CN101734249A - Steady state operational control method of fuel cell engine - Google Patents
Steady state operational control method of fuel cell engine Download PDFInfo
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- 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 invention discloses a steady state operational control method of a fuel cell engine, belonging to the technical field of new energy fuel cell hybrid power. In the method, a prediction model based on random process description is established according to the information provided by a guided system; the power required by the fuel cell engine is estimated; the dynamic power requirements of a finished automobile is decomposed into a steady state average power provided by fuel cells and an instantaneous auxiliary power provided by power batteries through prediction on traffic power of the next road section and detection combining with the power battery state; the fuel cell passive output energy mode is adjusted to be active prediction output through a DC-DC converter, thus realizing steady state operation of the fuel cell engine. The rate of variation is realized through setting a limit value or a variation curve. The steady state operational control method of the invention reduces dynamic load borne by the fuel cell engine, effectively improves durability of the fuel cell engine, realizes coordination control of each internal part of the fuel cell engine and the engine output energy, and greatly reduces the system cost.
Description
Technical field
A kind of fuel cell hybrid system control method based on predictive control is applicable to the fuel battery engines of fixedly public transport operating mode operation and the electric power combination drive power system that energy storage system is formed, and belongs to new forms of energy fuel cell hybrid technical field.
Background technology
Becoming increasingly conspicuous of energy shock and this two large problems of environmental pollution has a strong impact on the sustainable development of human society, therefore more and more is subjected to national governments and attention among the people.Oil resources shared ratio in world's energy-consuming surpasses 35%, and wherein quite major part consumes in traffic transport industry again.Traditional energy structure and utilize mode more and more to be difficult to adapt to the needs of survival and development of mankind.In the face of the double challenge of energy shock and environmental pollution, many countries all utilize form striving to find new transportation and energy.Electric energy is considered to the most promising power train in vehicle application energy source of 21st century.
The key of power drive system is a battery, mainly contain conventional electric power storage forms such as plumbic acid, ni-mh, lithium ion at present, the fuel cell of Chu Xianing (Fuel cell) realized by electrochemical method that hydrogen and airborne oxygen reaction produced electric energy in recent years, thereby have the efficient height, energy can store advantages such as (passing through hydrogen), energy density height, no any pollution, solved traditional Vehicular dynamic battery energy density low, rely on charging unit, have problems such as battery pollution, also therefore, fuel cell is considered to the clean and effective electrokinetic cell of future ideality.
Because fuel cell system costs an arm and a leg, compare small-sized Passenger motor vehicle, urban bus is that fuel cell power system most possibly takes the lead in realizing business-like platform, also because it costs an arm and a leg, the durability that improves vehicle fuel battery is to reduce use cost and the business-like key of final realization.How to pass through effective use and control to fuel cell, guarantee that operation of fuel cells is steady, dynamic characteristics is good, to prolong fuel battery service life, is one of core technology in the vehicle fuel battery engine control.
Summary of the invention
The objective of the invention is to problem at present fuel cell hybrid city bus control existence, a kind of new control system and control policy based on predictive control proposed, satisfying the needs of fuel cell hybrid control, and the complicated transient load that effectively reduces fuel battery engines and born.
The urban bus operating mode has that circuit is fixed, frequent start-stop, long-time idling, characteristics such as operating mode is measurable, at these characteristics, can pass through the auxiliary of power accumulator, fuel battery engines is controlled at work under the metastable state of operating mode, thereby the adverse effect of avoiding factors such as too violent variable load, frequent start-stop and long-time idling that fuel cell is produced is to improve the endurance quality of fuel battery engines.
The invention is characterized in: at the urban bus mixed power system structure of forming by fuel cell system, DC-DC changer, power accumulator and drive motor, a kind of fuel cell hybrid system control method based on predictive control has been proposed, this method is moved fuel battery engines under metastability operating mode mode, to improve its durability, be called the Soft-run technology again, comprise following step:
(1) information that provides according to navigationsystem, for example the GPS position fixing system is set up the forecast model of describing based on random process, and the demand power of fuel battery engines is estimated.This model is based upon on the statistical basis of a large amount of priori datas, by the identification to the operating condition feature of vehicle, estimates the power variation tendency on route.
Predict by driving power that (2) in conjunction with the power accumulator state-detection, the dynamic power demand of car load is decomposed into by fuel cell provides the stable state average power, provides instantaneous auxiliary power by power accumulator to next highway section.
(3) be initiatively prediction output by the DC-DC changer with the passive energy output mode adjustment of fuel cell.Here, constitute initiatively auxiliary power unit IAAPU of an intelligence by fuel battery engines and DC-DC changer, the state of ACTIVE CONTROL fuel battery engines, make the relatively stable or slow variation of its power output (rate of change is realized by setting limit value or change curve), thereby realize the quasi-steady running of fuel battery engines.
Described power system configuration is formed (Fig. 1) by fuel cell system (claiming fuel battery engines again), DC-DC changer, power accumulator and drive motor.Fuel battery engines is as propulsion source, and horsepower output is controlled (Fig. 2) by DC-DC according to the control command that is built in the control entire car controller, reasonably is assigned to power accumulator (charging) and drive motor.When less or power accumulator state-of-charge (SoC) was low when the car load power demand, fuel cell charged to power accumulator; When the car load power demand was big, fuel cell and power accumulator were exported simultaneously, so that power demand to be provided.Vehicle management system is rationally regulated horsepower output, guarantees that the SoC of power accumulator is basicly stable.
Described entire car controller is the main control unit of vehicle.Because big, the real-time of data exchange amount, reliability requirement height between each parts of power system, total system adopts distributed control, adopts the CAN bus to carry out communication between each controller.Entire car controller realizes total system is carried out the co-operative control of energy management and each parts by the CAN bus.
Described fuel cell controller is the execution unit of fuel battery engines control system, be responsible for order according to entire car controller, the current vehicle ' situation of comprehensive judgement, each parts of fuel cell are carried out comprehensive unified control, so that fuel cell reaches best serviceability, and fuel cell carried out trouble diagnosing, guarantee the safety of fuel battery engines.
Described DC-DC changer is the power component of in the fuel cell hybrid system fuel battery engines horsepower output being regulated, and includes but not limited to different models such as unidirectional, two-way, constant current, constant voltage type.
Described power accumulator is the high-power electrical storage device in the hybrid power system, includes but not limited to dissimilar power accumulators such as Ni-MH battery, lead-acid battery, ferric phosphate lithium cell.When the fuel battery engines horsepower output greater than driving during required effect horse power, fuel battery engines charges in battery; When the vehicle power demand increases suddenly, the common energy output of storage battery and fuel battery engines, drive motor rotates.
Described forecast model or GPS position fixing system are the accessory appliances of prediction car load power demand, comprise based on the forecast model of past driving information or based on the forecast model of past and current driving information and based on the GPS position fixing system and obtain current vehicle location coordinate and driving information, the comparison electronic chart is made the various accessory appliancess of estimating to vehicle ' power in advance.
The present invention is by the control of fuel cell and DC-DC in the integration fuel battery engines, realized the ACTIVE CONTROL of fuel cell energy output, and by forecast model or GPS position fixing system, in advance the driving power demand is estimated, when satisfying the vehicle ' power demand, accomplish the quasi-steady running of fuel battery engines.Compare with traditional control method, its major advantage has:
(1) reduces the dynamic load that fuel battery engines bears, can effectively improve the durability of fuel battery engines.
(2) realized the co-operative control of inner each parts of fuel battery engines and driving engine energy output, the adverse effect that the pile deficency of effectively avoiding causing because of variable load, idling, start-stop etc., water logging, overload etc. cause.
(3) fuel battery engines is mainly undertaken provides steady state power, and its rating horsepower can reduce (for example dropping to 60kw from 80kw), thereby can substitute original high power fuel cell driving engine with the small fuel cell driving engine, to reduce system cost significantly.
Description of drawings
Fig. 1 is the Hybrid Power System in Fuel Cell City Bus structural representation.
Fig. 2 is the control process that fuel cell and DC-DC unite output.
Fig. 3 is fuel battery engines " Soft-run " basic control method.
The specific embodiment
Below in conjunction with description of drawings the present invention.
Be illustrated in figure 1 as the hybrid power system configuration of fuel cell bus.When fuel battery engines and DC-DC are joined to together, treat as unified parts, fuel cell by with the horsepower output that decides oneself cooperating of DC-DC, so just realized the management of fuel cell to own energy output.From unified angle, fuel cell and DC-DC have formed an independently energy feed unit, therefore this energy feed unit can be called as initiatively auxiliary energy unit (IAAPU) of intelligence here according to its energy output of various situation ACTIVE CONTROL such as situation of traveling state of vehicle, power accumulator.
Be illustrated in figure 2 as the specific embodiment of himself energy of fuel battery engines ACTIVE CONTROL output.The control of fuel cell is grouped together with the control of DC-DC indirectly in phase by entire car controller, the DC-DC control command that fuel cell master control ECU sends is actually by entire car controller to be implemented, and therefore can not destroy the TTCAN network of car load and the control interface of entire car controller.
The metastability control method scheme drawing of fuel battery engines as shown in Figure 3.At first,, utilize driving operating mode feature data such as historical data that speed of a motor vehicle operating mode historical data, driver quicken, demand power data, the driving power of vehicle is predicted and estimated by being based upon the random process estimation model on the statistics basis.In the forecasting process, the parameter in the new continuous correction model of measuring of data can be adjusted according to the road conditions of reality to guarantee model, with realistic working conditions change preferably.The state estimation of fuel cell is by the monolithic voltage of fuel cell, and moisture condition estimates that internal resistance situation and other corresponding features constitute.The different conditions of fuel cell driving engine is revised the target power of driving engine.Through real train test, for guaranteeing fuel battery engines stability within a certain period of time, should have suitable discrete gear value, performance and real road situation that the gear value should fuel cell are carried out the self adaptation correction.The optimization aim function of gearshift is that the probability that fuel battery engines was shifted gears in a period of time is minimum, and the power that satisfies vehicle ' simultaneously changes demand.For the fuel battery passenger car that runs on the fixing bus routes, utilize the statistics of vehicle ' to carry out the self adaptation correction to the strategy and the gear value thereof of gearshift.Off-line and online statistical computation and estimation are carried out by the data support system of fuel cell master control ECU in the data basis.For the identification with road condition estimated of current gearshift power, not only undertaken, but passed through the data sequence of a period of time by current observed reading, take all factors into consideration statistics and position, discern and predict.And the vehicle location information that the GPS ancillary system provides makes and can take all factors into consideration bus stop on the running route in the control process that traffic lights, overpass etc. influence the key factor that transient changing appears in vehicle power.
Claims (2)
1. a steady state operational control method of fuel cell engine is characterized in that, this method step is as follows:
(1) information that provides according to navigationsystem is set up the forecast model of describing based on random process, and the demand power of fuel battery engines is estimated;
Described forecast model is by the statistics of priori data, to the identification of carrying out of the operating condition feature of vehicle, estimates the power variation tendency on route;
Predict by driving power that (2) in conjunction with the power accumulator state-detection, the dynamic power demand of car load is decomposed into by fuel cell provides the stable state average power, provides instantaneous auxiliary power by power accumulator to next highway section;
(3) be initiatively prediction output by the DC-DC changer with the passive energy output mode adjustment of fuel cell; Here, constitute initiatively auxiliary power unit IAAPU of an intelligence by fuel battery engines and DC-DC changer, the state of ACTIVE CONTROL fuel battery engines makes the relatively stable or slow variation of its power output, thereby realizes the steady-state operation of fuel battery engines.
2. a kind of steady state operational control method of fuel cell engine according to claim 1 is characterized in that, the state of described ACTIVE CONTROL fuel battery engines is a rate of change, and described rate of change is realized by setting limit value or change curve.
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102126496A (en) * | 2011-01-24 | 2011-07-20 | 浙江大学 | Parallel hybrid management control system and management control method thereof |
| CN104340218A (en) * | 2013-08-06 | 2015-02-11 | 福特全球技术公司 | Real-time fuel consumption estimation |
| CN107054124A (en) * | 2017-03-10 | 2017-08-18 | 同济大学 | A kind of hybrid power system and method based on vehicle mounted guidance |
| CN107430171A (en) * | 2015-03-04 | 2017-12-01 | 江森自控科技公司 | Battery tester address system and method |
| CN107554320A (en) * | 2017-07-20 | 2018-01-09 | 芜湖赛宝信息产业技术研究院有限公司 | A kind of new fuel cell engine performance test method |
| CN107656207A (en) * | 2017-08-17 | 2018-02-02 | 同济大学 | A kind of dynamic testing method of vehicle fuel battery engine in power assembly loop |
| CN109991956A (en) * | 2019-04-03 | 2019-07-09 | 中国人民解放军国防科技大学 | Method for predicting steady-state fault of liquid rocket engine |
| CN111152690A (en) * | 2018-11-08 | 2020-05-15 | 郑州宇通客车股份有限公司 | Energy control method and system for multi-power-supply time-varying characteristic of fuel cell vehicle |
| CN111572411A (en) * | 2020-04-22 | 2020-08-25 | 郑州宇通客车股份有限公司 | Power system of fuel cell vehicle, energy control method and device |
| CN112977088A (en) * | 2021-03-10 | 2021-06-18 | 陈俊霖 | Control method of fuel cell vehicle |
| CN113002370A (en) * | 2021-04-16 | 2021-06-22 | 吉林大学 | Real-time energy management control method for fuel cell vehicle |
| CN113506901A (en) * | 2021-06-08 | 2021-10-15 | 北京格睿能源科技有限公司 | Method and device for predicting dynamic performance of fuel cell system |
| CN113991151A (en) * | 2021-10-12 | 2022-01-28 | 广东省武理工氢能产业技术研究院 | Fuel cell self-adaptive control method and system based on power prediction |
| CN114435575A (en) * | 2022-03-01 | 2022-05-06 | 深圳国氢新能源科技有限公司 | Ship hybrid power system, energy management control method, equipment and storage medium |
| CN115991123A (en) * | 2023-03-22 | 2023-04-21 | 长安新能源南京研究院有限公司 | Power load state identification method, system, equipment and medium |
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2010
- 2010-01-08 CN CN201010033850A patent/CN101734249A/en active Pending
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102126496A (en) * | 2011-01-24 | 2011-07-20 | 浙江大学 | Parallel hybrid management control system and management control method thereof |
| CN104340218A (en) * | 2013-08-06 | 2015-02-11 | 福特全球技术公司 | Real-time fuel consumption estimation |
| CN107430171A (en) * | 2015-03-04 | 2017-12-01 | 江森自控科技公司 | Battery tester address system and method |
| CN107054124A (en) * | 2017-03-10 | 2017-08-18 | 同济大学 | A kind of hybrid power system and method based on vehicle mounted guidance |
| CN107054124B (en) * | 2017-03-10 | 2023-11-24 | 同济大学 | Hybrid power system and method based on vehicle navigation |
| CN107554320A (en) * | 2017-07-20 | 2018-01-09 | 芜湖赛宝信息产业技术研究院有限公司 | A kind of new fuel cell engine performance test method |
| CN107656207A (en) * | 2017-08-17 | 2018-02-02 | 同济大学 | A kind of dynamic testing method of vehicle fuel battery engine in power assembly loop |
| CN111152690A (en) * | 2018-11-08 | 2020-05-15 | 郑州宇通客车股份有限公司 | Energy control method and system for multi-power-supply time-varying characteristic of fuel cell vehicle |
| CN109991956A (en) * | 2019-04-03 | 2019-07-09 | 中国人民解放军国防科技大学 | Method for predicting steady-state fault of liquid rocket engine |
| CN109991956B (en) * | 2019-04-03 | 2020-07-07 | 中国人民解放军国防科技大学 | Method for predicting steady-state fault of liquid rocket engine |
| CN111572411B (en) * | 2020-04-22 | 2022-08-02 | 宇通客车股份有限公司 | Power system of fuel cell vehicle, energy control method and device |
| CN111572411A (en) * | 2020-04-22 | 2020-08-25 | 郑州宇通客车股份有限公司 | Power system of fuel cell vehicle, energy control method and device |
| CN112977088A (en) * | 2021-03-10 | 2021-06-18 | 陈俊霖 | Control method of fuel cell vehicle |
| CN113002370B (en) * | 2021-04-16 | 2022-06-21 | 吉林大学 | Real-time energy management control method for fuel cell vehicle |
| CN113002370A (en) * | 2021-04-16 | 2021-06-22 | 吉林大学 | Real-time energy management control method for fuel cell vehicle |
| CN113506901B (en) * | 2021-06-08 | 2022-07-12 | 北京格睿能源科技有限公司 | Method and device for predicting dynamic performance of fuel cell system |
| CN113506901A (en) * | 2021-06-08 | 2021-10-15 | 北京格睿能源科技有限公司 | Method and device for predicting dynamic performance of fuel cell system |
| CN113991151A (en) * | 2021-10-12 | 2022-01-28 | 广东省武理工氢能产业技术研究院 | Fuel cell self-adaptive control method and system based on power prediction |
| CN113991151B (en) * | 2021-10-12 | 2023-07-07 | 广东省武理工氢能产业技术研究院 | Fuel cell self-adaptive control method and system based on power prediction |
| CN114435575A (en) * | 2022-03-01 | 2022-05-06 | 深圳国氢新能源科技有限公司 | Ship hybrid power system, energy management control method, equipment and storage medium |
| CN115991123A (en) * | 2023-03-22 | 2023-04-21 | 长安新能源南京研究院有限公司 | Power load state identification method, system, equipment and medium |
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Application publication date: 20100616 |