CN101219665A - Hybrid power electric car energy managing method based on synthetic energy flow - Google Patents

Hybrid power electric car energy managing method based on synthetic energy flow Download PDF

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Publication number
CN101219665A
CN101219665A CN 200810057124 CN200810057124A CN101219665A CN 101219665 A CN101219665 A CN 101219665A CN 200810057124 CN200810057124 CN 200810057124 CN 200810057124 A CN200810057124 A CN 200810057124A CN 101219665 A CN101219665 A CN 101219665A
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engine
power
energy
driving
switch
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张欣
张昕
张良
王颖亮
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Beijing Jiaotong University
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Beijing Jiaotong University
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Abstract

The invention discloses a hybrid powered electric automobile energy management method based on comprehensive energy flow, which belongs to a technical field of environmental protection and energy conservation of vehicles. The system consists an electric controlling unit, a signal collecting and processing system connected with the electric controlling unit, a controlling signal outputting system, a communication controlling system of a CAN bus, a communication controlling system of serial ports, and a DC/DC power transform circuit module which is connected with each system. According to automobile running process parameters detected by each sensor, the electric controlling unit of the system calculates power required by an air conditioning compressor, a cooling fan of an engine, a power steering system and a brake system of the compressor, and then converts the power into torque additionally required by the engine; according to distribution management of driving energy of a parallel hybrid system, the system fully considers the energy consumption of fittings of the automobile, keeps the driving energy distribution more reasonable during the running process of the hybrid powered electric automobile, improves the economical efficiency of fuel of the entire automobile and obtain good engineering practical value.

Description

A kind of mixed power electric car energy management method based on complex energy stream
Technical field
The invention belongs to environmental protection, automobile energy-saving technical field, particularly a kind of mixed power electric car energy management method of mixed power electric car complex energy current control management based on complex energy stream.
Background technology
Mixed power electric car (HEV) is considered to solve this century one of petroleum-based energy crisis that automobile faces and effective scheme of problem of environmental pollution; the HEV complexity is far longer than orthodox car; in order to give full play to the potentiality of HEV, must make its power assembly system coordinated operation.Domestic energy management strategy center of gravity to hybrid vehicle mainly concentrates on the dynamic assembly aspect at present, do not consider all the other source of energy consumption of being equipped with in the actual vehicle system, as a/c system, power steering system, braking air compressor system (full size vehicle), engine-cooling system and other electric systems (as car light, sound system) etc., these systems be commonly referred to as the auxiliary energy accessory system (Auxiliary Power Units, APUs).Though they are travelling of direct drive vehicle not, but it is closely bound up with vehicle performance, at present, APUs is in traditional full size vehicle, these systems mainly link to each other with engine output shaft by belt pulley or gear-driven form, realize its function separately by engine drive, therefore affect the fuel oil consumption of car load to a certain extent.If the expenditure of energy of accessory system is not considered in the automobile energy management,, can't make the output coupling of energy reach optimum with the economic performance of influence and reduction car load.
Summary of the invention
The objective of the invention is to have ignored the deficiency of annex source of energy consumption at mixed power electric car energy management system in the past, and the management control method that provides a kind of hybrid vehicle complex energy to flow, the present invention has increased the total energy consumption control module of accessory systems such as air-conditioning compressor, cooling fan of engine, Pneumatic brake systems Air compressor and power steering pump with intergral reservoir, realization makes car load energy management control reach optimum to the allocation manager of auxiliary energy accessory system power.
The technical solution used in the present invention is:
This system of described automobile energy management system finishes the allocation manager to driving energy in the mixed power electric car driving process by based on the car load energy management ECU (Electrical Control Unit) 1 of auxiliary energy accessory system energy consumption, formed with ECU (Electrical Control Unit) 1 bonded assembly acquisition of signal and disposal system 2, control signal output system 3, CAN bus communication control system 4, serial communication control system 5 and the DC/DC power converting circuit module 6 that is connected with each system.
The engine speed that ECU (Electrical Control Unit) 1 arrives according to acquisition of signal and disposal system 2 various sensor, driver's driving signal, the air-conditioning opening, the cooling fan opening, parameters such as braking pneumatics running state, calculate air-conditioning compressor respectively, cooling fan of engine, the unify demand power of Air compressor brake system of power steering system, and this part power conversion become driving engine additional demand moment of torsion, drive the energy allocation manager according to parallel connection type hybrid power system, determine hybrid vehicle optimal drive pattern and operation conditions through the judgement of control logic and the computing of control algorithm.
The invention has the beneficial effects as follows: system has taken into full account the energy consumption of annex that automobile is equipped with, and the driving energy distribution when making the mixed power electric car driving is more reasonable, improves the fuel economy of car load, has good engineering practical value.
Description of drawings
Fig. 1 is a mixed power electric car complex energy flow management system.
Fig. 2 is the power assembly controller input/output signal.
Fig. 3 is the driving energy distribution control logic based on complex energy stream of the present invention.
Fig. 4 is an air-conditioning compressor expenditure of energy subroutine flow chart.
Fig. 5 is the fan energy subroutine flow chart.
Fig. 6 is braking Air compressor energy consumption calculation subroutine flow chart.
The specific embodiment
The invention provides a kind of mixed power electric car energy management method based on complex energy stream.The present invention is further described as follows below in conjunction with drawings and Examples:
Figure 1 shows that the mixed power electric car complex energy flow management system that contains auxiliary energy accessory system managing power consumption.This system is formed by reaching the DC/DC power converting circuit module 6 that is connected with each system with ECU (Electrical Control Unit) 1 bonded assembly acquisition of signal with disposal system 2, control signal output system 3, CAN bus communication control system 4, serial communication control system 5.ECU (Electrical Control Unit) is served as by the MPC566 microprocessor.
In the mixed power electric car driving process, car load and strong power controller that Multi-energy Powertrain Controller ECU (Electrical Control Unit) 1 is gathered by the acquisition of signal and the disposal system 2 of control signal output system 3 or 4 receptions of CAN bus communication system, engine electric-controlled unit, electric machine controller, battery management system, the running state parameter signal that the automatic mechanical transmission control system is transmitted and the driving signal (as shown in Figure 2) of automobile, drive energy allocation manager (shown in Fig. 3~6) according to parallel connection type hybrid power system, determine hybrid vehicle optimal drive pattern and operation conditions through the judgement of control logic and the computing of control algorithm.
As shown in Figure 3, begin to read the mixed power electric car speed of a motor vehicle, the input speed information, at first judge whether state into the parking idling, if the state of parking idling need to judge whether stopping for charging then according to the size of SOC value, enter stopping for charging during less than the SOC value set; If not the state of parking idling and do not need the charging, then enter and read the shift signal step, calculation engine demand velocity of rotation, judge whether to be that engine operation is in the minimum speed of optimizing the zone? if, then motor provides driving power, the operational mode sign is set, and automobile enters the state of mode switch in the normal operational process; If not, judge whether air-conditioning moves, operation is then looked into by rotating speed MAP figure and is got the air-conditioning consumed power, and MAP figure is expressed as: P APU1=f i(n e, a, t), output P wherein APU1Be operation of air conditioner consumed power, input n eBe the engine demand rotating speed, a is a pickup, and t is a vehicle interior temperature; Judge whether water pump/cooling fan of engine moves, move then computation requirement power P APU2: P APU2=f 2(n e); Judge braking compressor operation state, calculate operation demand power P AP3: P APU3=f 3(n e, p_b), p_b is a braking pressure; Calculate steering pump work requirements power: P APU4=f 4(n e); F wherein i(n e, a, t) (i=1~4) are auxiliary power consumption data sheet form, look into during calculating and get, and data sheet changes to some extent with annex model difference, and auxiliary device consumes gross horsepower P=P APU1+ P APU2+ P APU3+ P APU4, be converted into driving engine additional demand moment of torsion, with the stack of outputting power moment of torsion, obtain the actual consumption total amount, and then carry out mode switch according to the driving engine aggregate demand moment of torsion and the condition of the mode switch that sets.Engine operation is in optimizing regional minimum speed (n Low), the SOCmin of moment of torsion (Temax, Temin), battery.Engine operation is in optimizing regional rotating speed (n Low), moment of torsion (Temax, Temin) is used for the zone of limiting engine work making the work area of engine operation in high efficiency, anti-emission carburetor.When during in the minimum speed of optimizing the district or minimum torque, working in pure motor mode less than engine operation; When demand torque greater than engine operation in the torque peak of optimizing the zone, work in the motor assistant mode; In the optimization zone of engine operation, and the SOC value works in pure engine mode when being higher than setting value; In the optimization zone of engine operation, and the SOC value works in the driving charge mode during less than setting value.M-shown in the figure〉E represents to switch to driving engine, E-from motor〉M represents to switch to motor, E-from driving engine〉H represents to switch to combination drive, H-from driving engine〉E represents to switch to driving engine, E-from combination drive〉e represents to switch to driving charging, e-from driving engine〉E represents to switch to driving engine from the driving charging.

Claims (3)

1. mixed power electric car energy management system based on complex energy stream, it is characterized in that, described automobile energy management system is by the ECU (Electrical Control Unit) (1) of the car load complex energy flow management that contains auxiliary energy accessory system energy consumption, with ECU (Electrical Control Unit) (1) bonded assembly acquisition of signal and disposal system (2), control signal output system (3), CAN bus communication control system (4), serial communication control system (5) and the DC/DC power converting circuit module (6) that is connected with each system are formed, and finish driving the allocation manager of energy in the mixed power electric car driving process.
2. mixed power electric car energy management method based on complex energy stream, it is characterized in that, the engine speed that ECU (Electrical Control Unit) (1) arrives according to acquisition of signal and the various sensor of disposal system (2), driver's driving signal, the air-conditioning opening, the cooling fan opening, parameters such as braking pneumatics running state, by tabling look-up with nonlinear function f (), calculate air-conditioning compressor respectively, cooling fan of engine, the unify demand power of accessory systems such as Air compressor brake system of power steering system, and this part power conversion become driving engine additional demand moment of torsion, drive the energy allocation manager according to parallel connection type hybrid power system and determine hybrid vehicle optimal drive pattern and operation conditions.
3. according to the described mixed power electric car energy management method of claim 2, it is characterized in that concrete control flow is as follows based on complex energy stream:
Begin to read the mixed power electric car speed of a motor vehicle, the input speed information at first judges whether the state into the parking idling, if the state of parking idling need to judge whether stopping for charging then according to the size of SOC value, enters stopping for charging during less than the SOC value of setting; If not the state of parking idling and do not need the charging, then enter and read the shift signal step, calculation engine demand velocity of rotation, judge whether to be that engine operation is in the minimum speed of optimizing the zone? if, then motor provides driving power, the operational mode sign is set, and automobile enters the state of mode switch in the normal operational process; If not, judge whether air-conditioning moves, operation is then looked into by rotating speed MAP figure and is got the air-conditioning consumed power, and the MAP graph expression is: P APU1=f i(n e, a, t), output P wherein APU1Be operation of air conditioner consumed power, input n eBe the engine demand rotating speed, a is a pickup, and t is a vehicle interior temperature; Judge whether water pump/cooling fan of engine moves, move then computation requirement power P APU2: P APU2=f 2(n e); Judge braking compressor operation state, calculate operation demand power P APU3: P APU3=f 3(n e, p_b), p_b is a braking pressure; Calculate steering pump work requirements power: P APU4=f 4(n e); F wherein i(n e, a, t) (i=1~4) are auxiliary power consumption data sheet form, look into during calculating and get, and data sheet changes to some extent with annex model difference, and auxiliary device consumes gross horsepower P=P APU1+ P APU2+ P APU3+ P APU4, with the stack of outputting power moment of torsion, obtain the actual consumption total amount, and then be converted into driving engine additional demand moment of torsion, carry out mode switch according to the driving engine aggregate demand moment of torsion and the condition of the mode switch that sets, engine operation is in optimizing regional minimum speed (n Low), the SOCmin of moment of torsion (Temax, Temin), battery; Engine operation is in optimizing regional rotating speed (n Low), moment of torsion (Temax, Temin) is used for the zone of limiting engine work making the work area of engine operation in high efficiency, anti-emission carburetor; When during in the minimum speed of optimizing the district or minimum torque, working in pure motor mode less than engine operation; When demand torque greater than engine operation in the torque peak of optimizing the zone, work in the motor assistant mode; In the optimization zone of engine operation, and the SOC value works in pure engine mode when being higher than setting value; In the optimization zone of engine operation, and the SOC value is during less than setting value, work in the driving charge mode, wherein M-〉E represents to switch to driving engine, E-from motor〉M represents to switch to motor, E-from driving engine〉H represents to switch to combination drive, H-from driving engine〉E represents to switch to driving engine, E-from combination drive〉e represents to switch to driving charging, e-from driving engine〉E represents to switch to driving engine from the driving charging.
CN 200810057124 2008-01-30 2008-01-30 Hybrid power electric car energy managing method based on synthetic energy flow Pending CN101219665A (en)

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CN102053606A (en) * 2010-12-14 2011-05-11 杭州鸿泉数字设备有限公司 Automobile line matching method and device
CN102259646A (en) * 2011-05-18 2011-11-30 奇瑞汽车股份有限公司 Series hybrid electric vehicle as well as method and device for controlling energy of same
CN102493881A (en) * 2011-12-14 2012-06-13 重庆长安汽车股份有限公司 Energy flow analysis-based vehicle energy management system and method
CN102576473A (en) * 2009-10-06 2012-07-11 本田技研工业株式会社 Fuel efficiency information management server, fuel efficiency information management system, and fuel efficiency information management method
CN102897171A (en) * 2012-09-29 2013-01-30 北京智行鸿远汽车技术有限公司 High-pressure accessory energy managing method for series hybrid electric vehicle
CN103332192A (en) * 2013-06-28 2013-10-02 广东戈兰玛汽车系统有限公司 AMT (Automatic Mechanical Transmission) power transmission chain controller
CN103403992A (en) * 2011-02-22 2013-11-20 标致·雪铁龙汽车公司 Method for managing supply of electrical power to electrical equipment of motor vehicle
CN103674563A (en) * 2012-08-31 2014-03-26 重庆长安汽车股份有限公司 Integration testing method for analyzing energy flow of finished automobile
CN103661403A (en) * 2012-09-18 2014-03-26 福特环球技术公司 System and method for indicating delay in implementation of energy-expending action in powered vehicle system
CN103904384A (en) * 2013-12-20 2014-07-02 浙江吉利控股集团有限公司 Cooling control method for vehicle-mounted power battery of hybrid electric vehicle
CN105091892A (en) * 2014-05-13 2015-11-25 三菱电机株式会社 Vehicle energy management device
CN105905110A (en) * 2015-02-23 2016-08-31 福特全球技术公司 Battery Charging Strategy In A Hybrid Vehicle
CN106503306A (en) * 2016-09-30 2017-03-15 上汽通用汽车有限公司 A kind of virtual method of car load power-supply system and device
CN106585618A (en) * 2016-11-29 2017-04-26 河南科技大学 Energy management control method and device for tandem-type hybrid electric vehicle
CN109060368A (en) * 2018-06-11 2018-12-21 江西江铃集团新能源汽车有限公司 Electric vehicle cabin Thermal Balance Test method and system
CN109229091A (en) * 2018-08-29 2019-01-18 东南大学 Based on the maximized multimodal fusion power vehicle energy management strategies of energy efficiency
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