CN105459844A - Multi-mode energy management method for extended-range electric vehicle - Google Patents

Multi-mode energy management method for extended-range electric vehicle Download PDF

Info

Publication number
CN105459844A
CN105459844A CN201511023898.5A CN201511023898A CN105459844A CN 105459844 A CN105459844 A CN 105459844A CN 201511023898 A CN201511023898 A CN 201511023898A CN 105459844 A CN105459844 A CN 105459844A
Authority
CN
China
Prior art keywords
vehicle
pattern
distance
electricity
chaufeur
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
Application number
CN201511023898.5A
Other languages
Chinese (zh)
Other versions
CN105459844B (en
Inventor
张承宁
周维
王志福
李军求
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Institute of Technology BIT
Original Assignee
Beijing Institute of Technology BIT
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Institute of Technology BIT filed Critical Beijing Institute of Technology BIT
Priority to CN201511023898.5A priority Critical patent/CN105459844B/en
Publication of CN105459844A publication Critical patent/CN105459844A/en
Application granted granted Critical
Publication of CN105459844B publication Critical patent/CN105459844B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • B60L50/00—Electric propulsion with power supplied within the vehicle
    • B60L50/50—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
    • 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
    • B60L50/00—Electric propulsion with power supplied within the vehicle
    • B60L50/50—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
    • B60L50/60—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries
    • B60L50/61—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries by batteries charged by engine-driven generators, e.g. series hybrid electric vehicles
    • 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
    • Y02T10/62—Hybrid vehicles
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The invention provides a multi-mode energy management method for an extended-range electric vehicle. The method is characterized in that a vehicle control unit automatically judges and switches the working mode of the vehicle according to the expectation to the vehicle power performance, input by a driver, the vehicle position information and road condition information provided by vehicle-mounted geographic information equipment as well as the current state information of the vehicle, and manages the power distribution between a range extender and a power battery according to the selected control mode, wherein the power distribution management is based on the power distribution strategy of the Pontryagin minimum value principle so as to realize optimal power distribution. The method improves the driving experience of the extended-range electric vehicle and meets the energy management strategy of the vehicle power performance in different road conditions.

Description

A kind of stroke-increasing electric automobile multi-mode energy management method
Technical field
The invention belongs to new-energy automobile control technology field, be specifically related to a kind of stroke-increasing electric automobile multi-mode energy management method.
Background technology
Stroke-increasing electric automobile by installing a small-sized distance increasing unit additional as auxiliary energy source on the basis of pure electric automobile, effectively extend the continual mileage of pure electric automobile, eliminate " the mileage anxiety " of chaufeur, be considered to the new-energy automobile type having development prospect.At present, the typical control model of stroke-increasing electric automobile is as follows: first control vehicle and travel with electric-only mode, when battery electric quantity drops to certain limit value, control vehicle and enter increasing journey pattern, distance increasing unit starts, and is maintained near lower limit by the electricity of electrokinetic cell while providing energy for vehicle traveling.Generally above-mentioned master mode is called in this area that electric quantity consumption-electricity maintains (CD-CS) pattern.Under CD-CS pattern, because the power of distance increasing unit is less, vehicle the electricity maintenance stage there will be run at high speed time tractive performance deficiency problem, affect the driving experience of chaufeur.Certainly, the distance increasing unit enough large by mesh power can address this problem, but this can increase the volume and weight of distance increasing unit, runs counter to the design concept of stroke-increasing electric automobile.Therefore, how to utilize mated miniwatt distance increasing unit, solving the electricity maintenance stage by rational energy management control policy and to run at high speed the problem of tractive performance deficiency, is ensure that stroke-increasing electric automobile has the key of good driving experience.
The research of stroke-increasing electric automobile energy management strategies is concentrated on mostly on the fuel economy how improving the electricity maintenance stage in current document.As patent of invention CN102951037A discloses a kind of thinking can selecting different-energy operating strategy according to driving cycle, the fuel-economy economy of stroke-increasing electric automobile under different driving cycle can be improved, but still cannot solve the electricity maintenance stage and to run at high speed the problem of tractive performance deficiency.
Different chaufeurs is to the expectation of vehicles dynamic performance and require different.Some chaufeurs require height to tractive performance, wish that vehicle all shows abundant power in whole driving process, and some chaufeurs then can accept the deficiency of vehicle at electricity maintenance stage tractive performance.When design energy operating strategy, the tractive performance adapting to chaufeur different to vehicle is needed to expect.
When running at high speed under increasing journey pattern for above-mentioned stroke-increasing electric automobile, tractive performance is not enough, the problem that chaufeur is expected vehicles dynamic performance cannot be adapted to, the invention provides in a kind of engineering feasible, and the stroke-increasing electric automobile multi-mode energy management strategies that fuel economy is higher, improve the driving experience of stroke-increasing electric automobile, meet the energy management strategies of the power performance of different road conditions.
Summary of the invention
The present invention considers the vehicle location and simple traffic information that chaufeur provides the expectation of vehicles dynamic performance, the pure electronic continual mileage of vehicle and vehicle-mounted or portable geography information equipment, devise a kind of multi-mode energy management strategies, in order to improve the driving experience of stroke-increasing electric automobile.
The present invention is achieved through the following technical solutions: stroke-increasing electric automobile multi-mode energy management control method, comprises the following steps:
S01: the road conditions proportion in the distance D between entire car controller reception current vehicle position to destination, residue distance shared by different sections of highway and chaufeur are to the expectation information of vehicles dynamic performance;
S02: entire car controller estimates the pure electronic continual mileage F of vehicle according to above-mentioned distance D, road conditions proportion and the chaufeur expectation information to vehicles dynamic performance;
If above-mentioned distance D is less than above-mentioned continual mileage F, then controls vehicle and travel with electric-only mode, under this driving mode, the distance increasing unit of vehicle is closed; Otherwise enter step S03;
S03: if the driving cycle in future does not have superpower operating mode, then control vehicle and maintain (CD-CS) pattern traveling with electric quantity consumption-electricity.This electric quantity consumption-electricity maintains vehicle in (CD-CS) pattern and is first operated in electric-only mode, and after electrokinetic cell residue carrying capacity SoC drops to reference value, enter electricity maintain (CS) pattern, control SoC maintains particular value.Otherwise enter step S04;
S04: if chaufeur is expected high to the tractive performance of vehicle, then start distance increasing unit, control vehicle to travel to mix (BL) pattern, mixing (BL) pattern travels medium power battery SoC and declines with traveling range line in whole driving process, otherwise enters step S05;
S05: if chaufeur is expected not high to the tractive performance of vehicle, then control vehicle and still maintain (CD-CS) pattern traveling with electric quantity consumption-electricity.
Further, if perform in step S04 process, entire car controller detects that chaufeur, to the expectation information of the tractive performance of vehicle, change from high to low occurs, then close distance increasing unit, controls vehicle and maintains (CD-CS) pattern traveling with electric quantity consumption-electricity.
Further, if perform in row step S05 process, entire car controller detects that chaufeur is expected change from low to high occurs to the tractive performance of vehicle, and vehicle is at pure motor driving, then start distance increasing unit, control vehicle and travel to mix (BL) pattern.
Further, the future travel operating mode in step S03 is city operating mode.
Further, in electricity maintenance (CS) pattern, electricity maintenance target is decided to be constant value 30%.
Further, the distance D between described current vehicle position to destination and the road conditions proportion remained in distance shared by different sections of highway are by obtaining after portable geography information equipment or in-vehicle geography information equipment access car load network.
Further, S05 is under later stage high-speed working condition, and the maximum speed of entire car controller to vehicle limits, and described maximum speed value is determined according to the output rating value of distance increasing unit.
Further, the expectation information of described chaufeur to vehicles dynamic performance is input to entire car controller by external input device, and described external input device is one or more in panel switch, acoustic control input, key-press input, handwriting input.
Further, the power division that electricity maintains under (CS) pattern and mixing (BL) pattern between distance increasing unit and electrokinetic cell calculates based on Pang Te lia king minimal principle, by making to obtain best power division between the minimum guarantee distance increasing unit of system Hamiltonian function value and electrokinetic cell.
The application also relates to a kind of stroke-increasing electric automobile, and it uses above-mentioned method.
In each control cycle, the expectation to vehicles dynamic performance that entire car controller inputs according to chaufeur, the vehicle location that vehicle-mounted (or portable) geography information equipment provides and following traffic information, and the state that vehicle is current (the pure electronic continual mileage of vehicle), which kind of should be operated in pattern to vehicle judge and select, and according to selected master mode, corresponding management is carried out to the power division between distance increasing unit and electrokinetic cell, realize the function under each master mode.
Accompanying drawing explanation
Fig. 1 is the flow process of the first multi-mode energy management control policy proposed by the invention.
Fig. 2 is the flow process of the second multi-mode energy management control policy proposed by the invention.
Fig. 3 is the flow process of the 3rd multi-mode energy management control policy proposed by the invention.
Fig. 4 is the variation track of power battery charged state under different mode (SoC) with vehicle operating range.
Detailed description of the invention
Now further illustrate by reference to the accompanying drawings.
For improving a multi-mode energy management control method for stroke-increasing electric automobile driving experience, said method comprising the steps of:
S01: the road conditions proportion in the distance D between entire car controller reception current vehicle position to destination, residue distance shared by different sections of highway and chaufeur are to the expectation information of vehicles dynamic performance.
The concrete acquisition pattern that above-mentioned entire car controller is received information is as follows:
Vehicle-mounted or portable geography information equipment obtains the distance D between current vehicle position to destination, hereinafter referred to as distance D, and the road conditions proportion in residue distance shared by different sections of highway, section includes but not limited to city road, fastlink and cross-country section, section, desert etc.; Above-mentioned distance D and road conditions proportion is sent to entire car controller by CAN;
It is input to entire car controller to the expectation information of vehicles dynamic performance by external input device by chaufeur, and external input device can be one or more in panel switch, acoustic control input, key-press input or handwriting input.
S02: entire car controller estimates the pure electronic continual mileage F of vehicle according to above-mentioned distance D, described road conditions proportion and the expectation information of chaufeur to vehicles dynamic performance, hereinafter referred to as mileage F, and carries out judgement and the selection of master mode.
If distance D is less than mileage F, then control vehicle and travel with electric-only mode, under this driving mode, the distance increasing unit of vehicle is closed, its travel needed for energy all come from electrokinetic cell.Otherwise enter step S03.
S03: if distance D is greater than mileage F, and the driving cycle in future does not have superpower operating mode, do not have such as future high-speed working condition or driving cycle to be city operating mode, then control vehicle and maintain (CD-CS) pattern traveling with electric quantity consumption in Fig. 4-electricity.This electric quantity consumption-electricity maintains vehicle in (CD-CS) pattern and is first operated in electric-only mode, after electrokinetic cell residue carrying capacity SoC drops to 30%, enter electricity maintain (CS) pattern, this electricity maintains the optimal power contribution strategy between distance increasing unit and electrokinetic cell that C/S mode maintains based on SoC, preferably, electricity maintenance target is decided to be constant value 30%.Otherwise enter step S04.
S04: if chaufeur is expected high to the tractive performance of vehicle, then start distance increasing unit, control vehicle and sail with the first mixing BL1 pattern in Fig. 4, electrokinetic cell SoC declines with traveling range line in whole driving process.Otherwise enter step S05.
S05: if chaufeur is expected not high to the tractive performance of vehicle, then control vehicle and still travel with CD-CS pattern.Vehicle is first operated in electric-only mode, enters electricity and maintain pattern after electrokinetic cell SoC drops to 30%, and preferably, electricity maintains target and is decided to be constant value 30%.When later stage high-speed working condition, put to not cause electrokinetic cell, the maximum speed of entire car controller to vehicle limits, and Maximum speed limit value is determined according to the output rating value of distance increasing unit.
Perform in step S04 process (as S in Fig. 4 as shown in Figure 2 1place), entire car controller detects that chaufeur is expected change from high to low occurs to the tractive performance of vehicle, then close distance increasing unit, controls vehicle and travels with the electric quantity consumption in Fig. 4-electricity maintenance CD '-C/S mode.
As shown in Figure 3, perform in step S05 process, if Fig. 4 entire car controller detects that chaufeur is expected change from low to high occurs to the tractive performance of vehicle, and vehicle (S in as Fig. 4 when pure motor driving 0place), then start distance increasing unit, control vehicle and travel with the second mixing BL2 pattern in Fig. 4.
In order to ensure that vehicle obtains good fuel economy, in multi-mode energy management control method proposed by the invention, power division under CS, BL1 and BL2 pattern between distance increasing unit and electrokinetic cell is based on Pang Te lia king minimal principle Design and implementation, by making to obtain best power division between the minimum guarantee distance increasing unit of system Hamiltonian function value and electrokinetic cell, and by online updating controlling elements, namely the association's state variable λ value in Hamiltonian function, realizes the tracing control with reference to SoC track.
Realize the above-mentioned power distribution method based on Pang Te lia king minimal principle to comprise the following steps:
A) off-line constructs the mapping form between system Hamiltonian functional value and vehicle corresponding state, is stored in entire car controller flash.Vehicle corresponding state comprises distance increasing unit horsepower output, the instantaneous electricity SoC of electrokinetic cell, temperature, car load demand power and controlling elements λ, and the mapping relations in mapping form are determined by following formula:
H = m · f + λ S o C ·
Mapping form example under certain specific λ and SoC value as shown in Figure 2.
In formula, be correspond to the fuel consumption rate of distance increasing unit maximal efficiency curve, it be the function of distance increasing unit horsepower output, or is jointly determined by the best fuel oil consumption curve of distance increasing unit, horsepower output and ambient temperature, also can be obtained by platform experiment demarcation; λ is the factor controlling electrokinetic cell SoC change; represent the rate of change of electrokinetic cell SoC.
function for car load demand power, distance increasing unit horsepower output, the current SoC of electrokinetic cell and ambient temperature:
S o C · = - U o c ( S o C , T ) - U o c 2 ( S o C , T ) - 4 ( P d c - P E ) R b ( S o C , T ) 2 R b ( S o C , T ) Q n o m
In formula, U ocrepresent the open circuit voltage of electrokinetic cell; T is temperature of powered cell; P dcfor car load demand power; P efor distance increasing unit horsepower output; R bfor electrokinetic cell internal resistance; Q nomfor electrokinetic cell rated capacity, Q nomfor constant value.
also can demarcate based on the equivalent internal resistance model of electrokinetic cell and test figures and obtain.
B) entire car controller obtains the instantaneous SoC information of electrokinetic cell that sends of BMS by CAN, set reference SoC value current under itself and present mode compared, the difference according to both adjusts the controlling elements λ affecting SoC change in control policy and revises.The adjustment of controlling elements λ is realized by a PI control module:
λ(k)＝λ 0+k p(SoC(k)-SoC ref(k))+k i∑SoC(i)-SoC ref(k)
In formula, λ (k) is revised controlling elements, λ 0, k pand k ibe the controling parameters needing to demarcate, the instantaneous SoC value of electrokinetic cell that SoC (k) sends for BMS, SoC reffor set reference SoC value.In C/S mode, in order to realize the maintenance of SoC, preferably, SoC refbe set as constant value 30%; Under BL1 and BL2 pattern, decline with traveling range line to realize SoC, SoC refdetermined by following formula:
SoC r e f ( k ) = SoC 0 - SoC 0 - SoC f D s ( k )
In formula, SoC 0for being about to enter mixing BL pattern, BL1 or BL2, the SoC value of electrokinetic cell during master mode, SoC fbe set as 30%; S (k) is accumulation operating range when vehicle has relatively just entered BL master mode.
C) entire car controller obtains by CAN the distance increasing unit instantaneous output information that distance increasing unit controller sends, and predicts the scope of next control cycle distance increasing unit horsepower output, and carries out discrete acquisition target power Candidate Set to this scope.
D) entire car controller is according to the status information of Current vehicle and step b) in each Hamiltonian function corresponding to candidate target power of value computation of table lookup of controlling elements λ of upgrading, the candidate target power determining corresponding to Hamiltonian function minimum is the target output of next control cycle distance increasing unit.
E) entire car controller determining step d) in determined target power whether to continue 5s be zero, if not, then send target power value to distance increasing unit controller by CAN; If so, then send halt instruction to distance increasing unit controller, distance increasing unit is shut down.
Can be seen by above principle and implementation step, the multi-mode energy management control method proposed can adapt to the chaufeur tractive performance requirement different to vehicle, solve the problem of tractive performance deficiency when traditional C D-CS type control policy is run at high speed under increasing journey pattern, and can ensure that vehicle all obtains good fuel economy in different modes.
Although illustrate and describe embodiments of the invention, for the ordinary skill in the art, be appreciated that and can carry out multiple change, amendment, replacement and modification to these embodiments without departing from the principles and spirit of the present invention, scope of the present invention is by claims and equivalents thereof.

Claims (10)

1. a stroke-increasing electric automobile multi-mode energy management method, said method comprising the steps of:
S01: the road conditions proportion in the distance D between entire car controller reception current vehicle position to destination, residue distance shared by different sections of highway and chaufeur are to the expectation information of vehicles dynamic performance;
S02: entire car controller estimates the pure electronic continual mileage F of vehicle according to above-mentioned distance D, road conditions proportion and the chaufeur expectation information to vehicles dynamic performance;
If above-mentioned distance D is less than above-mentioned continual mileage F, then controls vehicle and travel with electric-only mode, under this driving mode, the distance increasing unit of vehicle is closed; Otherwise enter step S03;
S03: if the driving cycle in future does not have superpower operating mode, then control vehicle and maintain (CD-CS) pattern traveling with electric quantity consumption-electricity.This electric quantity consumption-electricity maintains vehicle in (CD-CS) pattern and is first operated in electric-only mode, and after electrokinetic cell residue carrying capacity SoC drops to reference value, enter electricity maintain (CS) pattern, control SoC maintains particular value.Otherwise enter step S04;
S04: if chaufeur is expected high to the tractive performance of vehicle, then start distance increasing unit, control vehicle to travel to mix (BL) pattern, mixing (BL) pattern travels medium power battery SoC and declines with traveling range line in whole driving process, otherwise enters step S05;
S05: if chaufeur is expected not high to the tractive performance of vehicle, then control vehicle and still maintain (CD-CS) pattern traveling with electric quantity consumption-electricity.
2. the method for claim 1, it is characterized in that: if perform in step S04 process, entire car controller detects that chaufeur, to the expectation information of the tractive performance of vehicle, change from high to low occurs, then close distance increasing unit, control vehicle and maintain (CD-CS) pattern traveling with electric quantity consumption-electricity.
3. the method for claim 1, it is characterized in that: if perform in row step S05 process, entire car controller detects that chaufeur is expected change from low to high occurs to the tractive performance of vehicle, and vehicle is at pure motor driving, then start distance increasing unit, control vehicle and travel to mix (BL) pattern.
4. the method as described in any one of claims 1 to 3, is characterized in that: the future travel operating mode in step S03 is city operating mode.
5. the method as described in any one of claims 1 to 3, is characterized in that: electricity maintains electricity maintenance target in (CS) pattern and is decided to be constant value 30%.
6. according to the method as described in any one of claims 1 to 3, it is characterized in that: the distance D between described current vehicle position to destination and the road conditions proportion remained in distance shared by different sections of highway are by obtaining after portable geography information equipment or in-vehicle geography information equipment access car load network.
7., according to the method as described in any one of claims 1 to 3, it is characterized in that: S05 is under later stage high-speed working condition, and the maximum speed of entire car controller to vehicle limits, and described maximum speed value is determined according to the output rating value of distance increasing unit.
8. according to the method as described in any one of claims 1 to 3, it is characterized in that: the expectation information of described chaufeur to vehicles dynamic performance is input to entire car controller by external input device, described external input device is one or more in panel switch, acoustic control input, key-press input, handwriting input.
9. the method according to any one of claims 1 to 3, it is characterized in that: the power division that electricity maintains under (CS) pattern and mixing (BL) pattern between distance increasing unit and electrokinetic cell calculates based on Pang Te lia king minimal principle, by making to obtain best power division between the minimum guarantee distance increasing unit of system Hamiltonian function value and electrokinetic cell.
10. a stroke-increasing electric automobile, is characterized in that using the method as described in any one of claim 1-9.
CN201511023898.5A 2015-12-30 2015-12-30 A kind of stroke-increasing electric automobile multi-mode energy management method Active CN105459844B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201511023898.5A CN105459844B (en) 2015-12-30 2015-12-30 A kind of stroke-increasing electric automobile multi-mode energy management method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201511023898.5A CN105459844B (en) 2015-12-30 2015-12-30 A kind of stroke-increasing electric automobile multi-mode energy management method

Publications (2)

Publication Number Publication Date
CN105459844A true CN105459844A (en) 2016-04-06
CN105459844B CN105459844B (en) 2017-11-28

Family

ID=55598159

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201511023898.5A Active CN105459844B (en) 2015-12-30 2015-12-30 A kind of stroke-increasing electric automobile multi-mode energy management method

Country Status (1)

Country Link
CN (1) CN105459844B (en)

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105857298A (en) * 2016-04-18 2016-08-17 东莞市瑞达电瓶车科技有限公司 Control system used for electric vehicle
CN106476643A (en) * 2016-10-25 2017-03-08 湖南大学 A kind of electricity Trajectory Planning System of stroke-increasing electric automobile and control method
CN106647809A (en) * 2017-01-06 2017-05-10 中国航天电子技术研究院 Energy optimization method for hybrid power system of UAV based on task planning
CN107117164A (en) * 2017-03-27 2017-09-01 浙江工业大学 A kind of stroke-increasing electric automobile APU control methods
CN107600065A (en) * 2016-07-12 2018-01-19 贵航青年莲花汽车有限公司 A kind of control method of finished based on the optimization of electrokinetic cell life-span
CN107627864A (en) * 2017-08-09 2018-01-26 浙江吉利新能源商用车有限公司 A kind of power distribution method and control system of extended-range vehicle
CN108146254A (en) * 2017-12-26 2018-06-12 奇瑞新能源汽车技术有限公司 The control method and device of distance increasing unit
WO2018195738A1 (en) * 2017-04-24 2018-11-01 李卓希 Control method and system for hybrid vehicle
CN109703386A (en) * 2019-01-25 2019-05-03 哈尔滨理工大学 Low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method
CN110816308A (en) * 2019-12-09 2020-02-21 北京车和家信息技术有限公司 Method and device for controlling starting of range extender and range-extended electric vehicle
CN110901469A (en) * 2019-12-12 2020-03-24 湖北文理学院 Power battery residual capacity distribution method, electric vehicle, storage medium and device
CN112009455A (en) * 2019-05-28 2020-12-01 北汽福田汽车股份有限公司 Energy management method and device for hybrid vehicle and vehicle
CN112373319A (en) * 2020-11-16 2021-02-19 浙江吉利控股集团有限公司 Power system control method and system of range-extended vehicle and vehicle
CN112406564A (en) * 2020-11-16 2021-02-26 北京车和家信息技术有限公司 Range extender control method and device, driving system and range extender hybrid vehicle
CN112606736A (en) * 2021-01-05 2021-04-06 南昌济铃新能源科技有限责任公司 Range extender control method and range-extending electric automobile
CN112959996A (en) * 2019-12-12 2021-06-15 北京车和家信息技术有限公司 Vehicle control method and device and vehicle
CN113276828A (en) * 2020-02-19 2021-08-20 北京亿华通科技股份有限公司 Energy management method of fuel cell vehicle
CN113335083A (en) * 2021-07-21 2021-09-03 东蒲联合科技(福建)有限责任公司 Energy allocation method for range-extended electric cold-chain logistics vehicle and logistics vehicle
CN113370844A (en) * 2021-07-22 2021-09-10 重庆长安新能源汽车科技有限公司 Range extender start-stop control system and method for range extender electric vehicle
CN113525343A (en) * 2021-08-31 2021-10-22 湘潭大学 Energy flow optimization control method for extended range electric vehicle
CN113682295A (en) * 2021-08-25 2021-11-23 一汽解放汽车有限公司 Automobile energy distribution optimization method and combined power range-extending automobile
CN115489508A (en) * 2022-10-31 2022-12-20 重庆长安新能源汽车科技有限公司 Target vehicle control method, device, equipment and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0647541A2 (en) * 1993-10-07 1995-04-12 Toyota Jidosha Kabushiki Kaisha Control method for electrical appliance in hybrid vehicle
CN1593975A (en) * 2004-06-30 2005-03-16 武汉理工大学 Tandem type mixed power city bus control method based on public transport circuits
CN101979265A (en) * 2010-10-18 2011-02-23 重庆长安汽车股份有限公司 Method for controlling stroke lengthening of serially connected pluggable electric vehicle
CN102745092A (en) * 2012-07-27 2012-10-24 浙江吉利汽车研究院有限公司杭州分公司 Control method and control device for extended range type hybrid car generating set

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0647541A2 (en) * 1993-10-07 1995-04-12 Toyota Jidosha Kabushiki Kaisha Control method for electrical appliance in hybrid vehicle
EP0647541A3 (en) * 1993-10-07 1995-05-24 Toyota Motor Co Ltd Control method for electrical appliance in hybrid vehicle.
JP2973796B2 (en) * 1993-10-07 1999-11-08 トヨタ自動車株式会社 Air conditioning control method for hybrid electric vehicle
CN1593975A (en) * 2004-06-30 2005-03-16 武汉理工大学 Tandem type mixed power city bus control method based on public transport circuits
CN101979265A (en) * 2010-10-18 2011-02-23 重庆长安汽车股份有限公司 Method for controlling stroke lengthening of serially connected pluggable electric vehicle
CN102745092A (en) * 2012-07-27 2012-10-24 浙江吉利汽车研究院有限公司杭州分公司 Control method and control device for extended range type hybrid car generating set

Cited By (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105857298A (en) * 2016-04-18 2016-08-17 东莞市瑞达电瓶车科技有限公司 Control system used for electric vehicle
CN107600065A (en) * 2016-07-12 2018-01-19 贵航青年莲花汽车有限公司 A kind of control method of finished based on the optimization of electrokinetic cell life-span
CN106476643A (en) * 2016-10-25 2017-03-08 湖南大学 A kind of electricity Trajectory Planning System of stroke-increasing electric automobile and control method
CN106647809B (en) * 2017-01-06 2020-02-21 中国航天电子技术研究院 Hybrid power system energy optimization method for unmanned aerial vehicle based on mission planning
CN106647809A (en) * 2017-01-06 2017-05-10 中国航天电子技术研究院 Energy optimization method for hybrid power system of UAV based on task planning
CN107117164B (en) * 2017-03-27 2019-02-22 浙江工业大学 A kind of stroke-increasing electric automobile APU control method
CN107117164A (en) * 2017-03-27 2017-09-01 浙江工业大学 A kind of stroke-increasing electric automobile APU control methods
WO2018195738A1 (en) * 2017-04-24 2018-11-01 李卓希 Control method and system for hybrid vehicle
CN107627864B (en) * 2017-08-09 2019-11-26 浙江吉利新能源商用车有限公司 A kind of power distribution method and control system of extended-range vehicle
CN107627864A (en) * 2017-08-09 2018-01-26 浙江吉利新能源商用车有限公司 A kind of power distribution method and control system of extended-range vehicle
CN108146254A (en) * 2017-12-26 2018-06-12 奇瑞新能源汽车技术有限公司 The control method and device of distance increasing unit
CN109703386A (en) * 2019-01-25 2019-05-03 哈尔滨理工大学 Low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method
CN112009455A (en) * 2019-05-28 2020-12-01 北汽福田汽车股份有限公司 Energy management method and device for hybrid vehicle and vehicle
CN112009455B (en) * 2019-05-28 2022-03-11 北汽福田汽车股份有限公司 Energy management method and device for hybrid vehicle and vehicle
CN110816308A (en) * 2019-12-09 2020-02-21 北京车和家信息技术有限公司 Method and device for controlling starting of range extender and range-extended electric vehicle
CN112959996A (en) * 2019-12-12 2021-06-15 北京车和家信息技术有限公司 Vehicle control method and device and vehicle
CN110901469A (en) * 2019-12-12 2020-03-24 湖北文理学院 Power battery residual capacity distribution method, electric vehicle, storage medium and device
CN110901469B (en) * 2019-12-12 2021-05-04 湖北文理学院 Power battery residual capacity distribution method, electric vehicle, storage medium and device
CN113276828A (en) * 2020-02-19 2021-08-20 北京亿华通科技股份有限公司 Energy management method of fuel cell vehicle
CN112406564A (en) * 2020-11-16 2021-02-26 北京车和家信息技术有限公司 Range extender control method and device, driving system and range extender hybrid vehicle
CN112373319A (en) * 2020-11-16 2021-02-19 浙江吉利控股集团有限公司 Power system control method and system of range-extended vehicle and vehicle
CN112373319B (en) * 2020-11-16 2022-03-25 浙江吉利控股集团有限公司 Power system control method and system of range-extended vehicle and vehicle
CN112406564B (en) * 2020-11-16 2022-08-12 北京车和家信息技术有限公司 Range extender control method and device, driving system and range extender hybrid vehicle
CN112606736A (en) * 2021-01-05 2021-04-06 南昌济铃新能源科技有限责任公司 Range extender control method and range-extending electric automobile
CN112606736B (en) * 2021-01-05 2022-07-22 南昌智能新能源汽车研究院 Range extender control method and range-extending electric automobile
CN113335083A (en) * 2021-07-21 2021-09-03 东蒲联合科技(福建)有限责任公司 Energy allocation method for range-extended electric cold-chain logistics vehicle and logistics vehicle
CN113370844A (en) * 2021-07-22 2021-09-10 重庆长安新能源汽车科技有限公司 Range extender start-stop control system and method for range extender electric vehicle
CN113682295A (en) * 2021-08-25 2021-11-23 一汽解放汽车有限公司 Automobile energy distribution optimization method and combined power range-extending automobile
CN113682295B (en) * 2021-08-25 2024-04-09 一汽解放汽车有限公司 Automobile energy distribution optimization method and combined power range-extending automobile
CN113525343A (en) * 2021-08-31 2021-10-22 湘潭大学 Energy flow optimization control method for extended range electric vehicle
CN115489508A (en) * 2022-10-31 2022-12-20 重庆长安新能源汽车科技有限公司 Target vehicle control method, device, equipment and storage medium
CN115489508B (en) * 2022-10-31 2024-06-04 深蓝汽车科技有限公司 Target vehicle control method, device, equipment and storage medium

Also Published As

Publication number Publication date
CN105459844B (en) 2017-11-28

Similar Documents

Publication Publication Date Title
CN105459844A (en) Multi-mode energy management method for extended-range electric vehicle
Song et al. Pontryagin’s minimum principle-based real-time energy management strategy for fuel cell hybrid electric vehicle considering both fuel economy and power source durability
Teng et al. A comprehensive review of energy management optimization strategies for fuel cell passenger vehicle
Zhang et al. Enhancing fuel cell durability for fuel cell plug-in hybrid electric vehicles through strategic power management
Song et al. Multi-mode energy management strategy for fuel cell electric vehicles based on driving pattern identification using learning vector quantization neural network algorithm
Shabbir et al. Threshold-changing control strategy for series hybrid electric vehicles
Fernández et al. Fuel optimization strategy for hydrogen fuel cell range extender vehicles applying genetic algorithms
DE102018116826B4 (en) Vehicle with model-based line energy prediction, correction and optimization
Li et al. Design and analysis of a fuel cell supercapacitor hybrid construction vehicle
Trovão et al. A multi-level energy management system for multi-source electric vehicles–An integrated rule-based meta-heuristic approach
Shabbir et al. Real-time control strategy to maximize hybrid electric vehicle powertrain efficiency
KR100949260B1 (en) Battery prediction control algorism for hybrid electric vehicle
CN106476643A (en) A kind of electricity Trajectory Planning System of stroke-increasing electric automobile and control method
Fu et al. Real-time energy management and sensitivity study for hybrid electric vehicles
Ma et al. Multi-objective energy management strategy for fuel cell hybrid electric vehicle based on stochastic model predictive control
CN107406004A (en) Method and apparatus for the value of the energy state that determines the battery in vehicle
CN103112450B (en) Real-time optimized control method for plug-in parallel hybrid electric vehicle
Sun et al. An adaptive ECMS based on traffic information for plug-in hybrid electric buses
Liang et al. Energy management strategy for a parallel hybrid electric vehicle equipped with a battery/ultra-capacitor hybrid energy storage system
Wang et al. Real-time energy management strategy for a plug-in hybrid electric bus considering the battery degradation
CN113815437A (en) Predictive energy management method for fuel cell hybrid electric vehicle
Zhu et al. Multiobjective optimization of safety, comfort, fuel economy, and power sources durability for FCHEV in car-following scenarios
Małek et al. Optimization of energy management in a city bus powered by the hydrogen fuel cells
Belhadj et al. Improvement of Energy Management Control Strategy of Fuel Cell Hybrid Electric Vehicles Based on Artificial Intelligence Techniques.
Li et al. Predictive multi-objective operation strategy considering battery cycle aging for hybrid electric vehicles

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant