WO2018053883A1 - Dispositif de commande pour optimiser l'économie d'énergie d'une automobile hybride à nouvelle énergie - Google Patents

Dispositif de commande pour optimiser l'économie d'énergie d'une automobile hybride à nouvelle énergie Download PDF

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Publication number
WO2018053883A1
WO2018053883A1 PCT/CN2016/101117 CN2016101117W WO2018053883A1 WO 2018053883 A1 WO2018053883 A1 WO 2018053883A1 CN 2016101117 W CN2016101117 W CN 2016101117W WO 2018053883 A1 WO2018053883 A1 WO 2018053883A1
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WO
WIPO (PCT)
Prior art keywords
control device
energy
power
consumption
liquid
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PCT/CN2016/101117
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English (en)
Chinese (zh)
Inventor
陈卫涛
杨宣娜
陈巧云
征茂德
Original Assignee
苏州征之魂专利技术服务有限公司
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Publication of WO2018053883A1 publication Critical patent/WO2018053883A1/fr

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W20/00—Control systems specially adapted for 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
    • Y02T10/80—Technologies aiming to reduce greenhouse gasses emissions common to all road transportation technologies
    • Y02T10/84—Data processing systems or methods, management, administration

Definitions

  • the utility model relates to the field of automobile control, in particular to an optimized energy-saving control device for a hybrid new energy vehicle.
  • Hybrid new energy vehicles are a better automotive product that can use both traditional and new energy sources to achieve maximum energy savings and environmental protection, reduce waste, and be immune to new energy fuels or power shortages.
  • the limitation of work has won people's hearts, but hybrid vehicles also have their own defects, high cost, insufficient energy use, inconsistency, lack of optimized management of energy use, and so on.
  • the purpose of the utility model is to overcome the above problems existing in the prior art, and to provide a hybrid energy-saving new energy vehicle optimization energy-saving control device, which can accurately optimize the energy consumption mode according to historical usage data accumulation and maximize the application performance of the hybrid power.
  • Hybrid power new energy vehicle optimization energy-saving control device including liquid steam residual amount detecting sensor, residual power monitoring sensor, built-in timer, intelligent control circuit board, motion control device, liquid vapor control valve and power intensity control switch,
  • the liquid vapor residual amount detecting sensor can be connected to a fuel tank, the residual power monitoring sensor can be connected to a power source, and the liquid vapor remaining amount detecting sensor and the remaining power monitoring sensor are connected to an intelligent control circuit board, and the intelligent control circuit board is connected
  • the motion control device is connected to the liquid vapor control valve and the power intensity control switch, the sensor monitors the dynamic data, and transmits the dynamic data to the intelligent control circuit board in real time, and the intelligent control circuit board has a built-in timing
  • the intelligent control circuit board sends an instruction to the motion control device, and the motion control device controls the liquid vapor to pass the regulating valve and the power intensity control switch to adjust the fuel in real time.
  • Real-time consumption of electricity Real-time consumption of electricity.
  • the fuel tank is a gasoline tank or a liquefied gas tank or a liquid hydrogen container or a liquid air tank
  • the power source includes a power lithium battery, a solar power battery, a super capacitor, and a power lead battery.
  • the dynamic data includes time, vehicle speed, fuel residual amount, fuel consumption quality and speed ratio, power residual amount, consumption quality and speed ratio, travel path of the electronic map, historical running consumption of the driving path, charging mode, and charging Speed, control command response speed.
  • the motion control device connected to the liquid vapor communication regulating valve is a stepping motor driven rotatable knob or a panning movable toggle switch.
  • the motion control device connected to the power supply intensity control switch is a stepper motor driven sliding varistor or a variable capacitor or a variable cross section flux tube.
  • the intelligent computing software obtains the real-time fuel residual amount, the fuel consumption quality and speed ratio, the power residual amount, the consumption quality and the speed ratio, and retrieves the remaining distance of the travel route of the electronic map to the target, and refers to the history in the storage unit database. Fuel and electricity consumption, calculate the distance that currently needs to travel, the energy that needs to be consumed, and the remaining energy mix.
  • the intelligent computing software calculates the optimal consumption mode and consumption ratio of the fuel tank fuel consumption and the power source power consumption according to the distance that needs to be traveled, the energy consumed, and the remaining energy combination, and presses the most The optimized solution controls the motion control device, operates the liquid-vapor control valve and/or the power intensity control switch, and travels in an optimized energy consumption mode.
  • liquid vapor residual amount detecting sensor and the residual power monitoring sensor detect real-time consumption of fuel tank fuel and power source, compare with driving speed and electronic map, obtain a gap between theoretical consumption and actual consumption, and timely correct energy Consumption mode is always optimized for energy consumption.
  • the intelligent computing software retrieves historical driving data in the storage unit database according to the electronic map, compares with the current real-time driving data, calculates a new average value, and stores the new average value as new historical driving data in the storage unit database. And replace the original historical driving data.
  • FIG. 1 is a schematic structural view of an embodiment of the present invention.
  • the figures in the figure indicate: 1. Liquid vapor residual detection sensor, 2. Residual power monitoring sensor, 3. Intelligent control circuit board, 4. Motion control device, 5. Liquid vapor control valve, 6. Power supply intensity control switch, 7, fuel warehouse, 8, power supply, 9, electronic map, 10, storage unit database, 11, intelligent computing software.
  • a hybrid new energy vehicle optimized energy-saving control device including a liquid-vapor residual amount detecting sensor, a residual power monitoring sensor, a built-in timer, an intelligent control circuit board, an action control device, and a liquid-vapor control valve And a power supply intensity control switch, the liquid vapor residual amount detecting sensor is connectable to the fuel tank, the surplus power monitoring sensor is capable of connecting a power source, and the liquid vapor remaining amount detecting sensor and the remaining power monitoring sensor are connected to the intelligent control circuit board.
  • the intelligent control circuit board is connected to the action control device, and the action control device is connected to the liquid vapor control valve and the power supply intensity control switch, the sensor monitors the dynamic data, and transmits the dynamic data to the intelligent control circuit board in real time, the intelligent control
  • the circuit board is provided with a built-in timer, an intelligent computing software, a storage unit database and an electronic map, and the intelligent control circuit board issues an instruction to the motion control device, and the motion control device controls the liquid vapor control valve and the power supply intensity control. Switch, real-time adjustment of fuel in the fuel tank and / or real-time consumption of power within the power supply.
  • the fuel tank is a gasoline tank or a liquefied gas tank or a liquid hydrogen container or a liquid air tank
  • the power source includes a power lithium battery, a solar power battery, a super capacitor, and a power lead battery.
  • the dynamic data includes time, vehicle speed, fuel residual amount, fuel consumption quality and speed ratio, power residual amount, consumption quality and speed ratio, travel path of the electronic map, historical running consumption of the driving path, charging mode, and charging Speed, control command response speed.
  • the motion control device connected to the liquid vapor communication regulating valve is a stepping motor driven rotatable knob or a panning movable toggle switch.
  • the motion control device connected to the power supply intensity control switch is a stepper motor driven sliding varistor or a variable capacitor or a variable cross section flux tube.
  • the intelligent computing software obtains the real-time fuel residual amount, the fuel consumption quality and speed ratio, the power residual amount, the consumption quality and the speed ratio, and retrieves the remaining distance of the travel route of the electronic map to the target, and refers to the history in the storage unit database. Fuel and electricity consumption, calculate the distance that currently needs to travel, the energy that needs to be consumed, and the remaining energy mix.
  • the intelligent computing software calculates the optimal consumption mode and consumption ratio of the fuel tank fuel consumption and the power source power consumption according to the distance that needs to be traveled, the energy consumed, and the remaining energy combination, and presses the most The optimized solution controls the motion control device, operates the liquid-vapor control valve and/or the power intensity control switch, and travels in an optimized energy consumption mode.
  • liquid vapor residual amount detecting sensor and the residual power monitoring sensor detect real-time consumption of fuel tank fuel and power source, compare with driving speed and electronic map, obtain a gap between theoretical consumption and actual consumption, and timely correct energy Consumption mode is always optimized for energy consumption.
  • the intelligent computing software retrieves historical driving data in the storage unit database according to the electronic map, compares with the current real-time driving data, calculates a new average value, and stores the new average value as new historical driving data in the storage unit database. And replace the original historical driving data.
  • the intelligent computing software of the utility model obtains the real-time fuel residual amount, the fuel consumption quality and speed ratio, the power residual amount, the consumption quality and the speed ratio, and retrieves the remaining distance of the travel route of the electronic map to the target, and refers to the historical fuel in the storage unit database.
  • the power consumption situation calculate the distance that currently needs to travel, the energy that needs to be consumed, the remaining energy combination, the energy that needs to be consumed according to the distance that is currently required to travel,
  • the remaining energy combination calculates the optimal consumption mode and consumption ratio of the fuel consumption of the fuel tank and the power consumption of the power supply, and controls the action control device according to the optimized scheme, and controls the liquid gas to pass the regulating valve and/or the power supply intensity.
  • the control switch is driven according to the optimized energy consumption mode, and the liquid vapor residual detection sensor and the residual power monitoring sensor detect the real-time consumption situation, compare with the driving speed and the electronic map, obtain the gap between the theoretical consumption and the actual consumption, and correct the energy in time.
  • Consumption mode the energy consumption is always optimized, and based on historical driving data, compared with the current real-time driving data, a new average is calculated, and the new average is stored as a new historical driving data in the storage unit database and replaces the original history. Driving data to achieve the most realistic correction and optimization of the data.

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Control Of Vehicle Engines Or Engines For Specific Uses (AREA)

Abstract

La présente invention concerne un dispositif de commande pour optimiser l'économie d'énergie d'une automobile hybride à nouvelle énergie comprenant un capteur de détection d'autorisation de liquide et de gaz (1), un capteur de surveillance de puissance de vidage (2), une minuterie intégrée, une carte de circuit de commande intelligente (3), un dispositif de commande de mouvement (4), une vanne de régulation marche/arrêt de liquide et de gaz (5), et un commutateur de commande d'intensité d'alimentation électrique (6). Le capteur de détection d'autorisation de liquide et de gaz (1) peut être relié à un réservoir d'essence, à un réservoir de gaz liquéfié, et à un récipient d'hydrogène. Le capteur de surveillance de puissance de décharge (2) peut être connecté à un boîtier de batterie d'alimentation, et à une batterie pour générer de l'énergie solaire. Le capteur de détection d'autorisation de liquide et de gaz (1) et le capteur de surveillance de puissance de vidage (2) sont connectés à la carte de circuit imprimé de commande intelligente (3). La carte de circuit imprimé de commande intelligente (3) est connectée au dispositif de commande de mouvement (4). Le dispositif de commande de mouvement (4) est connecté au liquide et à la soupape de régulation marche-arrêt de gaz (5) et au commutateur de commande d'intensité d'alimentation électrique (6). Le capteur surveille et obtient des données dynamiques et les transmet à la carte de circuit imprimé de commande intelligente (3) en temps réel. Le dispositif de commande pour optimiser l'économie d'énergie d'une automobile hybride à nouvelle énergie peut optimiser de manière intelligente un mode de consommation d'énergie en fonction de l'accumulation de données de service historique, maximisant ainsi les performances d'application de puissance hybride.
PCT/CN2016/101117 2016-09-24 2016-09-30 Dispositif de commande pour optimiser l'économie d'énergie d'une automobile hybride à nouvelle énergie WO2018053883A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201621076961.1 2016-09-24
CN201621076961 2016-09-24

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008201170A (ja) * 2007-02-16 2008-09-04 Toyota Motor Corp ハイブリッド車両の制御装置
JP2011179386A (ja) * 2010-02-26 2011-09-15 Honda Motor Co Ltd 車両の制御装置
US20120116620A1 (en) * 2010-11-08 2012-05-10 Ford Global Technologies, Llc Plug-In Hybrid Electric Vehicle and Method of Control for Providing Distance to Empty and Equivalent Trip Fuel Economy Information
CN104002657A (zh) * 2014-05-20 2014-08-27 浙江吉利控股集团有限公司 一种混合动力车辆
CN104061083A (zh) * 2013-03-22 2014-09-24 福特环球技术公司 用于发动机控制的方法和系统
CN105480095A (zh) * 2014-10-01 2016-04-13 福特全球技术公司 估计可用行驶距离的系统和方法

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008201170A (ja) * 2007-02-16 2008-09-04 Toyota Motor Corp ハイブリッド車両の制御装置
JP2011179386A (ja) * 2010-02-26 2011-09-15 Honda Motor Co Ltd 車両の制御装置
US20120116620A1 (en) * 2010-11-08 2012-05-10 Ford Global Technologies, Llc Plug-In Hybrid Electric Vehicle and Method of Control for Providing Distance to Empty and Equivalent Trip Fuel Economy Information
CN104061083A (zh) * 2013-03-22 2014-09-24 福特环球技术公司 用于发动机控制的方法和系统
CN104002657A (zh) * 2014-05-20 2014-08-27 浙江吉利控股集团有限公司 一种混合动力车辆
CN105480095A (zh) * 2014-10-01 2016-04-13 福特全球技术公司 估计可用行驶距离的系统和方法

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