CN202498998U - Fuel cell hybrid energy management control system - Google Patents
Fuel cell hybrid energy management control system Download PDFInfo
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- CN202498998U CN202498998U CN2012200791536U CN201220079153U CN202498998U CN 202498998 U CN202498998 U CN 202498998U CN 2012200791536 U CN2012200791536 U CN 2012200791536U CN 201220079153 U CN201220079153 U CN 201220079153U CN 202498998 U CN202498998 U CN 202498998U
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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
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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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
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/72—Electric energy management in electromobility
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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
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Abstract
The utility model discloses a fuel cell hybrid energy management control system. The system comprises a fuel cell, a fuel cell controller, a DC/DC converter, a lithium cell, a whole-vehicle controller, a motor controller and a motor. The system is characterized in that the fuel cell and the lithium cell are connected with power system buses through the DC/DC converter and used for outputting power to the motor under the control of the motor controller, the fuel cell is controlled by the fuel cell controller, and the fuel cell controller, the DC/DC converter, the lithium cell and the motor controller are controlled by the whole-vehicle controller. The controller can be used to keep the whole-vehicle efficiency above 50%, improve fuel economy of a whole-vehicle, and cause the fuel cell and the lithium cell to work at optimum conditions at the same time.
Description
Technical field
The utility model belongs to energy management control system, specifically is the fuel cell hybrid energy management control system.
Background technology
The hybrid power system energy management strategy of fuel cell powered vehicle is one of gordian technique of fuel cell power system research; Its core is the energy output through real-time distribution fuel cell and auxiliary energy; Reduce the dynamical load of fuel battery engines; Optimize the fuel battery engines work area and at utmost reclaim braking energy, make the power system efficiency optimization.
The utility model content
The purpose of the utility model provides a kind of fuel cell hybrid energy management control system, and car load efficient can be reached more than 50%, makes fuel cell, lithium cell be operated in optimum regime when improving the fuel efficiency of car load.
For achieving the above object; The fuel cell hybrid energy management control system of the utility model comprises fuel cell, fuel cell controller, DC/DC conv, lithium cell, entire car controller, electric machine controller, motor; It is characterized in that: described fuel cell, lithium cell are connected with the power system bus and are the motor horsepower output by motor controller controls through the DC/DC conv; Described fuel cell is controlled by described fuel cell controller, and described fuel cell controller, DC/DC conv, lithium cell, electric machine controller are controlled by entire car controller.
Concrete: said entire car controller comprises energy controller and fuzzy controller; Described energy controller is controlled by fuzzy controller; Described fuel cell, DC/DC conv, lithium cell are controlled by energy controller; Described lithium cell is the motor horsepower output through fuzzy controller, energy controller, electric machine controller, and the effect horse power of said motor feeds back to described energy controller.Described fuel cell, lithium cell are power input to machine through energy switching module, driving interface, and described amount handover module, driving interface are controlled by described electric machine controller.
The beneficial effect of the utility model is: this management control system can be optimized car load energy management strategy to the characteristics of fuel cell hybrid system; With state-of-charge SOC, the car load demand power P of lithium cell is input variable; Fuel cell provides power, lithium cell to provide power, braking energy to be recovered as output variable; Proposition is based on the real-time control algorithm of fuzzy control hybrid power system energy; Carry out emulation and algorithm is realized at hardware platform; Algorithm simulating and the sample car road driving test results of loading this controller show: this control system makes car load efficient more than 50%, makes fuel cell, lithium cell be operated in optimum regime when improving the fuel efficiency of car load.
Description of drawings
Fig. 1 is the fuel cell hybrid system chart of the utility model, and on behalf of control flows, dotted line, solid line represent energy stream among the figure;
Fig. 2 is an actual measurement fuel cell efficiency curve;
Fig. 3 is a fuel cell hybrid energy management control block diagram, and on behalf of control flows, dotted line, solid line represent energy stream among the figure;
Fig. 4 is power error signal P
gThe membership function diagram of curves;
Fig. 5 is the membership function diagram of curves of lithium cell state-of-charge SOC;
Fig. 6 is that lithium cell provides power P
bThe membership function diagram of curves;
Fig. 7 is the membership function diagram of curves of fuel cell output power Pfc;
Fig. 8 is fuzzy controller input and output mode charts;
Fig. 9 is that the electric machine control system circuit is realized block diagram, and on behalf of control flows, dotted line, solid line represent energy stream among the figure.
The specific embodiment
Below in conjunction with Figure of description the utility model is further specified.
The fuel cell hybrid energy management control system of the utility model; Like Fig. 1,3, shown in 9; It comprises fuel cell, fuel cell controller, DC/DC conv, lithium cell, entire car controller, electric machine controller, motor; Fuel cell, lithium cell are connected with the power system bus and are the motor horsepower output by motor controller controls through the DC/DC conv; Fuel cell is controlled by fuel cell controller, and fuel cell controller, DC/DC conv, lithium cell, electric machine controller are controlled by entire car controller.
Concrete; Entire car controller comprises energy controller and fuzzy controller (referring to Fig. 3); Energy controller is controlled by fuzzy controller; Fuel cell, DC/DC conv, lithium cell are controlled by energy controller, and lithium cell is the motor horsepower output through fuzzy controller, energy controller, electric machine controller, and the effect horse power of motor feeds back to energy controller.Fuel cell, lithium cell are power input to machine (referring to Fig. 9) through energy switching module, driving interface, and amount handover module, driving interface are controlled by electric machine controller.
The power system of fuel cell hybrid car is a multipotency driving source assembly system, and its structure is as shown in Figure 1, adopts the version that is reclaimed 3 kinds of energy source mixed configuration by fuel cell, subsidiary battery (lithium cell) and braking energy.In the process of moving; Fuel cell provides as main energy source and drives the required power of electric bicycle; Because the fuel cell dynamic characteristics is softer; High-power when moment startup, acceleration, climbing can not be provided, need the configuration subsidiary battery, the subsidiary battery while also absorbs fuel cell surplus power and recovery braking energy etc.According to certain control policy, the power of the three being exported or importing by whole-control system carries out the reasonable optimizing distribution, to obtain higher fuel efficiency on the basis of satisfying the car load tractive performance.
Shown in Figure 1, each parts is formed a dcs through the CAN bus.The electric power that the 5KW fuel cell sends is transformed into stable 60V vdc through main DC/DC conv, transfers to the power system bus.The 60HA lithium cell directly transfers to bus through DC/DC and bus direct connection with power.The electric power of alternating current dynamo and controller thereof is provided by the power system bus.Bus power p
BusAs follows:
p
bus=(P
fc+P
d)η
d
∴p
g=(P
fc+P
f)η
dη
m
P in the formula
bBe storage battery power; p
FcFuel cell output power; p
BusBe the power that main DC/DC conv outputs to bus; p
gBe chaufeur demand power (driving power on wheel); η
Fc, η
d, η
mFuel cell efficiency, DC/DC converter efficiency and motor and driving efficiency.
Start quicken the climbing pattern: lithium cell is main energy stream, and operation of fuel cells is at permanent power rating;
Cruise mode: fuel battery engines is main energy stream, and lithium cell is an auxiliary energy stream;
In the light running pattern: fuel battery engines is providing to motor in the required energy to lithium cell charging;
Deceleration/braking mode, lithium cell reclaiming braking energy.
By the difference of its mode of operation, the concrete share that two power supplys are born load is different, and its proportioning general principle is: let fuel cell be in optimum regime, let the lithium cell state-of-charge simultaneously more than SOCmin.With the power share of distributing to fuel cell is constraint condition, regulates the horsepower output of lithium cell.As far as storage battery, when storage battery SOC minimum limit value (SOCmin) is less than or equal to 30%, storage battery must charge; SOC looked the demand power situation of gross vehicle at 50%~70% o'clock, can charge and also can discharge; When SOC does not charge greater than 90% the time.
This paper uses fuel cell efficiency figure (referring to Fig. 2) the battery operated model that acts as a fuel.The fuel battery power scope is the low power district during from 0-0.5kW, the time fuel cell most effective.When fuel cell operation during at medium-requirement power (1-3kW), exceed surplus power can both be used for charge a battery.When demand power is higher (3-5kW), do not use fuel cell charging accumulators.
In real road driving process, chaufeur is controlled Das Gaspedal and brake pedal according to road traffic condition, vehicles dynamic performance and the driving habit of self.The energy management control system of hybrid vehicle at first need be interpreted into the location solution of Das Gaspedal under the current vehicle speed or brake pedal the power (being the chaufeur demand power) of chaufeur expectation; Distribute to fuel cell system and two energy sources of storage battery to this chaufeur demand power through the energy management strategy subsequently; Thereby realize that energy efficiency is best, expectation power is that negative value is carried out the braking energy recovery when braking or sliding.As shown in Figure 3.
Fuzzy controller is with target power P
gWith the state-of-charge SOC of lithium cell be the input variable of fuzzy control, distribute horsepower output P with fuel cell
Fc, lithium cell horsepower output P
bWith braking energy regenerative power Pr is the output variable of fuzzy controller.Fuzzy input variable P
gWith the basic domain of SOC be [9,9] KW and [30,90] %, with the input variable obfuscation, the fuzzy subset be { NB (negative big), NM (in negative), NS (bearing little), ZO (zero), PS (just little), PM (center), PB (honest) }; The domain of fuzzy output variable Pb is [3,6] KW, and the fuzzy subset also is { NB (negative big), NM (in negative), NS (negative little), ZO (zero), PS (just little), PM (center), PB (honest) }, fuzzy output variable P
FcDomain be [0,3] KW, the fuzzy subset also is { ZO (zero), PS (just little), PM (center), PB (honest) }, fuzzy output variable P
rDomain be [0,3] KW, the fuzzy subset also is { ZO (zero), PS (just little), PM (center), PB (honest) }.Selecting the membership function of input, output fuzz variable is that triangle is shown in Fig. 4-7.
Fuzzy control rule is formed by connecting a series of relatives, and the most frequently used relative has if-then, also, and or and and confirm that the fuzzy control rule of each output and input is as shown in table 1 respectively.The controlling quantity that FUZZY ALGORITHMS FOR CONTROL provides can't the direct control object, and real output need carry out de-fuzzy to be handled, and it is transformed in the receptible basic domain of controlled object institute goes the de-fuzzy Processing Algorithm to adopt centroid method.
Table 1 fuzzy control rule table
In the Matlab analogue system, set up fuzzy controller, delivery is stuck with paste the input variable target power P of control
gWith the domain of the state-of-charge SOC of lithium cell be [9,9] KW and [30,90] %, the output variable fuel cell that delivery is stuck with paste controller distributes horsepower output P
Fc, lithium cell distributes horsepower output P
bWith braking energy regenerative power P
rDomain be respectively [0,5] KW, [3,6] KW and [0,3] KW.Lithium cell is 60AH/48V, the initial state-of-charge SOC=60% of battery.Under the Matlab/Simulink environment, set up BLCDM Control System Imitation model simultaneously, the parameter of electric machine is: rating horsepower 5kW; Rated speed of rotation 1500r/min, specified input voltage 48V rated current 85A, stator resistance=0.2 Ω; Rotor inertia=0.05kg m2, torque rating Te=80Nm.For being scaled target power, it is as shown in Figure 8 to get time 0-15 minute simulation waveform with chaufeur Das Gaspedal and brake pedal.
Can find out through simulation waveform; Utilize this fuzzy algorithm that fuel cell output power, lithium cell horsepower output and braking energy regenerative power are carried out dynamic management; Whole on period, the state-of-charge SOC of lithium cell between the 30%-70% of position, carry out braking energy at any time and reclaim all the time; And moment, Maximum Power Output was in the permission model of lithium cell, and lithium cell is operated in optimum regime.The horsepower output of fuel cell maintains between the 1KW-3KW, the efficient district of work fuel battery.
Shown in Figure 9; Electric machine controller CPU adopts the c8051 microprocessor; Main completion Das Gaspedal information, brake signal, motor position signal collection will collect information translation and become target power, through the control information of fuzzy algorithm output control fuel battery power, lithium cell and braking energy recovery; Motor speed control simultaneously, and defencive functions such as overcurrent, overvoltage and temperature.
The system of the utility model can be from the characteristics of the composition and the energy stream of different fuel cell hybrid system; Carried out global optimization according to battery-driven car state of cyclic operation and real-world operation power test data; Analyze different batteries state-of-charge (SOC) rule of fuel cell output power target power variation down; Designed real-time control algorithm based on this based on fuzzy logic; Algorithm is realized on the DSP320TM2812 hardware platform; Released the fuel cell entire car controller, through 5KW fuel cell outing vehicle real-world operation test shows: car load efficient can reach more than 50%, makes fuel cell, lithium cell be operated in optimum regime when improving the fuel efficiency of car load.
Claims (3)
1. fuel cell hybrid energy management control system; It comprises fuel cell, fuel cell controller, DC/DC conv, lithium cell, entire car controller, electric machine controller, motor; It is characterized in that: described fuel cell, lithium cell are connected with the power system bus and are the motor horsepower output by motor controller controls through DC/DC conv; Described fuel cell is controlled by described fuel cell controller, and described fuel cell controller, DC/DC conv, lithium cell, electric machine controller are controlled by entire car controller.
2. fuel cell hybrid energy management control system according to claim 1; It is characterized in that: said entire car controller comprises energy controller and fuzzy controller; Described energy controller is controlled by fuzzy controller; Described fuel cell, DC/DC conv, lithium cell are controlled by energy controller, and described lithium cell is the motor horsepower output through fuzzy controller, energy controller, electric machine controller, and the effect horse power of said motor feeds back to described energy controller.
3. fuel cell hybrid energy management control system according to claim 1; It is characterized in that: described fuel cell, lithium cell are power input to machine through energy switching module, driving interface, and described amount handover module, driving interface are controlled by described electric machine controller.
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Cited By (18)
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CN103231662A (en) * | 2013-04-18 | 2013-08-07 | 同济大学 | Control method of high reliability fuel cell car power system |
CN103682484A (en) * | 2013-12-09 | 2014-03-26 | 惠州市亿能电子有限公司 | Method using vehicle controller for battery management of electric vehicle |
CN104827922A (en) * | 2014-12-19 | 2015-08-12 | 北汽福田汽车股份有限公司 | Fuel cell vehicle, control method and control system thereof |
CN104972918A (en) * | 2015-07-08 | 2015-10-14 | 西南交通大学 | Self-adaptive energy management system for fuel cell hybrid power tramcar multi-power source |
CN106064560A (en) * | 2015-04-20 | 2016-11-02 | 高雄应用科技大学 | Fuel Cell Hybrid Power System And Control Method Thereof |
CN106786839A (en) * | 2017-04-20 | 2017-05-31 | 德阳九鼎智远知识产权运营有限公司 | A kind of fuel cell and lithium battery mixed power supply system and method |
CN107215239A (en) * | 2017-07-24 | 2017-09-29 | 澳特卡新能源科技(上海)有限公司 | A kind of batteries of electric automobile charge-discharge electric power guard method and system |
CN107499155A (en) * | 2017-08-08 | 2017-12-22 | 航天新长征电动汽车技术有限公司 | A kind of mixed motor-car control method and control system based on fuel cell and lithium battery |
CN108556672A (en) * | 2018-05-25 | 2018-09-21 | 中车青岛四方机车车辆股份有限公司 | A kind of control method and system of fuel cell hybrid system |
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CN109532566A (en) * | 2018-12-24 | 2019-03-29 | 青岛理工大学 | Fuel cell power system and power cell charge state control method |
CN110126813A (en) * | 2019-05-17 | 2019-08-16 | 吉林大学 | A kind of energy management method of on-vehicle fuel hybrid power system |
CN110194065A (en) * | 2019-05-29 | 2019-09-03 | 中国第一汽车股份有限公司 | Vehicle energy control method, device, vehicle and the storage medium of vehicle |
CN110758708A (en) * | 2019-10-14 | 2020-02-07 | 浙江海洋大学 | Ship fuel cell hybrid propulsion system and energy control method |
CN111146816A (en) * | 2019-11-12 | 2020-05-12 | 广东国鸿氢能科技有限公司 | Emergency power supply system based on fuel cell |
WO2021043323A1 (en) * | 2019-09-03 | 2021-03-11 | 金龙联合汽车工业(苏州)有限公司 | Method for optimizing power distribution of fuel cell vehicle |
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CN113451620A (en) * | 2020-03-27 | 2021-09-28 | 未势能源科技有限公司 | Fuel cell system, vehicle, and control method for fuel cell system |
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2012
- 2012-03-05 CN CN2012200791536U patent/CN202498998U/en not_active Expired - Fee Related
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CN103231662A (en) * | 2013-04-18 | 2013-08-07 | 同济大学 | Control method of high reliability fuel cell car power system |
CN103231662B (en) * | 2013-04-18 | 2015-10-21 | 同济大学 | A kind of Fuel Cell Vehicle Powertrain control method |
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CN104827922A (en) * | 2014-12-19 | 2015-08-12 | 北汽福田汽车股份有限公司 | Fuel cell vehicle, control method and control system thereof |
CN104827922B (en) * | 2014-12-19 | 2017-04-05 | 北汽福田汽车股份有限公司 | Fuel cell car and its control method and control system |
CN106064560B (en) * | 2015-04-20 | 2019-08-09 | 高雄应用科技大学 | fuel cell hybrid power system and control method thereof |
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CN104972918A (en) * | 2015-07-08 | 2015-10-14 | 西南交通大学 | Self-adaptive energy management system for fuel cell hybrid power tramcar multi-power source |
CN104972918B (en) * | 2015-07-08 | 2017-04-19 | 西南交通大学 | Self-adaptive energy management system for fuel cell hybrid power tramcar multi-power source |
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CN110126813A (en) * | 2019-05-17 | 2019-08-16 | 吉林大学 | A kind of energy management method of on-vehicle fuel hybrid power system |
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