CN102785575A - Bus energy management method and device based on on-line optimization logic threshold value - Google Patents
Bus energy management method and device based on on-line optimization logic threshold value Download PDFInfo
- Publication number
- CN102785575A CN102785575A CN2011101303347A CN201110130334A CN102785575A CN 102785575 A CN102785575 A CN 102785575A CN 2011101303347 A CN2011101303347 A CN 2011101303347A CN 201110130334 A CN201110130334 A CN 201110130334A CN 102785575 A CN102785575 A CN 102785575A
- Authority
- CN
- China
- Prior art keywords
- module
- population
- logic threshold
- individuality
- signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Electric Propulsion And Braking For Vehicles (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
Abstract
The invention relates to a bus energy management method and a device based on an on-line optimization logic threshold value. The method comprises the following steps: 1) initializing, powering on a key, writing initial population into an individual management module and a population management module, and setting specific value of each individual; 2) writing the specific value in the population into a Flash read-write module, and inputting a first individual in the population into a logic threshold value control strategy module; 3) the logic threshold value control strategy module outputting an engine torque signal and a motor torque signal based on a treadle signal so as to control the traveling of a public bus of mixed power; and so on. The device comprises a signal input module, a controller delayed outage module, a working condition validity judging module, an individual and population management module, a population update module, the Flash read-write module, the logic threshold value control strategy module and a signal output module. Compared with the prior art, the bus energy management method and the device have the advantages of effectively reducing the oil consumption of the bus and the like.
Description
Technical field
The present invention relates to a kind of bus energy management method and device, especially relate to a kind of bus energy management method and device based on the on-line optimization logic threshold.
Background technology
For satisfying people to the environmental protection of automobile increasingly stringent and the technical requirements of energy-conservation two aspects; Before battery technology did not obtain breakthrough, motor vehicle driven by mixed power will replace traditional fuel-engined vehicle gradually in longer a period of time and become the mainstream car design of modern automobile.One of gordian technique of motor vehicle driven by mixed power is the energy management strategy, and promptly how co-operative control driving engine and motor make the fuel economy of motor vehicle driven by mixed power reach optimum.
Public transport is the pith of communication development, and the hybrid power bus is a kind of important urban public transport means of delivery, has good economic benefit and social benefit.
The hybrid vehicle energy management strategy of logic-based threshold value has obtained widespread use, yet its logic threshold Determination of Parameters is a difficult point, and from disclosed data at present, this problem does not also obtain fine solution.
Summary of the invention
The object of the invention is exactly for the defective that overcomes above-mentioned prior art existence a kind of the bus energy management method and device based on the on-line optimization logic threshold that can effectively reduce the bus oil consumption to be provided.
The object of the invention can be realized through following technical scheme:
A kind of bus energy management method based on the on-line optimization logic threshold is characterized in that, may further comprise the steps:
1) initialization, key powers on, and writes initial population to individuality and population management module, and each individual occurrence is set;
2) each individual occurrence in the population is write the Flash module for reading and writing, and first individuality in the population is input to logic threshold control policy module;
3) logic threshold control policy module is controlled the hybrid power bus and is gone according to pedal signal output motor torque and motor torque signal;
4) key is electric down, and the delaying time of controller power-off modular cuts off the power supply after receiving and making the delaying time of controller setting-up time behind the electric signal under the key again;
5) operating mode validity judge module judges whether the operating mode before the hybrid power bus is effective, and the work information after will judging sends to individuality and population management module;
6) individuality and population management module judge whether the reception work information is the actv. signal, if invalid signals does not then write new individuality to logic threshold control policy module, logic threshold control policy module is adopted end-of-use individuality, and returns step 3); If useful signal gets into step 7);
7) individuality and population management module receive oil consumption signal and SOC signal; The comprehensive equivalent fuel consumption values of calculating hybrid power bus under this operating mode also writes Flash module for reading and writing and corresponding with corresponding logic threshold parameter value with it; Whether the population size that is provided with determining step 1 simultaneously) satisfies, if do not satisfy, then from the Flash module for reading and writing read next individual the population and with its assignment to logic threshold control policy module; Cover old individuality, return step 3); If satisfy, then execution in step 8);
8) judge whether to reach the iteration stopping condition that is provided with in the step 1), if not, then the population update module generates population of future generation, returns step 2); If yes, then obtain the minimum optimum individual of comprehensive equivalent fuel consumption values, and afterwards in the hybrid electric urban bus operational process, individuality and population management module are all given this optimum individual to logic threshold control policy module at every turn.
The occurrence of described individuality comprises bound value range, population size, iteration stopping condition.
Described iteration stopping condition is genetic algebra maxim or fitness function accumulative total difference upper limit value.
Whether the operating mode in the described step 5) is effectively judged as follows: operating mode validity judge module is according to GES and key signal; The calculating distance that the hybrid power bus is gone in the time gap of power-on and power-off of key; Whether judge this distance greater than setpoint distance, if yes, think that then this operating mode is effective operating mode; Be in normal running state before the hybrid power bus, otherwise be inefficient condition.
It is following that population update module in the described step 8) generates population of future generation:
The population update module adopts the genetic manipulation of selecting, keep elite, intersection, variation to generate population of future generation according to the individual and cooresponding fitness value of storing in the Flash module for reading and writing.
A kind of device of implementing the described bus energy management method based on the on-line optimization logic threshold of claim 1; It is characterized in that; Comprise signal input module, delaying time of controller power-off modular, operating mode validity judge module, individuality and population management module, population update module, Flash module for reading and writing, logic threshold control policy module, signal output module; Described signal input module is connected with delaying time of controller power-off modular, operating mode validity judge module, individuality and population management module, logic threshold control policy module respectively; Described individuality and population management module are connected with operating mode validity judge module, population update module, Flash module for reading and writing, logic threshold control policy module respectively, and described logic threshold control policy module is connected with signal output module;
Signal input module is used for the required signal of intake operating strategy, comprises fuel consumption rate or fuel consumption signal, SOC signal, key signal, GES;
The delaying time of controller power-off modular is used to make the outage of delaying time of controller certain hour, and controller was operated other module in this time period;
Operating mode validity judge module is used to judge whether the operating mode that the hybrid power bus is experienced is normal operating condition in the time gap of key power-on and power-off;
Individuality and population management module; Individuality is the logic threshold parameter value of one group of energy management strategy; Population several individual colonies that form that serve as reasons, described individuality and population management module be used to judge whether needs with new individual assignment to logic threshold control policy module, whether need be with certain individuals assignment to logic threshold control policy module, needs new population and individuality corresponded to corresponding fitness value more whether;
The population update module is used to produce new population;
The Flash module for reading and writing is used for the occurrence and the corresponding degree of adaptability thereof of recording individual, and remains to next time that controller powers on;
Logic threshold control policy module is used to determine the state that driving engine and motor should be located and calculates the torque value that it should be exported;
Signal output module is used for the output signal of logic threshold control policy module.
Compared with prior art, the present invention has the following advantages:
In the operational process of hybrid power bus; Can be according to the different fuel consumption values of Different Logic threshold value parameter under identical operating mode; The logic threshold value parameter is evolved towards the direction that reduces oil consumption, finally reach the minimum purpose of oil consumption under arbitrary specific operation.
Description of drawings
Fig. 1 is a structured flowchart of the present invention.
The specific embodiment
Below in conjunction with accompanying drawing and specific embodiment the present invention is elaborated.
Embodiment
As shown in Figure 1; Structure of the present invention comprises signal input module, delaying time of controller power-off modular 4, operating mode validity judge module 1, individuality and population management module 2, population update module 3, Flash module for reading and writing 5, logic threshold control policy module 6, signal output module; Described signal input module is connected with delaying time of controller power-off modular 4, operating mode validity judge module 1, individuality and population management module 2, logic threshold control policy module 6 respectively; Described individuality and population management module 2 are connected with operating mode validity judge module 1, population update module 3, Flash module for reading and writing 5, logic threshold control policy module 6 respectively, and described logic threshold control policy module 6 is connected with signal output module;
Signal input module is used for the required signal of intake operating strategy, comprises fuel consumption rate or fuel consumption signal, SOC signal, key signal, GES;
Delaying time of controller power-off modular 4 is used to make the outage of delaying time of controller certain hour, and controller was operated other module in this time period;
Operating mode validity judge module 1 is used to judge whether the operating mode that the hybrid power bus is experienced is normal operating condition in the time gap of key power-on and power-off;
Individuality and population management module 2; Individuality is the logic threshold parameter value of one group of energy management strategy; Population several individual colonies that form that serve as reasons, described individuality and population management module be used to judge whether needs with new individual assignment to logic threshold control policy module, whether need be with certain individuals assignment to logic threshold control policy module, needs new population and individuality corresponded to corresponding fitness value more whether;
Population update module 3 is used to produce new population;
Flash module for reading and writing 5 is used for the occurrence and the corresponding degree of adaptability thereof of recording individual, and remains to next time that controller powers on;
Logic threshold control policy module 6 is used to determine the state that driving engine and motor should be located and calculates the torque value that it should be exported;
Signal output module is used for the output signal of logic threshold control policy module.
Workflow of the present invention is following:
1) initialization, key powers on, and writes initial population to individuality and population management module, and each individual occurrence is set;
2) each individual occurrence in the population is write the Flash module for reading and writing, and first individuality in the population is input to logic threshold control policy module;
3) logic threshold control policy module is controlled the hybrid power bus and is gone according to pedal signal output motor torque and motor torque signal;
4) key is electric down, and the delaying time of controller power-off modular cuts off the power supply after receiving and making the delaying time of controller setting-up time behind the electric signal under the key again;
5) operating mode validity judge module judges whether the operating mode before the hybrid power bus is effective, and the work information after will judging sends to individuality and population management module;
6) individuality and population management module judge whether the reception work information is the actv. signal, if invalid signals does not then write new individuality to logic threshold control policy module, logic threshold control policy module is adopted end-of-use individuality, and returns step 3); If useful signal gets into step 7);
7) individuality and population management module receive oil consumption signal and SOC signal; The comprehensive equivalent fuel consumption values of calculating hybrid power bus under this operating mode also writes Flash module for reading and writing and corresponding with corresponding logic threshold parameter value with it; Whether the population size that is provided with determining step 1 simultaneously) satisfies, if do not satisfy, then from the Flash module for reading and writing read next individual the population and with its assignment to logic threshold control policy module; Cover old individuality, return step 3); If satisfy, then execution in step 8);
8) judge whether to reach the iteration stopping condition that is provided with in the step 1), if not, then the population update module generates population of future generation, returns step 2); If yes, then obtain the minimum optimum individual of comprehensive equivalent fuel consumption values, and afterwards in the hybrid electric urban bus operational process, individuality and population management module are all given this optimum individual to logic threshold control policy module at every turn.
The occurrence of described individuality comprises bound value range, population size, iteration stopping condition.
Described iteration stopping condition is genetic algebra maxim or fitness function accumulative total difference upper limit value.
Whether the operating mode in the described step 5) is effectively judged as follows: operating mode validity judge module is according to GES and key signal; The calculating distance that the hybrid power bus is gone in the time gap of power-on and power-off of key; Whether judge this distance greater than setpoint distance, if yes, think that then this operating mode is effective operating mode; Be in normal running state before the hybrid power bus, otherwise be inefficient condition.
It is following that population update module in the described step 8) generates population of future generation:
The population update module adopts the genetic manipulation of selecting, keep elite, intersection, variation to generate population of future generation according to the individual and cooresponding fitness value of storing in the Flash module for reading and writing.
Claims (6)
1. the bus energy management method based on the on-line optimization logic threshold is characterized in that, may further comprise the steps:
1) initialization, key powers on, and writes initial population to individuality and population management module, and each individual occurrence is set;
2) each individual occurrence in the population is write the Flash module for reading and writing, and first individuality in the population is input to logic threshold control policy module;
3) logic threshold control policy module is controlled the hybrid power bus and is gone according to pedal signal output motor torque and motor torque signal;
4) key is electric down, and the delaying time of controller power-off modular cuts off the power supply after receiving and making the delaying time of controller setting-up time behind the electric signal under the key again;
5) operating mode validity judge module judges whether the operating mode before the hybrid power bus is effective, and the work information after will judging sends to individuality and population management module;
6) individuality and population management module judge whether the reception work information is the actv. signal, if invalid signals does not then write new individuality to logic threshold control policy module, logic threshold control policy module is adopted end-of-use individuality, and returns step 3); If useful signal gets into step 7);
7) individuality and population management module receive oil consumption signal and SOC signal; The comprehensive equivalent fuel consumption values of calculating hybrid power bus under this operating mode also writes Flash module for reading and writing and corresponding with corresponding logic threshold parameter value with it; Whether the population size that is provided with determining step 1 simultaneously) satisfies, if do not satisfy, then from the Flash module for reading and writing read next individual the population and with its assignment to logic threshold control policy module; Cover old individuality, return step 3); If satisfy, then execution in step 8);
8) judge whether to reach the iteration stopping condition that is provided with in the step 1), if not, then the population update module generates population of future generation, returns step 2); If yes, then obtain the minimum optimum individual of comprehensive equivalent fuel consumption values, and afterwards in the hybrid electric urban bus operational process, individuality and population management module are all given this optimum individual to logic threshold control policy module at every turn.
2. a kind of bus energy management method based on the on-line optimization logic threshold according to claim 1 is characterized in that, the occurrence of described individuality comprises bound value range, population size, iteration stopping condition.
3. a kind of bus energy management method based on the on-line optimization logic threshold according to claim 2 is characterized in that, described iteration stopping condition is genetic algebra maxim or fitness function accumulative total difference upper limit value.
4. a kind of bus energy management method according to claim 1 based on the on-line optimization logic threshold; It is characterized in that; Whether the operating mode in the described step 5) is effectively judged as follows: operating mode validity judge module calculates the distance that the hybrid power bus is gone in the time gap of power-on and power-off of key according to GES and key signal, judges that whether this distance is greater than setpoint distance; If yes; Think that then this operating mode is effective operating mode, be in normal running state before the hybrid power bus, otherwise be inefficient condition.
5. a kind of bus energy management method based on the on-line optimization logic threshold according to claim 1 is characterized in that it is following that the population update module in the described step 8) generates population of future generation:
The population update module adopts the genetic manipulation of selecting, keep elite, intersection, variation to generate population of future generation according to the individual and cooresponding fitness value of storing in the Flash module for reading and writing.
6. device of implementing the described bus energy management method based on the on-line optimization logic threshold of claim 1; It is characterized in that; Comprise signal input module, delaying time of controller power-off modular, operating mode validity judge module, individuality and population management module, population update module, Flash module for reading and writing, logic threshold control policy module, signal output module; Described signal input module is connected with delaying time of controller power-off modular, operating mode validity judge module, individuality and population management module, logic threshold control policy module respectively; Described individuality and population management module are connected with operating mode validity judge module, population update module, Flash module for reading and writing, logic threshold control policy module respectively, and described logic threshold control policy module is connected with signal output module;
Signal input module is used for the required signal of intake operating strategy, comprises fuel consumption rate or fuel consumption signal, SOC signal, key signal, GES;
The delaying time of controller power-off modular is used to make the outage of delaying time of controller certain hour, and controller was operated other module in this time period;
Operating mode validity judge module is used to judge whether the operating mode that the hybrid power bus is experienced is normal operating condition in the time gap of key power-on and power-off;
Individuality and population management module; Individuality is the logic threshold parameter value of one group of energy management strategy; Population several individual colonies that form that serve as reasons, described individuality and population management module be used to judge whether needs with new individual assignment to logic threshold control policy module, whether need be with certain individuals assignment to logic threshold control policy module, needs new population and individuality corresponded to corresponding fitness value more whether;
The population update module is used to produce new population;
The Flash module for reading and writing is used for the occurrence and the corresponding degree of adaptability thereof of recording individual, and remains to next time that controller powers on;
Logic threshold control policy module is used to determine the state that driving engine and motor should be located and calculates the torque value that it should be exported;
Signal output module is used for the output signal of logic threshold control policy module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110130334.7A CN102785575B (en) | 2011-05-19 | 2011-05-19 | Bus energy management method and device based on on-line optimization logic threshold value |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110130334.7A CN102785575B (en) | 2011-05-19 | 2011-05-19 | Bus energy management method and device based on on-line optimization logic threshold value |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102785575A true CN102785575A (en) | 2012-11-21 |
| CN102785575B CN102785575B (en) | 2015-04-08 |
Family
ID=47151227
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110130334.7A Active CN102785575B (en) | 2011-05-19 | 2011-05-19 | Bus energy management method and device based on on-line optimization logic threshold value |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102785575B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104608637A (en) * | 2014-12-08 | 2015-05-13 | 惠州市亿能电子有限公司 | Power-on and power-off control method for electric automobile |
| CN106055830A (en) * | 2016-06-20 | 2016-10-26 | 吉林大学 | PHEV (Plug-in Hybrid Electric Vehicle) control threshold parameter optimization method based on dynamic programming |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101125548A (en) * | 2007-09-07 | 2008-02-20 | 南京工业职业技术学院 | Energy flow controlling method for parallel type mixed power system |
| CN101492046A (en) * | 2008-11-25 | 2009-07-29 | 吉林大学 | Parallel type hybrid vehicles energy management and assembly coordinated control method |
| CN201699394U (en) * | 2010-06-10 | 2011-01-05 | 重汽集团专用汽车公司 | Engine flameout automatic power-off control device |
-
2011
- 2011-05-19 CN CN201110130334.7A patent/CN102785575B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101125548A (en) * | 2007-09-07 | 2008-02-20 | 南京工业职业技术学院 | Energy flow controlling method for parallel type mixed power system |
| CN101492046A (en) * | 2008-11-25 | 2009-07-29 | 吉林大学 | Parallel type hybrid vehicles energy management and assembly coordinated control method |
| CN201699394U (en) * | 2010-06-10 | 2011-01-05 | 重汽集团专用汽车公司 | Engine flameout automatic power-off control device |
Non-Patent Citations (1)
| Title |
|---|
| 乐文峰: "遗传算法在混合动力汽车能量管理策略及匹配优化中的应用", 《同济大学硕士学位论文》, 19 October 2009 (2009-10-19) * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104608637A (en) * | 2014-12-08 | 2015-05-13 | 惠州市亿能电子有限公司 | Power-on and power-off control method for electric automobile |
| CN104608637B (en) * | 2014-12-08 | 2017-03-29 | 惠州市亿能电子有限公司 | A kind of electric automobile power-on and power-off control method |
| CN106055830A (en) * | 2016-06-20 | 2016-10-26 | 吉林大学 | PHEV (Plug-in Hybrid Electric Vehicle) control threshold parameter optimization method based on dynamic programming |
| CN106055830B (en) * | 2016-06-20 | 2019-01-25 | 吉林大学 | PHEV based on Dynamic Programming controls threshold parameter optimization method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102785575B (en) | 2015-04-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Shabbir et al. | Threshold-changing control strategy for series hybrid electric vehicles | |
| Chen et al. | An on-line predictive energy management strategy for plug-in hybrid electric vehicles to counter the uncertain prediction of the driving cycle | |
| CN102126496B (en) | Parallel hybrid management control system and management control method thereof | |
| Wang et al. | Optimal design and real-time control for energy management in electric vehicles | |
| Wirasingha et al. | Classification and review of control strategies for plug-in hybrid electric vehicles | |
| CN102267453B (en) | Energy management method for stroke-increased electric motor car | |
| Liu et al. | Rule-corrected energy management strategy for hybrid electric vehicles based on operation-mode prediction | |
| CN111137176A (en) | Method for simulating whole vehicle energy control strategy by fuel cell power system platform | |
| CN104071033A (en) | Method for matching and optimizing parameters of mixed power locomotive with fuel cell and super capacitor | |
| CN105818705B (en) | Electric vehicle charge control method and electric vehicle charge control device | |
| He et al. | Global Optimal Energy Management Strategy Research for a Plug‐In Series‐Parallel Hybrid Electric Bus by Using Dynamic Programming | |
| CN103970078B (en) | A kind of automobile power source Intelligent management control system | |
| CN104408257A (en) | Simulated annealing particle swarm algorithm based hybrid power automobile parameter optimization method | |
| CN104401232A (en) | Electric vehicle torque optimization method based on data driven predictive control | |
| CN103700871B (en) | Locomotive proton exchange film fuel battery system optimum efficiency control method | |
| CN104071102A (en) | Double-voltage electric control method and double-voltage electric control system for automobile and automobile | |
| CN105501214A (en) | Method for controlling battery of mild hybrid vehicle | |
| CN102019925B (en) | General control method of whole electric automobile controller based on singlechip | |
| CN102529729B (en) | A kind of regenerating brake control method of hybrid vehicle | |
| CN103029593A (en) | Power supply control method and device and power supply device of electric automobile power system | |
| CN102467598A (en) | Vehicle performance simulation system | |
| CN105162236A (en) | Composite energy power distribution system | |
| CN102555816B (en) | A kind of regenerating brake control method of hybrid vehicle | |
| CN102785575A (en) | Bus energy management method and device based on on-line optimization logic threshold value | |
| CN110758121B (en) | Energy management system based on hierarchical control |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |