CN109703386A - Low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method - Google Patents
Low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method Download PDFInfo
- Publication number
- CN109703386A CN109703386A CN201910071074.7A CN201910071074A CN109703386A CN 109703386 A CN109703386 A CN 109703386A CN 201910071074 A CN201910071074 A CN 201910071074A CN 109703386 A CN109703386 A CN 109703386A
- Authority
- CN
- China
- Prior art keywords
- mileage
- electric automobile
- stroke
- controlling model
- expectation
- 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.)
- Pending
Links
Classifications
-
- 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
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
Low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method.The dynamical system of stroke-increasing electric automobile increases the design difficulty of electric component based on high voltage at present, increases the serial number of battery battery core, battery management is more complicated.Its composition of the invention includes: engine (1), the engine is connect by connecting shaft with starting generator (2), the starting generator is connect by ac power cable (3) with starting engine controller (4), the starting engine controller passes through DC power cable (5) and direct current transducer (6) respectively, drive motor controller (12) connection, the drive motor controller is connect by conducting wire with driving motor (11), the driving motor is connect by connecting shaft with gearbox (10), the gearbox passes through transmission shaft (9) respectively and connect with two wheels (8).The present invention is used for low-pressure type stroke-increasing electric automobile distance increasing unit control system.
Description
Technical field:
The present invention relates to the energy managements of electric car, and in particular to a kind of low-pressure type stroke-increasing electric automobile distance increasing unit control system
System and energy management method.
Background technique:
In new-energy automobile, pure electric automobile is that electric energy is directly stored and utilized, and power system architecture is simple, simultaneously
Have many advantages, such as that transmission system mechanical efficiency is high, Brake energy recovery utilization rate is high, but at this stage by power battery technology and
The restriction of the factors such as charging equipment distribution, the disadvantage of pure electric automobile are mainly manifested in: 1. pure motor driving mileages are short, cannot
Meet the needs of driver's trip；2. power battery charging rate is lower, so that driver spent during electric energy is fed
Time is longer；These are caused by, rate of charge low by power battery energy density is small；Due to these disadvantages, so that driver
It is lower to the acceptance level of pure electric automobile.Therefore " continual mileage is short " is the main bottleneck for restricting pure electric automobile development；And
Stroke-increasing electric automobile be increased on the basis of pure electric automobile framework one include internal combustion engine distance increasing unit, can effectively prolong
Long pure electric automobile continual mileage；
Stroke-increasing electric automobile has following four aspects advantage:
1. pure electric drive mode dynamic property is strong, Brake energy recovery is high-efficient, when power battery electric energy is higher, extended-range electricity
Electrical automobile is travelled with pure power mode, and power battery can satisfy the dynamic property demand of vehicle；In braking process, with pure electric vehicle vapour
Vehicle is similar, can recycle braking energy to greatest extent；
2. extending total continual mileage, power battery durability is improved；
3. automobile type configuration is abundant, design freedom is larger, at this stage power battery higher cost, and distance increasing unit can not only extend
Continual mileage, and power battery pack single battery quantity can be reduced, to reduce integral vehicle cost；
Its dynamical system of stroke-increasing electric automobile is based on high voltage formula at present, and DC bus-bar voltage is mostly in 300V or so, high electricity
Pressure can bring two maximum problems, safety and electric component design difficulty；It is required higher than the product of 48V additional electrical
Safety certification；The electric and electronic of high-tension circuit designs, and very big difficult point；Electronic component has stress levels, to accomplish more
High pressure resistance often means that electric component needs higher cost, bigger volume；And high pressure is necessarily required to battery battery core
Serial number increase, battery management system is more complicated, equally cost is caused to be substantially increased.
Summary of the invention:
The object of the present invention is to provide a kind of low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method, tools
Body uses special low-voltage motor, low voltage generator and corresponding control system, guarantees that DC bus-bar voltage is not higher than 36V, passes through
Optimize allocation proportion of the vehicle demand power between distance increasing unit and power battery, realizes that the two works in high efficient area, mention
High vehicle fuel economy.
Above-mentioned purpose is realized by following technical scheme:
A kind of low-pressure type stroke-increasing electric automobile distance increasing unit control system, composition includes: engine, and the engine passes through
Connecting shaft is connect with starting generator, and the starting generator is connected by ac power cable and starting engine controller
It connecing, the starting engine controller passes through DC power cable respectively and connect with direct current transducer, drive motor controller,
The drive motor controller is connect by conducting wire with driving motor, and the driving motor is connected by connecting shaft and gearbox
It connects, the gearbox passes through transmission shaft respectively and connect with two wheels.
The low-pressure type stroke-increasing electric automobile distance increasing unit control system, the direct current transducer pass through conducting wire respectively
It is connect with one group of power battery pack, the driving motor is using double low voltage motor series connection.
The low-pressure type stroke-increasing electric automobile distance increasing unit control system, when the engine start, starting power generation
Machine controller control starting generator work is in motoring condition, for starting engine, after the engine start, and starting hair
Motor switchs to generating state, starts engine controller for three-phase alternating current and is changed into direct current, powers to main drive motor, simultaneously
It is charged by direct current transducer to power battery pack.
The low-pressure type stroke-increasing electric automobile distance increasing unit control system, the starting engine controller and driving
Device for power switching in electric machine controller, using MOSFET metal oxide semiconductor field effect tube.
A kind of low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method, this method include following step
It is rapid: to control target according to stroke-increasing electric automobile energy management strategies, propose a kind of Controlling model selection algorithm, which can
Mileage travelled and current vehicle driving status it is expected according to driver, and accurate selection is suitable for the Controlling model of current working, real
Existing power battery SOC is changed by desired guiding trajectory；
The Controlling model selection algorithm is that typical case it is expected to mileage travelled 150km, control corresponding to 280km, 400km
Model is denoted as E1, E2And E3, and define electric-only mode and belong to using special Controlling model, typical case's expectation mileage travelled is
100km is denoted as E0, according to different travel situations, the control logic of Controlling model selection method is as follows:
(1) when driver, which does not input expectation to entire car controller by vehicle-mounted human-computer interaction device, travels mileage information, in real time
The expectation mileage travelled that energy management strategies default driver is 100km, and energy management strategies select E at this time0Controlling model.It should
Kind of situation is mainly used in driver for future travel without clarifying a plan or other reasons cause entire car controller not obtain the phase
Hope mileage travelled information；
(2) when expectation that entire car controller receives traveling mileage information is less than vehicle pure electric vehicle continual mileage, then extended-range
Electric car is travelled with electric-only mode, selects E0Controlling model, this kind of situation are usually that can expire in pure motor driving mileage
Occur in the case where sufficient driver's trip requirements, based on stroke-increasing electric automobile is travelled with electric-only mode, reduces fuel consumption
And energy use cost；
(3) the expectation traveling mileage information received when entire car controller is typical expectation mileage travelled, i.e. 150km, 280km or
400km, real-time power management strategy select corresponding Controlling model, E1, E2Or E3；
(4) when the expectation traveling mileage information that entire car controller receives is not belonging to typical expectation mileage travelled, in such case
Under no Controlling model it is corresponding with the mileage travelled, referred to as atypia it is expected mileage travelled, atypia it is expected mileage travelled
Operating condition under, energy management strategies need according to existing Controlling model realize energy optimal control, with driver it is expected travel
For mileage is 200km, judge that driver it is expected position of the mileage travelled in typical expectation mileage travelled, driver's desired row
Mileage 200km is sailed between typical case's expectation mileage travelled 150km and 280km, at the beginning of stroke, real-time power management strategy is first selected
Select E2Controlling model is for determining distance increasing unit start-up time and output power, will at 3/4 position of vehicle driving to total kilometrage
Controlling model is by E2It is changed to E1Control；
(5) stroke-increasing electric automobile in the process of moving, if row is not finished in driver when power battery SOC is preferably minimized limit value
Journey, real-time power management strategy control vehicle enter electric energy and maintain mode, keep power battery SOC state-of-charge attached in minimum limit value
Nearly variation.
The utility model has the advantages that
1. the present invention is a kind of low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method, its advantage is that adopting
With special low-voltage motor, low voltage generator and corresponding control system, guarantees that DC bus-bar voltage is not higher than 36V, pass through optimization
Allocation proportion of the vehicle demand power between distance increasing unit and power battery is realized that the two works in high efficient area, is improved whole
Vehicle fuel economy.
The present invention improves the single motor drive system of traditional electric car, according to accelerator open degree, speed, power battery
The work of the state modulators single motor such as SOC or bi-motor work at the same time, and enhance efficiency when electric car operation, phase to greatest extent
Than the single motor drive system of traditional electric car, using double tandem low-voltage driving motor, power drive system working efficiency energy
Enough improve 10%-20%.
In engine controller of the invention, power device generally uses IGBT or MOSFET, in low voltage range
MOSFET has lower loss compared to IGBT, and in order to guarantee sufficiently large driving current, controller main circuit is by three phase bridge
Multiple high-power MOS FET be formed in parallel, the parallel connection of MOSFET has the function of automatic current equalizing, can guarantee threephase load electricity
Stream is balanced.
Stroke-increasing electric automobile energy management method of the present invention is using vehicle expectation mileage travelled as important
Parameter accurately selects the Controlling model suitable for current working according to automobile current operating conditions and power battery charged state,
The start and stop and output power of distance increasing unit are controlled, make stroke-increasing electric automobile power battery SOC by desired guiding trajectory change into
And reduce the fuel consumption of vehicle.
Detailed description of the invention:
Attached drawing 1 is structural schematic diagram of the invention.
Attached drawing 2 is the main circuit structure schematic diagram of drive motor controller of the present invention.
Attached drawing 3 is operational mode block diagram of the invention.
Specific embodiment:
Embodiment 1:
A kind of low-pressure type stroke-increasing electric automobile distance increasing unit control system, composition include: engine 1, and the engine is logical
It crosses connecting shaft to connect with starting generator 2, the starting generator passes through ac power cable 3 and starting engine controller
4 connections, the starting engine controller pass through DC power cable 5 and direct current transducer 6, drive motor controller respectively
12 connections, the drive motor controller are connect by conducting wire with driving motor 11, and the driving motor passes through connecting shaft
It is connect with gearbox 10, the gearbox passes through transmission shaft 9 respectively and connect with two wheels 8.
Embodiment 2:
According to low-pressure type stroke-increasing electric automobile distance increasing unit control system described in embodiment 1, the direct current transducer difference
It is connect by conducting wire with one group of power battery pack 7, the driving motor is using double low voltage motor series connection.
Embodiment 3:
According to low-pressure type stroke-increasing electric automobile distance increasing unit control system as described in example 2, when the described engine start, open
Dynamic engine controller control starting generator work is in motoring condition, for starting engine, after the engine start,
Starting generator switchs to generating state, starts engine controller for three-phase alternating current and is changed into direct current, supplies to main drive motor
Electricity, while being charged by direct current transducer to power battery pack；
Low-pressure type distance increasing unit is the auxiliary generating unit of vehicle dynamical system, it is by engine, starting generator, starting generator
Controller is constituted, and engine is the power source and chemical energy/mechanical energy converting unit of auxiliary power unit, and motor is used and opened
Dynamic power generation integrated formula motor, distance increasing unit can save the dedicated starter motor of engine using starting power generation integrated formula motor, reduce
The volume and weight of auxiliary power unit, save the cost improve functional reliability；
Specific type of electric machine need to be used by starting generator, which need to have low-voltage, high-power, High-current output ability；Driving electricity
Machine is using double low voltage motor series connection, and the electric car overwhelming majority uses single motor drive system at present, and single motor drive system is not
It can guarantee that its operating point in its optimum efficiency area, affects the working efficiency of electric car, the application improves the electronic vapour of tradition
The single motor drive system of vehicle, according to the work of the state modulators single motors such as accelerator open degree, speed, power battery SOC or bi-motor
It works at the same time, enhances efficiency when electric car operation to greatest extent, compared to the single motor drive system of traditional electric car,
Using double tandem low-voltage driving motor, power drive system working efficiency can be improved 10%-20%.
Embodiment 4:
According to low-pressure type stroke-increasing electric automobile distance increasing unit control system described in embodiment 3, the starting generator control
Device for power switching in device and drive motor controller, using MOSFET metal oxide semiconductor field effect tube；
Device for power switching in low voltage starting engine controller and low-voltage driving electric machine controller, not according to application
Together, IGBT (insulated gate bipolar transistor) or MOSFET (metal oxide semiconductor field effect tube), power are generally used
Switching device is the key that controller, is had a great impact to the cost and driveability of controller, in low voltage range
MOSFET has lower loss compared to IGBT；
In order to guarantee sufficiently large driving current, controller main circuit it is in parallel by multiple high-power MOS FET of three phase bridge and
At MOSFET parallel connection need to solve equal flow problem, and the size of conducting resistance decides that the electric current flowed through on device for power switching is big
Small, when each switching elements conductive resistance in parallel has differences, the electric current and conducting resistance that switch element is flowed through are inversely proportional pass
System, the smallest switch element of conducting resistance will flow through maximum electric current, and will result in the unevenness of quiescent drain current in this way, flow through
Electric current it is bigger, device for power switching calorific value is more, conducting resistance have ptc characteristics, conduction resistance value meeting at this time
Increasing as device temperature increases, then quiescent drain current starts to reduce, so, the parallel connection of MOSFET can in the main circuit
Play the role of automatic current equalizing；
Traditional stroke-increasing electric automobile, power battery voltage generally in 300V or so, drive in order to realize with low pressure
The matching of dynamic system, battery pack need to redesign, and the battery pack that end voltage is not higher than 36V is constituted after single battery is connected, then
Multiple above-mentioned battery packs are in parallel, to reach the power battery capacity requirement of stroke-increasing electric automobile.
Embodiment 5:
It is a kind of using low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method described in embodiment 1-4,
This method is: controlling target according to stroke-increasing electric automobile energy management strategies, proposes a kind of Controlling model selection algorithm, the calculation
Method can it is expected mileage travelled and current vehicle driving status according to driver, and accurate selection is suitable for the control mould of current working
Type realizes that power battery SOC is changed by desired guiding trajectory；The Controlling model selection algorithm is that typical case it is expected mileage travelled
Controlling model corresponding to 150km, 280km, 400km is denoted as E1, E2And E3, and define electric-only mode and belong to using special
Controlling model, typical case's expectation mileage travelled is 100km, is denoted as E0, according to different travel situations, Controlling model selection method
Control logic it is as follows:
(1) when driver, which does not input expectation to entire car controller by vehicle-mounted human-computer interaction device, travels mileage information, in real time
The expectation mileage travelled that energy management strategies default driver is 100km, and energy management strategies select E at this time0Controlling model.It should
Kind of situation is mainly used in driver for future travel without clarifying a plan or other reasons cause entire car controller not obtain the phase
Hope mileage travelled information；
(2) when expectation that entire car controller receives traveling mileage information is less than vehicle pure electric vehicle continual mileage, then extended-range
Electric car is travelled with electric-only mode, selects E0Controlling model, this kind of situation are usually that can expire in pure motor driving mileage
Occur in the case where sufficient driver's trip requirements, based on stroke-increasing electric automobile is travelled with electric-only mode, reduces fuel consumption
And energy use cost；
(3) the expectation traveling mileage information received when entire car controller is typical expectation mileage travelled, i.e. 150km, 280km or
400km, real-time power management strategy select corresponding Controlling model, E1, E2Or E3；
(4) when the expectation traveling mileage information that entire car controller receives is not belonging to typical expectation mileage travelled, in such case
Under no Controlling model it is corresponding with the mileage travelled, referred to as atypia it is expected mileage travelled, atypia it is expected mileage travelled
Operating condition under, energy management strategies need according to existing Controlling model realize energy optimal control, with driver it is expected travel
For mileage is 200km, judge that driver it is expected position of the mileage travelled in typical expectation mileage travelled, driver's desired row
Mileage 200km is sailed between typical case's expectation mileage travelled 150km and 280km, at the beginning of stroke, real-time power management strategy is first selected
Select E2Controlling model is for determining distance increasing unit start-up time and output power, will at 3/4 position of vehicle driving to total kilometrage
Controlling model is by E2It is changed to E1Control；
(5) stroke-increasing electric automobile in the process of moving, if row is not finished in driver when power battery SOC is preferably minimized limit value
Journey, real-time power management strategy control vehicle enter electric energy and maintain mode, keep power battery SOC state-of-charge attached in minimum limit value
Nearly variation；
Stroke-increasing electric automobile has pure electric vehicle, four kinds of extended-range, feedback braking and stopping for charging operational modes, when feedback braking
It is that automobile passively obtains feedback electric energy according to brake pedal, when stopping for charging is that automobile according to the characteristic of charging make-up obtains electricity
Can, pure electric vehicle and extended-range are all the selection startings of automobile active and close engine and control the output power of engine, are controlled
Simulation is the basis for establishing stroke-increasing electric automobile energy management strategies, electronic to extended-range by establishing operational mode parameter
The pure electric vehicle and extended-range operational mode of automobile have carried out reasonable distribution；
According to prerequisites such as power battery pack performance parameter, vehicle demand power and distance increasing unit charge and discharge effects, filled with battery
Discharge of electricity depth is unsuitable too deep and minimum SOC value must assure that and accelerate to provide enough power principles for vehicle, in extended-range
In electric car operational mode, general SOC upper limit selection 0.8, SOC lower limit selection 0.3；
The process of operational mode control module are as follows: judge whether operational mode parameter is pure according to typical case's expectation mileage travelled first
It is electronic.If power battery SOC is greater than 0.3, pure electric vehicle is set by operational mode parameter, closes distance increasing unit；If power battery
SOC is set as extended-range less than 0.3, by operational mode parameter, then according to E1, E2And E3Middle engine desired output power is true
Engine throttle and revolving speed are determined, when judging that current driving mode to increase journey mode, and after battery SOC rises to 0.8, will run
Mode parameter is set as pure electric vehicle, closes distance increasing unit；
With the development of intelligent network connection technology, on-vehicle GPS navigation equipment and human-computer interaction device gradually become modern vehicle
Standard configuration, Energy Management System not only available routine information can also be obtained more by human-computer interaction device
Operator demand's information, information of vehicles, these information include current vehicle position, the operating range to destination, charging station point
Cloth etc., for stroke-increasing electric automobile, vehicle expectation mileage travelled is that energy management strategies improve stroke-increasing electric automobile
The important input parameter of fuel economy in total run time, the parameter be stroke-increasing electric automobile leave charging station to again into
Enter the distance that charging station is travelled, is influenced by factors such as driver's trip habit, charge rule, charging pile distributions, therefore whole
Vehicle energy management control strategy is difficult precisely to obtain these parameters, but driver can by being manually entered into human-computer interaction interface,
In order to make constructed real-time power management strategy that there is ideal control effect, i.e., expectation mileage travelled any for driver
It is able to achieve stroke-increasing electric automobile energy management strategies control target, proposes above-mentioned Controlling model selection algorithm.
Claims (5)
1. a kind of low-pressure type stroke-increasing electric automobile distance increasing unit control system, composition includes: engine, it is characterized in that: described
Engine by connecting shaft with starting generator connect, the starting generator by ac power cable with start power generation
Machine controller connection, the starting engine controller pass through DC power cable and direct current transducer, driving motor respectively
Controller connection, the drive motor controller are connect by conducting wire with driving motor, and the driving motor passes through connection
Axis is connect with gearbox, and the gearbox passes through transmission shaft respectively and connect with two wheels.
2. low-pressure type stroke-increasing electric automobile distance increasing unit control system according to claim 1, it is characterized in that: described is straight
Stream transformer passes through conducting wire respectively and connect with one group of power battery pack, and the driving motor is using double low voltage motor series connection.
3. low-pressure type stroke-increasing electric automobile distance increasing unit control system according to claim 2, it is characterized in that: the hair
When motivation starts, starting engine controller control starting generator work is described for starting engine in motoring condition
After engine start, starting generator switchs to generating state, starts engine controller for three-phase alternating current and is changed into direct current,
It powers to main drive motor, while being charged by direct current transducer to power battery pack.
4. low-pressure type stroke-increasing electric automobile distance increasing unit control system according to claim 3, it is characterized in that: described opens
Device for power switching in dynamic engine controller and drive motor controller, using MOSFET metal oxide semiconductcor field effect
Ying Guan.
5. a kind of energy pipe using low-pressure type stroke-increasing electric automobile distance increasing unit control system described in one of claim 1-4
Reason method, it is characterized in that: this method comprises the following steps:
Target is controlled according to stroke-increasing electric automobile energy management strategies, proposes a kind of Controlling model selection algorithm, the algorithm energy
Enough it is expected mileage travelled and current vehicle driving status according to driver, accurate selection is suitable for the Controlling model of current working,
Realize that power battery SOC is changed by desired guiding trajectory；
The Controlling model selection algorithm is that typical case it is expected to mileage travelled 150km, control corresponding to 280km, 400km
Model is denoted as E1, E2And E3, and define electric-only mode and belong to using special Controlling model, typical case's expectation mileage travelled is
100km is denoted as E0, according to different travel situations, the control logic of Controlling model selection method is as follows:
(1) when driver, which does not input expectation to entire car controller by vehicle-mounted human-computer interaction device, travels mileage information, in real time
The expectation mileage travelled that energy management strategies default driver is 100km, and energy management strategies select E at this time0Controlling model.It should
Kind of situation is mainly used in driver for future travel without clarifying a plan or other reasons cause entire car controller not obtain the phase
Hope mileage travelled information；
(2) when expectation that entire car controller receives traveling mileage information is less than vehicle pure electric vehicle continual mileage, then extended-range
Electric car is travelled with electric-only mode, selects E0Controlling model, this kind of situation are usually that can expire in pure motor driving mileage
Occur in the case where sufficient driver's trip requirements, based on stroke-increasing electric automobile is travelled with electric-only mode, reduces fuel consumption
And energy use cost；
(3) the expectation traveling mileage information received when entire car controller is typical expectation mileage travelled, i.e. 150km, 280km or
400km, real-time power management strategy select corresponding Controlling model, E1, E2Or E3；
(4) when the expectation traveling mileage information that entire car controller receives is not belonging to typical expectation mileage travelled, in such case
Under no Controlling model it is corresponding with the mileage travelled, referred to as atypia it is expected mileage travelled, atypia it is expected mileage travelled
Operating condition under, energy management strategies need according to existing Controlling model realize energy optimal control, with driver it is expected travel
For mileage is 200km, judge that driver it is expected position of the mileage travelled in typical expectation mileage travelled, driver's desired row
Mileage 200km is sailed between typical case's expectation mileage travelled 150km and 280km, at the beginning of stroke, real-time power management strategy is first selected
Select E2Controlling model is for determining distance increasing unit start-up time and output power, will at 3/4 position of vehicle driving to total kilometrage
Controlling model is by E2It is changed to E1Control；
(5) stroke-increasing electric automobile in the process of moving, if row is not finished in driver when power battery SOC is preferably minimized limit value
Journey, real-time power management strategy control vehicle enter electric energy and maintain mode, keep power battery SOC state-of-charge attached in minimum limit value
Nearly variation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910071074.7A CN109703386A (en) | 2019-01-25 | 2019-01-25 | Low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910071074.7A CN109703386A (en) | 2019-01-25 | 2019-01-25 | Low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109703386A true CN109703386A (en) | 2019-05-03 |
Family
ID=66262961
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910071074.7A Pending CN109703386A (en) | 2019-01-25 | 2019-01-25 | Low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109703386A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110239366A (en) * | 2019-06-24 | 2019-09-17 | 黑龙江工程学院 | The energy control method of range extended electric vehicle power system |
| CN111483452A (en) * | 2020-04-13 | 2020-08-04 | 清华大学 | Hybrid power system and control method thereof |
| CN111559256A (en) * | 2020-06-01 | 2020-08-21 | 江西清华泰豪三波电机有限公司 | Unmanned vehicle-mounted hybrid power source energy control method based on multi-task and multi-working-condition modes |
| CN112526883A (en) * | 2020-11-30 | 2021-03-19 | 北京航空航天大学 | Vehicle energy management method based on intelligent networking information |
| CN112572168A (en) * | 2020-12-31 | 2021-03-30 | 吉林大学 | Extended range electric vehicle energy management control method based on charging management |
| CN112937278A (en) * | 2021-02-04 | 2021-06-11 | 浙江吉利控股集团有限公司 | Air energy heat insulation external combustion power system and driving method |
| CN113060018A (en) * | 2021-04-28 | 2021-07-02 | 合达信科技集团有限公司 | Variable-capacity extended-range electric logistics vehicle battery system |
| CN114161950A (en) * | 2021-11-25 | 2022-03-11 | 阿尔特汽车技术股份有限公司 | Vehicle battery power supplementing method and system and vehicle |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2750947Y (en) * | 2004-09-16 | 2006-01-11 | 苗华强 | Power unit used for electric vehicle |
| CN204340724U (en) * | 2014-12-26 | 2015-05-20 | 黄亮国 | A kind of extended-range electric vehicle adopting lead-acid storage battery |
| CN105459844A (en) * | 2015-12-30 | 2016-04-06 | 北京理工大学 | Multi-mode energy management method for extended-range 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 |
| CN107640038A (en) * | 2017-08-01 | 2018-01-30 | 浙江吉利新能源商用车有限公司 | Plug-in hybrid electric automobile and its energy management method |
-
2019
- 2019-01-25 CN CN201910071074.7A patent/CN109703386A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2750947Y (en) * | 2004-09-16 | 2006-01-11 | 苗华强 | Power unit used for electric vehicle |
| CN204340724U (en) * | 2014-12-26 | 2015-05-20 | 黄亮国 | A kind of extended-range electric vehicle adopting lead-acid storage battery |
| CN105459844A (en) * | 2015-12-30 | 2016-04-06 | 北京理工大学 | Multi-mode energy management method for extended-range 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 |
| CN107640038A (en) * | 2017-08-01 | 2018-01-30 | 浙江吉利新能源商用车有限公司 | Plug-in hybrid electric automobile and its energy management method |
Non-Patent Citations (1)
| Title |
|---|
| 席利贺: "增程式电动汽车能量管理策略优化及增程器控制系统研究", 《中国优秀博硕士学位论文全文数据库(博士)工程科技Ⅱ辑》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110239366A (en) * | 2019-06-24 | 2019-09-17 | 黑龙江工程学院 | The energy control method of range extended electric vehicle power system |
| CN111483452A (en) * | 2020-04-13 | 2020-08-04 | 清华大学 | Hybrid power system and control method thereof |
| CN111559256A (en) * | 2020-06-01 | 2020-08-21 | 江西清华泰豪三波电机有限公司 | Unmanned vehicle-mounted hybrid power source energy control method based on multi-task and multi-working-condition modes |
| CN112526883A (en) * | 2020-11-30 | 2021-03-19 | 北京航空航天大学 | Vehicle energy management method based on intelligent networking information |
| CN112526883B (en) * | 2020-11-30 | 2021-09-24 | 北京航空航天大学 | Vehicle energy management method based on intelligent networking information |
| CN112572168A (en) * | 2020-12-31 | 2021-03-30 | 吉林大学 | Extended range electric vehicle energy management control method based on charging management |
| CN112937278A (en) * | 2021-02-04 | 2021-06-11 | 浙江吉利控股集团有限公司 | Air energy heat insulation external combustion power system and driving method |
| CN113060018A (en) * | 2021-04-28 | 2021-07-02 | 合达信科技集团有限公司 | Variable-capacity extended-range electric logistics vehicle battery system |
| CN114161950A (en) * | 2021-11-25 | 2022-03-11 | 阿尔特汽车技术股份有限公司 | Vehicle battery power supplementing method and system and vehicle |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109703386A (en) | Low-pressure type stroke-increasing electric automobile distance increasing unit control system and energy management method | |
| CN101489824B (en) | Vehicle power control device | |
| CN103072492B (en) | Active control type hybrid power system for pure electric bus and control method of active control type hybrid power system | |
| CN101207331B (en) | Control method of commingle dynamic force automobile DC-DC | |
| CN102658817B (en) | Control method for realizing purely-electric function of hybrid vehicle | |
| CN101238018B (en) | Vehicle power supply device and its control method | |
| CN101254744B (en) | Hybrid electric vehicle complete vehicle system as well as multi-energy control system and control method thereof | |
| CN105073484B (en) | Power control and power control method | |
| CN102343833B (en) | Power module active current management for efficiency improvement | |
| KR100867795B1 (en) | Mehtod for controlling dc/dc converter of hev | |
| CN106240336B (en) | A kind of plug-in bi-motor four-wheel-drive hybrid power system and control method | |
| Hong et al. | Research on integration simulation and balance control of a novel load isolated pure electric driving system | |
| CN105882648A (en) | Hybrid power system energy management method based on fuzzy logic algorithm | |
| CN110065416A (en) | For with high-power and Energy Management System and method of high energy battery group vehicle | |
| CN107813708A (en) | A kind of range extended electric vehicle power system and its control method | |
| CN108248365B (en) | Hybrid gas-electric hybrid power vehicle power system and control method | |
| Liang et al. | Energy management strategy for a parallel hybrid electric vehicle equipped with a battery/ultra-capacitor hybrid energy storage system | |
| CN106585618B (en) | A kind of serial type hybrid automobile energy management control method and device | |
| CN102611203A (en) | Efficient composite energy storage system for vehicles | |
| CN101574969A (en) | Control method of operating point of hybrid electric vehicle engine | |
| CN107264336B (en) | The vehicle for having power generator | |
| CN103338995A (en) | Vehicle, control method for vehicle, and control device for vehicle | |
| CN107054124B (en) | Hybrid power system and method based on vehicle navigation | |
| Evangelou et al. | Dynamic modeling platform for series hybrid electric vehicles | |
| CN107985087A (en) | Fuel cell movable charging vehicle and its charge control method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190503 |
|
| RJ01 | Rejection of invention patent application after publication |