CN204526865U - Based on the dual energy source electric car energy management system of fuzzy control - Google Patents
Based on the dual energy source electric car energy management system of fuzzy control Download PDFInfo
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- CN204526865U CN204526865U CN201520226698.9U CN201520226698U CN204526865U CN 204526865 U CN204526865 U CN 204526865U CN 201520226698 U CN201520226698 U CN 201520226698U CN 204526865 U CN204526865 U CN 204526865U
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- energy management
- storage battery
- super capacitor
- electric car
- fuzzy controller
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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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Abstract
The utility model discloses a kind of dual energy source electric car energy management system based on fuzzy control, comprise storage battery, super capacitor, drive system, wherein, also comprise energy management fuzzy controller, described storage battery and super capacitor are connected with energy management fuzzy controller respectively, two-way DC/DC changer is connected with between described super capacitor and energy management fuzzy controller, described energy management fuzzy controller is connected with drive system, the horsepower output P of described energy management fuzzy Control storage battery and super capacitor
eSSand charging.The utility model can be efficient, intelligent management dual energy source energy, the performance of battery of electric vehicle module is given full play to.
Description
Technical field
The utility model relates to the energy hole of dual energy source electric car, particularly a kind of dual energy source electric car energy management system based on fuzzy control.
Background technology
Also fewer about the technology of pure electric automobile dual energy management system at present, the existing research about dual energy source mainly concentrates on the energy system of fuel cell powered vehicle or hybrid-electric car.Under these occasions, dual energy origin system is as ancillary system work, not high to control overflow, mostly directly analyzes its mode of operation, then according to the simple control law of Working mode set, and energy management problem is not done to the elaboration of system.And in pure electric automobile, dual energy source is main energy source, its controller performance directly decides acceleration capability and the economic performance of vehicle.
Therefore, be badly in need of developing a kind of management dual energy source energy that can be efficient, intelligent, the dual energy source electric car energy management system based on fuzzy control that the performance of battery of electric vehicle module is given full play to.
Summary of the invention
In view of this, the purpose of this utility model is to provide a kind of dual energy source electric car energy management system based on fuzzy control, and management dual energy source energy that can be efficient, intelligent, makes the performance of battery of electric vehicle module be given full play to.
Dual energy source electric car energy management system based on fuzzy control of the present utility model, comprise storage battery, super capacitor, drive system, wherein, also comprise energy management fuzzy controller, described storage battery and super capacitor are connected with energy management fuzzy controller respectively, two-way DC/DC changer is connected with between described super capacitor and energy management fuzzy controller, described energy management fuzzy controller is connected with drive system, the horsepower output P of described energy management fuzzy Control storage battery and super capacitor
eSSand charging.
Further, described energy management fuzzy controller adopts three inputs, single export structure, and wherein three inputs are respectively vehicle needs power P
req, storage battery charge state SOC
bat, super capacitor state-of-charge SOC
sC, export as power of battery distribution factor K
bat.
Further, described energy management fuzzy controller comprises input specification module, obfuscation module, inference machine module, the defuzzification module of connecting successively, and described inference machine model calling has base module.
Further, the horsepower output P of described storage battery and super capacitor
eSS=storage battery horsepower output P
bat+ super capacitor horsepower output P
sC.
Further, described storage battery is lead-acid storage battery or lithium ion battery or nickel-hydrogen accumulator.
The beneficial effects of the utility model: the dual energy source electric car energy management system based on fuzzy control of the present utility model, by arranging energy management fuzzy controller, both can control the horsepower output P of storage battery and super capacitor
eSStravel to drive vehicle, regenerating braking energy can be accepted again charge to storage battery and super capacitor, thus management dual energy source energy that can be efficient, intelligent, the performance of battery of electric vehicle module is given full play to, the capacity usage ratio of abundant digging vehicle, reduces battery module fault, extends the service life of battery module, increase the safety in utilization of electronlmobil, improve economic performance and the acceleration capability of electronlmobil.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the utility model is further described:
Fig. 1 is structural representation of the present utility model;
Fig. 2 is the structural representation of the utility model energy management fuzzy controller.
Detailed description of the invention
Fig. 1 is structural representation of the present utility model, Fig. 2 is the structural representation of the utility model energy management fuzzy controller, as shown in the figure: the dual energy source electric car energy management system based on fuzzy control of the present embodiment, comprise storage battery 1, super capacitor 2, drive system 3, storage battery 1 and super capacitor 2, for powering to drive system 3, travel to drive vehicle.Also comprise energy management fuzzy controller 4, described storage battery 1 is connected with energy management fuzzy controller 4 respectively with super capacitor 2, two-way DC/DC changer 5 is connected with between described super capacitor 2 and energy management fuzzy controller 4, described energy management fuzzy controller 4 is connected with drive system 3, and described energy management fuzzy controller 4 controls the horsepower output P of storage battery 1 and super capacitor 2
eSSand charging, by arranging energy management fuzzy controller 4, both can to the horsepower output P of storage battery 1 and super capacitor 2
eSScarry out controlling to drive vehicle to travel, regenerating braking energy can be accepted again storage battery 1 and super capacitor 2 are charged, the performance of battery of electric vehicle module is given full play to.
In the present embodiment, described energy management fuzzy controller 4 adopts three inputs, single export structure, and wherein three inputs are respectively vehicle needs power P
req, storage battery charge state SOC
bat, super capacitor state-of-charge SOC
sC, export as power of battery distribution factor K
bat.
In the present embodiment, described energy management fuzzy controller 4 comprises the input specification module 6 of connecting successively, obfuscation module 7, inference machine module 8, defuzzification module 9, described inference machine module 8 is connected with base module 10, first three precision and quantity-variations of input can be converted into fuzzy quantity by input specification module 6 and obfuscation module 7, detailed process comprises domain conversion and obfuscation two parts, then reasoning and judging is carried out by base module 10 and inference machine module 8, finally the precise volume that the reasoning results is converted into variable by defuzzification module 9 by fuzzy quantity is exported.
In the present embodiment, the horsepower output P of described storage battery 1 and super capacitor 2
eSS=storage battery horsepower output P
bat+ super capacitor horsepower output P
sC.
In the present embodiment, described storage battery 1 is lead-acid storage battery or lithium ion battery or nickel-hydrogen accumulator.
During utility model works, when normally travelling, energy management system exports electrical energy drive motor by power bus, motor by power transimission to drive wheel, to overcome the various resistance power such as rolling resistance, air resistance, grade resistance and resistance due to acceleration on drive wheel.
The working process of energy management fuzzy controller is:
1) three precision and quantity-variations of input are converted into fuzzy quantity, detailed process comprises domain conversion and obfuscation two parts;
2) reasoning and judging is carried out according to fuzzy control storehouse;
3) the reasoning results is converted into the precise volume of variable by fuzzy quantity;
4) the precise volume management automobile energy system exported, completes following control:
When vehicle start, the preferential heavy-current discharge of super capacitor, starts automobile; When automobile is with cruising speeds, under the condition ensureing automobile normal running, storage battery is preferentially allowed to work independently; When automobile emergency gives it the gun, storage battery and super capacitor work simultaneously, export big current and meet electrical motor high power requirements.Meanwhile, energy management fuzzy controller regulates the ratio of storage battery and super capacitor outgoing current exactly, the output of both restrictions electric current, to extend their life-span; When automobile brake slows down, electrical motor regenerative current is after two-way DC/DC changer, and according to control policy, preferentially to super capacitor charging, redundance energy charges a battery.
What finally illustrate is, above embodiment is only in order to illustrate the technical solution of the utility model and unrestricted, although be described in detail the utility model with reference to preferred embodiment, those of ordinary skill in the art is to be understood that, can modify to the technical solution of the utility model or equivalent replacement, and not departing from aim and the scope of technical solutions of the utility model, it all should be encompassed in the middle of right of the present utility model.
Claims (5)
1. the dual energy source electric car energy management system based on fuzzy control, comprise storage battery, super capacitor, drive system, it is characterized in that: also comprise energy management fuzzy controller, described storage battery and super capacitor are connected with energy management fuzzy controller respectively, two-way DC/DC changer is connected with between described super capacitor and energy management fuzzy controller, described energy management fuzzy controller is connected with drive system, the horsepower output P of described energy management fuzzy Control storage battery and super capacitor
eSSand charging.
2. the dual energy source electric car energy management system based on fuzzy control according to claim 1, is characterized in that: described energy management fuzzy controller adopts three inputs, single export structure, and wherein three inputs are respectively vehicle needs power P
req, storage battery charge state SOC
bat, super capacitor state-of-charge SOC
sC, export as power of battery distribution factor K
bat.
3. the dual energy source electric car energy management system based on fuzzy control according to claim 1 and 2, it is characterized in that: described energy management fuzzy controller comprises input specification module, obfuscation module, inference machine module, the defuzzification module of connecting successively, and described inference machine model calling has base module.
4. the dual energy source electric car energy management system based on fuzzy control according to claim 1, is characterized in that: the horsepower output P of described storage battery and super capacitor
eSS=storage battery horsepower output P
bat+ super capacitor horsepower output P
sC.
5. the dual energy source electric car energy management system based on fuzzy control according to claim 1, is characterized in that: described storage battery is lead-acid storage battery or lithium ion battery or nickel-hydrogen accumulator.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106347162A (en) * | 2016-11-01 | 2017-01-25 | 大连民族大学 | Hybrid power management and control system and hybrid power management and control method for electric racing car based on super-capacitor |
CN106899206A (en) * | 2017-04-19 | 2017-06-27 | 长春汽车工业高等专科学校 | A kind of electric automobile is powered with high power D C DC converters and control method |
CN109808512A (en) * | 2019-01-08 | 2019-05-28 | 武汉理工大学 | Hybrid power fuel cell car simulation control method and system |
CN110979030A (en) * | 2019-11-18 | 2020-04-10 | 杭州电子科技大学 | Composite fuzzy control electric automobile composite power supply system control method |
CN111137171A (en) * | 2020-01-05 | 2020-05-12 | 开沃新能源汽车集团有限公司 | Parameter optimization design method for fuzzy controller of composite power system |
CN111196161A (en) * | 2020-01-20 | 2020-05-26 | 东营科技职业学院 | New energy automobile energy recovery control device and control method thereof |
-
2015
- 2015-04-15 CN CN201520226698.9U patent/CN204526865U/en not_active Expired - Fee Related
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106347162A (en) * | 2016-11-01 | 2017-01-25 | 大连民族大学 | Hybrid power management and control system and hybrid power management and control method for electric racing car based on super-capacitor |
CN106347162B (en) * | 2016-11-01 | 2018-11-27 | 大连民族大学 | Electronic racing car hybrid power power source management control system based on super capacitor |
CN106899206A (en) * | 2017-04-19 | 2017-06-27 | 长春汽车工业高等专科学校 | A kind of electric automobile is powered with high power D C DC converters and control method |
CN109808512A (en) * | 2019-01-08 | 2019-05-28 | 武汉理工大学 | Hybrid power fuel cell car simulation control method and system |
CN110979030A (en) * | 2019-11-18 | 2020-04-10 | 杭州电子科技大学 | Composite fuzzy control electric automobile composite power supply system control method |
CN111137171A (en) * | 2020-01-05 | 2020-05-12 | 开沃新能源汽车集团有限公司 | Parameter optimization design method for fuzzy controller of composite power system |
CN111196161A (en) * | 2020-01-20 | 2020-05-26 | 东营科技职业学院 | New energy automobile energy recovery control device and control method thereof |
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