta fc To the hydrogen fuel cell system operating efficiency; q. q.s H2 Is the lower heating value of hydrogen.
Fluctuation degree model V of output power of hydrogen fuel cell system r The expression of (a) is:
V r the output power fluctuation degree is used for evaluating the fluctuation degree of the output power of the hydrogen fuel cell system; p i+1 And P i Sampling values of output power of the hydrogen fuel cell system at the moment i +1 and the moment i respectively; t represents a sampling period, and T is taken to be 1 s; and N is the number of sampling points.
And then, calculating by adopting the formulas (1) and (2) according to the power required by the whole vehicle for the hydrogen fuel cell system to obtain the hydrogen consumption quality and the output power of the hydrogen fuel cell system.
S1.2, establishing a power battery circuit model;
firstly, parameters such as power battery capacity, power battery output voltage and current, power battery open circuit voltage and internal resistance, power battery initial state of charge data and the like in preset parameters are obtained, and a power battery circuit model P is obtained according to the parameters bat The calculation formula of SOC is:
P bat ＝U bat I bat ＝V oc I bat -I bat 2 R bat (3)
in the formula of U bat And I bat Respectively outputting voltage and current for the power battery, wherein the power battery outputs voltage U bat ＝V oc -I bat R bat Output current of power battery
V oc And R bat Respectively the open-circuit voltage and the internal resistance, P, of the power battery bat For power battery output power, SOC 0 The initial state of charge data of the power battery, SOC is the current state of charge data of the power battery, and Q is the capacity of the power battery.
And then, calculating to obtain the output power of the power battery and the current charge state data of the power battery by adopting the formulas (2) and (3) according to the required power of the whole vehicle to the power battery and the initial charge state data of the power battery.
S1.3, fitting the hydrogen consumption model of the hydrogen fuel cell system and the power cell circuit model to obtain a calculation formula P of a hybrid power system model re Comprises the following steps:
P re ＝P fc +P bat (5)
in the formula, P re For the power demand of the entire vehicle, P fc Output power, P, for a hydrogen fuel cell system bat For the output power of the power battery system, the required power of the whole vehicle is obtained through a hybrid power system model, and the structure of the hybrid power system of the embodiment is as shown in fig. 2.
S2, acquiring the required power of the whole vehicle of a preset vehicle type under a typical working condition through the hybrid power system model, converting the required power of the whole vehicle by adopting a self-adaptive low-pass filter, and acquiring a control instruction of self-adaptive energy distribution of the hydrogen fuel cell vehicle based on the converted required power of the whole vehicle and the charge state data of the power cell; the method specifically comprises the following steps:
s2.1, determining a corresponding vehicle type typical working condition according to the running working condition of the GB/T38146 Chinese vehicle, calculating theoretical finished vehicle required power under the working condition by using a vehicle power balance formula, and simultaneously calculating the theoretical finished vehicle required power along with the theoretical finished vehicle required powerAnalyzing the time variation condition to obtain the time domain characteristic and the theoretical whole vehicle required power calculation formula P lre The expression is as follows:
in the formula, P lre In order to theoretically demand power of the whole vehicle, m is the full load mass of the whole vehicle, g is the gravity acceleration, f is the rolling resistance coefficient, C d Is an air resistance coefficient, A is the windward area, u is the current vehicle speed, delta is a rotating mass conversion coefficient,
is the current acceleration;
s2.2, acquiring the frequency domain characteristic of the theoretical whole vehicle required power by adopting a fast Fourier transform method based on the time domain characteristic of the theoretical whole vehicle required power.
Converting the time domain signal into a signal in a frequency domain by using Fourier transform, wherein the expression X (k) is as follows:
in the formula, x (k) represents data after fourier transform, x (N) represents a sampled analog signal, k represents frequency, N represents a fourier transform interval length, and N represents a sampling point number.
After the frequency domain analysis is carried out on the theoretical total vehicle required power, the obtained frequency domain characteristic data is used for setting the self-adaptive low-pass filter.
S2.3, establishing a self-adaptive low-pass filter by adopting a fuzzy controller and a low-pass filter; the method specifically comprises the following steps:
firstly, the required power P of the whole vehicle is calculated re And the current state of charge data SOC of the power battery is used as an input parameter and is input into a fuzzy controller, and the fuzzy controller outputs a cut-off frequency f c While the fuzzy controller determines the cut-off frequency f according to the frequency domain characteristics c And dynamically adjust the range of variation of；
Then, the cut-off frequency f is adjusted c The required power P of the whole vehicle is fed to a low-pass filter and is converted into the required power P of the whole vehicle through the low-pass filter re The power P is converted into the filtered whole vehicle required power P with lower frequency and smaller fluctuation ref (ii) a The transfer function l(s) of the low-pass filter is expressed as:
wherein T is a time constant, s is a Laplace operator, f c Is a cut-off frequency, wherein the cut-off frequency f c Output by the fuzzy controller and given to a low pass filter.
S2.4, optimizing the filtered required power of the whole vehicle through the control command in the table 1 to obtain the output power of the hydrogen fuel cell system, wherein the required power of the rest cells is borne by the output power of the power cell system; and controlling the hydrogen fuel cell system to be opened and closed through the filtered power required by the whole vehicle and the power battery state of charge data, and simultaneously controlling and adjusting the output power of the hydrogen fuel cell system and the output power of the power battery system.
TABLE 1
In Table 1, P re And P ref Respectively the power required by the whole vehicle before and after filtering; p fcmin The minimum output power of the high-efficiency working interval of the hydrogen fuel cell system is obtained; p is fcmax The maximum output power of the high-efficiency working interval of the hydrogen fuel cell system is obtained; the SOC is the current state of charge data of the power battery; SOC min The minimum value of the appropriate range of the state of charge of the power battery is a first preset threshold value of the state of charge data of the power battery; SOC max The maximum value of the appropriate range of the state of charge of the power battery is a second preset threshold value of the state of charge data of the power battery; p fc The required power of the whole vehicle to the hydrogen fuel cell system is the output power of the hydrogen fuel cell system; p is ba The required power of the whole vehicle to the power battery, namely the output power of the power battery system, P bp For charging power, the expression is:
in the formula, P ch And the charge and discharge coefficients of the power battery are obtained.
And S3, respectively controlling and managing the working states of the hydrogen fuel cell system and the power cell system based on the adaptive energy management method, as shown in FIG 3.
In this embodiment, the mode of performing control management on the entire vehicle power of the hydrogen fuel cell vehicle by using the adaptive energy management method is divided into three cases:
the first mode is as follows: when the required power P of the whole vehicle re When the power is more than 0, a hydrogen fuel cell automobile self-adaptive energy management method is adopted to control and manage the required power; firstly, in an adaptive low-pass filter, a fuzzy controller is used for controlling the power P according to the requirement of the whole vehicle re And the current SOC output cut-off frequency f of the power battery c The low-pass filter being dependent on the current cut-off frequency f c Required power P of whole vehicle re Filtering to obtain the filtered required power P of the whole vehicle ref And then based on the filtered total vehicle required power P ref And the current state of charge data SOC of the power battery, and determining the opening and closing states of the hydrogen fuel electric system according to the control instruction in the table 1 and simultaneously outputting power P to the hydrogen fuel battery fc And the output power P of the power battery system bat And (6) carrying out adjustment.
And a second mode: when the required power P of the whole vehicle re When the SOC is equal to 0, if the SOC of the power system is less than the SOC min If so, the hydrogen fuel cell system charges the power cell, and the charging power is calculated by the formula 7; if the SOC of the power system is more than or equal to the SOC min And at the moment, the hydrogen fuel cell system and the power cell system do not work.
And a third mode: when the whole vehicle is usedPower demand P re When the SOC is less than 0, the hydrogen fuel cell vehicle is in an energy recovery state, and if the SOC data of the power system is less than the SOC max Then the power battery system is used for requesting power P for the whole vehicle re Absorbing; if the SOC of the power system is more than or equal to the SOC max At this time, in order to protect the power battery, the power battery system is not recovering braking energy.
The above-described embodiments are only intended to illustrate the preferred embodiments of the present invention, and not to limit the scope of the present invention, and various modifications and improvements made to the technical solution of the present invention by those skilled in the art without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.
Claims (8)
1. A hydrogen fuel cell automobile self-adaptive energy management method is used for controlling and managing a hydrogen fuel cell system and a power battery system of a hydrogen fuel cell automobile, and is characterized by comprising the following steps:
acquiring preset parameters, and constructing a hybrid power system model of the hydrogen fuel cell automobile based on the preset parameters;
the method comprises the following steps of obtaining the required power of the whole vehicle through the hybrid power system model, adopting a self-adaptive low-pass filter to convert the required power of the whole vehicle, obtaining a control instruction of the self-adaptive energy distribution of the hydrogen fuel cell vehicle based on the required power of the whole vehicle and the charge state data of the power cell after conversion, and obtaining the control instruction of the self-adaptive energy distribution of the hydrogen fuel cell vehicle, wherein the method comprises the following steps:
calculating theoretical finished automobile required power by adopting an automobile power balance formula, and acquiring the time domain characteristic of the theoretical finished automobile required power based on the theoretical finished automobile required power;
acquiring the frequency domain characteristic of the theoretical whole vehicle required power by adopting a fast Fourier transform method based on the time domain characteristic;
constructing a self-adaptive low-pass filter by adopting a fuzzy controller and a low-pass filter, and converting the required power of the whole vehicle through the self-adaptive low-pass filter; wherein a cut-off frequency of the low-pass filter is determined by the frequency domain characteristic and the fuzzy controller;
acquiring control instructions for the hydrogen fuel cell system and the power cell system based on the converted power demand of the whole vehicle and the state of charge data of the power cell, wherein the control instructions comprise: the control instruction for starting or closing the hydrogen fuel cell system also comprises a control instruction for regulating the output power of the hydrogen fuel cell system and the output power of the power cell system;
and respectively controlling and managing the working states of the hydrogen fuel cell system and the power cell system based on the control command of the self-adaptive energy distribution of the hydrogen fuel cell automobile.
2. The adaptive energy management method for a hydrogen fuel cell vehicle according to claim 1, wherein the preset parameters include: the method comprises the following steps of working efficiency of a hydrogen fuel cell system, low heat value of hydrogen, sampling value of output power of the hydrogen fuel cell system, capacity of a power battery, output voltage and current of the power battery, open-circuit voltage and internal resistance of the power battery, and initial charge state data of the power battery.
3. The hydrogen fuel cell vehicle adaptive energy management method according to claim 1, wherein the hybrid system model comprises: the system comprises a hydrogen fuel cell system model and a power cell circuit model, wherein the hydrogen fuel cell system model is used for acquiring the output power of the hydrogen fuel cell system, and the power cell circuit model is used for acquiring the output power of the power cell system and the charge state data of the power cell.
4. The adaptive energy management method for a hydrogen fuel cell vehicle according to claim 1, wherein the transfer function l(s) of the low-pass filter is expressed by:
wherein T is a time constant, s is a Laplace operator, f c Is the cut-off frequency; cutting off the frequency f by the fuzzy controller c Output to the low pass filter.
5. The adaptive energy management method for the hydrogen fuel cell automobile according to claim 1, wherein the mode of the adaptive energy management method for controlling and managing the whole automobile power of the hydrogen fuel cell automobile comprises the following steps:
in a first mode: when the required power of the whole vehicle is greater than 0; calculating the output power of the hydrogen fuel cell system and the output power of the power cell system based on the required power of the whole vehicle and the charge state data of the power cell;
and a second mode: when the required power of the whole vehicle is equal to 0; acquiring working states of the hydrogen fuel cell system and the power cell system based on a first preset threshold of the power cell state of charge data;
and a third mode: when the required power of the whole vehicle is less than 0; acquiring the working states of the hydrogen fuel cell system and the power cell system based on a second preset threshold of the power cell state of charge data; wherein the second preset threshold is greater than the first preset threshold.
6. The adaptive energy management method for a hydrogen fuel cell vehicle according to claim 5, wherein the control management method for the mode one is:
inputting the required power of the whole vehicle and the current state of charge data of the power battery into the fuzzy controller to obtain the cut-off frequency; based on the cut-off frequency, the required power of the whole vehicle is converted through the low-pass filter; and determining the working state of the hydrogen fuel cell system and obtaining the output power of the hydrogen fuel cell system and the output power of the power cell system based on the converted finished automobile required power and the power cell state of charge data.
7. The adaptive energy management method for a hydrogen fuel cell vehicle according to claim 5, wherein the control management method for the mode two is:
if the charge state data of the power battery is smaller than the first preset threshold, the power battery is charged through the hydrogen fuel cell system, and the expression of the charging power Pbp is as follows:
in the formula, P ch Is the charge-discharge coefficient, P, of the power battery bp For charging power, SOC is the current state of charge of the power battery, SOC min A first preset threshold value for the charge state of the power battery; SOC max A second preset threshold value for the charging state of the power battery;
and if the state of charge data of the power battery is greater than or equal to the first preset threshold, neither the hydrogen fuel battery system nor the power battery system works.
8. The adaptive energy management method for a hydrogen fuel cell vehicle according to claim 5, wherein the control management method for the mode three is:
if the state of charge data of the power battery is smaller than the second preset threshold value, the power battery system absorbs the power required by the whole vehicle;
and if the state of charge data of the power battery is larger than or equal to the second preset threshold, the hydrogen fuel battery system and the power battery system do not work.
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| CN114523858B (en) * | 2022-02-22 | 2022-11-29 | 电子科技大学 | Power distribution method of hydrogen-electricity hybrid power system |
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| CN114771357A (en) * | 2022-03-17 | 2022-07-22 | 电子科技大学 | Energy management method for hydrogen fuel cell hybrid power system |
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