CN111581796A - Plug-in hybrid electric vehicle key technology evaluation system - Google Patents

Abstract

The invention provides a key technology evaluation system for a plug-in hybrid electric vehicle, comprising a vehicle static analysis unit, a test matrix construction unit, a signal acquisition unit, a vehicle test unit, a key technology analysis unit and a simulation optimization unit connected in sequence; The analysis unit includes static parameter query, configuration analysis, working mode analysis and electronic motor architecture analysis; the test matrix construction unit is constructed based on the basic results of vehicle static analysis; the signal acquisition unit is screened based on the test target of the test matrix; the vehicle test unit is based on the test Matrix, collect relevant signals according to the test target, and carry out bench test and road test; the key technology analysis unit includes steady-state control, drive control, regenerative braking control and key strategy analysis of energy management; simulation optimization unit is based on the analysis results of key technologies. Simulation models for extreme operating conditions and energy saving potential analysis.

Description

A plug-in hybrid electric vehicle key technology evaluation system

technical field

The invention belongs to the technical field of new energy vehicles, and in particular relates to a key technology evaluation system for plug-in hybrid electric vehicles.

Background technique

With the development and market promotion of plug-in hybrid electric vehicles, the technical level of plug-in hybrid electric vehicles has been greatly improved, but in terms of key technologies of hybrid electric vehicles, there is still a certain gap between them and international advanced models. gap. For a long time, the test and evaluation of plug-in hybrid electric vehicles has only stayed at the external performance level of the whole vehicle, lacking in-depth evaluation of key technologies, and lack of an in-depth evaluation system for evaluating key technologies of hybrid electric vehicles. Therefore, it is urgent to establish a set of The key technology evaluation system for plug-in hybrid electric vehicles is used to realize the test and evaluation of key technologies from the whole vehicle to the components, and to provide technical support for enterprise R&D verification.

SUMMARY OF THE INVENTION

In view of this, the present invention aims to propose a plug-in hybrid electric vehicle key technology evaluation system, based on the plug-in hybrid electric vehicle configuration characteristics, design a multi-dimensional test analysis matrix, from steady-state control, drive control, braking. In-depth evaluation of key technologies of plug-in hybrid electric vehicles in terms of control and energy management, and based on strategy analysis, build a simulation model to comprehensively analyze key vehicle technologies, provide methods for enterprise plug-in hybrid electric vehicle research and development verification, and shorten the research and development cycle. .

In order to achieve the above object, the technical scheme of the present invention is achieved in this way:

A plug-in hybrid electric vehicle key technology evaluation system, comprising a vehicle static analysis unit, a test matrix construction unit, a signal acquisition unit, a vehicle test unit, a key technology analysis unit and a simulation optimization unit connected in sequence;

The vehicle static analysis unit includes static parameter query, configuration analysis, working mode analysis and electronic motor architecture analysis;

The test matrix construction unit is constructed based on the basic results of vehicle static analysis;

The signal acquisition unit performs screening based on the test target of the test matrix;

The vehicle test unit collects relevant signals according to the test target according to the test matrix, and performs bench test and road test;

The key technology analysis unit includes steady state control, drive control, regenerative braking control and key strategy analysis of energy management;

The simulation optimization unit constructs a simulation model based on the analysis result of the key technology, and performs the simulation of extreme working conditions and the analysis of energy saving potential.

Further, the static parameter query is used to obtain key parameters of the vehicle, specifically including vehicle shape parameters: length, width, height, wheelbase, load, center of mass; engine parameters: displacement, compression ratio, maximum power, torque, etc., motor parameters , speed range, peak power, peak torque; battery parameters: such as battery type, battery capacity, maximum charge and discharge power.

Further, the configuration analysis includes a series configuration, a parallel configuration, a series-parallel configuration, and a power split configuration.

Further, the working mode analysis analyzes the working modes of the core components of the engine, drive motor and generator according to the configuration characteristics, including pure electric mode, series or parallel mode, regenerative braking mode, and parking charging mode.

Further, the electronic and electrical architecture analysis includes CAN network analysis and high-voltage architecture analysis.

Further, the test matrix generally includes but is not limited to ambient temperature, power battery power, driving mode, gear position, and working condition factors.

Further, the steady-state control strategy includes acceleration intention identification and braking intention identification, and the acceleration intention identification includes analyzing the relationship between accelerator pedal opening and driving torque in multiple dimensions of different driving modes, different SOCs, and different vehicle speeds. and the corresponding relationship between the accelerator pedal opening and acceleration; the braking intention identification refers to analyzing the brake pedal opening and motor braking torque, braking torque, braking Correspondence between hydraulic pressure, acceleration, and total braking torque.

Further, the drive control is to analyze the motor torque control, front and rear axle torque distribution, front and rear axle torque distribution under the driving conditions of creep, acceleration, uniform speed, Tip in, and Tip out in multiple dimensions of different modes, different gears, and different SOCs. Mode switching process, mode switching threshold.

Further, the regenerative braking control is to analyze the coasting condition, the braking condition and the emergency braking operation under multiple dimensions such as different modes, different gears, different SOCs, different vehicle speeds, and different brake pedal openings. The relationship between the motor braking torque and the vehicle speed and the opening of the brake pedal is analyzed, and the coordinated control relationship between the hydraulic pressure and the motor torque braking, and the coordinated control relationship between the motor braking torque and the ABS is analyzed.

Further, the energy management includes engine start-stop control, energy flow, and component operating points, and analyzes the coordinated control of the engine's start-stop process under various operating conditions, as well as the start-stop threshold value, and analyzes different temperatures and different SOCs. The energy flow analysis includes the energy transfer path, efficiency, the analysis of the engine and motor operating points, the analysis of the engine control curve, and the high efficiency point.

Compared with the prior art, a plug-in hybrid electric vehicle key technology evaluation system according to the present invention has the following advantages:

The invention proposes a plug-in hybrid electric vehicle key technology evaluation needs, provides an evaluation process, from vehicle static analysis to key technology analysis to simulation research, in-depth evaluation of key technologies, and optimizes plug-in hybrid power for enterprise research and development. Automotive provides test methods to effectively shorten the development cycle.

Description of drawings

The accompanying drawings constituting a part of the present invention are used to provide further understanding of the present invention, and the exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the attached image:

FIG. 1 is a flow chart of vehicle evaluation of a plug-in hybrid electric vehicle key technology evaluation system according to an embodiment of the present invention.

Detailed ways

It should be noted that the embodiments of the present invention and the features of the embodiments may be combined with each other under the condition of no conflict.

In the description of the present invention, it should be understood that the terms "center", "portrait", "horizontal", "top", "bottom", "front", "rear", "left", "right", " The orientation or positional relationship indicated by vertical, horizontal, top, bottom, inner, outer, etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and The description is simplified rather than indicating or implying that the device or element referred to must have a particular orientation, be constructed and operate in a particular orientation, and therefore should not be construed as limiting the invention. In addition, the terms "first", "second", etc. are used for descriptive purposes only, and should not be construed as indicating or implying relative importance or implying the number of indicated technical features. Thus, a feature defined as "first", "second", etc., may expressly or implicitly include one or more of that feature. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

In the description of the present invention, it should be noted that the terms "installed", "connected" and "connected" should be understood in a broad sense, unless otherwise expressly specified and limited, for example, it may be a fixed connection or a detachable connection Connection, or integral connection; can be mechanical connection, can also be electrical connection; can be directly connected, can also be indirectly connected through an intermediate medium, can be internal communication between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood through specific situations.

The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

As shown in Figure 1, a plug-in hybrid vehicle key technology evaluation system includes vehicle static analysis, test matrix construction, signal acquisition, vehicle testing, key technology analysis and simulation optimization.

As shown in FIG. 1 , the vehicle static analysis includes static parameter query, configuration analysis, working mode analysis, and electronic motor architecture analysis;

As shown in Figure 1, the static parameter query refers to obtaining the key parameters of the vehicle and providing basic data for the analysis of key technologies, including the overall vehicle shape parameters, such as length, width, height, wheelbase, load, center of mass, etc., and engine parameters, such as Displacement, compression ratio, maximum power, torque, etc., motor parameters, such as speed range, peak power, peak torque, etc., battery parameters, such as battery type, battery capacity, maximum charge and discharge power, etc.;

As shown in Figure 1, the configuration analysis is a basic judgment on the driving type of the vehicle. The main configurations include series configuration, parallel configuration, series-parallel configuration, power split configuration, etc. The configuration analysis is important for subsequent work. Pattern analysis and key technology analysis are of great significance;

As shown in Figure 1, the working mode analysis is based on the further analysis of the configuration analysis. (parallel) mode, regenerative braking mode, parking charging mode and other working modes;

As shown in Figure 1, the electronic and electrical architecture analysis is the preliminary preparation for the signal acquisition, which specifically includes CAN network analysis, high-voltage architecture analysis, etc., providing a basis for signal analysis and sensor layout solutions;

As shown in FIG. 1 , the construction of the test matrix is based on the basic results of the static analysis of the vehicle, and the test matrix generally includes but is not limited to factors such as ambient temperature, power battery power (SOC), driving mode, gear position, and operating conditions;

As shown in FIG. 1 , the ambient temperature generally includes high temperature, low temperature, normal temperature, etc. The SOC generally includes three kinds of SOC, high, medium and low, and also includes the limit SOC that is difficult to reach during the driving process of the vehicle. The driving model refers to the vehicle The function buttons for driving generally include modes such as economy mode (ECO), normal mode (Normal), power mode (Power), and power active maintenance mode (Saving), and the gears generally include D gear, B gear and other gears , such as a single-pedal gear; the working conditions include driving conditions, braking conditions and standard cycle conditions;

As shown in Figure 1, the signal acquisition is selected based on the test target of the test matrix, and it is necessary to ensure the number of key signals, sampling frequency, reliability, synchronization, etc., mainly including CAN signal acquisition and sensor data. collection;

According to the target of this test, the number of signals is to screen out strong correlation signals, general correlation signals and auxiliary signals hierarchically, and formulate the acquisition method and signal acquisition scheme of the required signals. The acquisition method generally adopts CAN signal acquisition and signal acquisition. sensor acquisition;

The sampling frequency is determined according to the analysis requirements. For the steady state test, a lower sampling frequency (such as 10Hz to 50Hz, etc.) can be used to save storage space, and a higher sampling frequency is required for transient conditions. (such as 100Hz to 1000Hz) to ensure adequate testing of transient characteristics;

The reliability of the data collection needs to be tested under extreme conditions of the vehicle after the sensor and the CAN bus are installed, such as the rapid acceleration test, the maximum speed test, and the low temperature test, etc. The test time generally lasts for a long time (such as 3). hours), to ensure that data collection is not lost and error-free for a long time under extreme working conditions;

The signal acquisition synchronization is ensured by the data acquisition module and the host computer. All sensor output lines and CAN bus are connected to the same data acquisition module to ensure the synchronization of signal acquisition. The host computer processes the signals synchronously to ensure that the signal is collected. synchronization of processing;

As shown in Figure 1, the CAN signal acquisition methods generally include power CAN, OBD access and other forms, including vehicle controller signals, such as vehicle speed, accelerator pedal, brake pedal, gear, acceleration, mode, etc., engine signal , such as engine speed, torque, water temperature, fuel injection signal, ignition signal, etc., battery controller signals, such as battery voltage, current, SOC, temperature, etc., motor controller signals, such as motor speed, motor torque, water temperature, bus current, Bus voltage and other signals;

As shown in Figure 1, the sensor data is collected, and a sensor arrangement scheme is constructed according to the vehicle analysis result, which specifically includes signals such as current sensor, voltage sensor, displacement sensor, temperature sensor, torque sensor, hydraulic sensor, etc.;

As shown in Figure 1, the vehicle test actually collects relevant signals according to the test target according to the test matrix, and performs bench test and road test;

As shown in Figure 1, the key technology analysis of the core tasks of the key technology evaluation, specifically including the analysis of key strategies such as steady-state control, drive control, regenerative braking control, and energy management;

As shown in FIG. 1 , the steady-state control strategy mainly includes acceleration intention recognition and braking intention recognition. The acceleration intention recognition includes analyzing the difference between the accelerator pedal opening and the speed of the accelerator pedal in multiple dimensions such as different driving modes, different SOCs, and different vehicle speeds. The relationship between the driving torque and the corresponding relationship between the accelerator pedal opening and acceleration; the braking intention identification refers to analyzing the relationship between the brake pedal opening and the Correspondence between motor braking torque, brake hydraulic pressure, acceleration, and total braking torque;

As shown in Figure 1, the drive control is to analyze the motor torque control under driving conditions such as creep, acceleration, constant speed, Tip in, Tip out and other driving conditions under different modes, different gears, different SOC and other dimensions. Front and rear axle torque distribution, mode switching process, mode switching threshold;

As shown in Figure 1, the regenerative braking control is to analyze the coasting conditions, braking conditions and emergency conditions under multiple dimensions such as different modes, different gears, different SOCs, different vehicle speeds, and different brake pedal openings. The relationship between the motor braking torque and the vehicle speed and the opening of the brake pedal under braking conditions, the coordinated control relationship between hydraulic pressure and motor torque braking, and the coordinated control relationship between motor braking torque and ABS;

As shown in Figure 1, the energy management includes engine start-stop control, energy flow, and component operating points, etc., analyzes the coordinated control of the engine's start-stop process under various operating conditions, and the start-stop threshold value, analyzes different temperatures , Cycle conditions under different SOC and energy flow under a single operating condition, energy flow analysis includes energy transfer path, efficiency, etc., analysis of engine and motor operating points, analysis of engine control curves, and high efficiency points;

As shown in Fig. 1, the optimization simulation analysis, based on the analysis results of key technologies, builds a simulation model, and performs limit working condition simulation and energy saving potential analysis. For example, simulation analysis of wet and slippery roads, extreme temperature analysis, limp condition analysis, regenerative braking failure protection, etc., the energy saving potential analysis includes vehicle wind resistance optimization, vehicle quality reduction, component performance improvement, and accessory performance optimization The correlation between other factors and vehicle energy saving is quantified by means of simulation to indicate the direction of vehicle energy saving optimization.

Taking a plug-in hybrid vehicle as an example, the embodiments of the present invention will be described in detail:

The key technology evaluation system and method of a certain plug-in hybrid electric vehicle has undergone vehicle static analysis, test matrix construction, signal acquisition, vehicle test, key technology analysis and simulation optimization;

The vehicle static analysis includes static parameter query, configuration analysis, working mode analysis and electronic motor architecture analysis;

The static parameter query refers to obtaining the key parameters of the vehicle and providing basic data for the analysis of key technologies. The vehicle has an engine, a generator, and a drive motor. Therefore, the key parameter query specifically includes the vehicle shape parameters, such as length, width, height, Wheelbase, load, center of mass, etc., engine parameters, such as displacement, compression ratio, maximum power, torque, etc., drive motor parameters and generator parameters, such as speed range, peak power, peak torque, etc. Power battery parameters, such as battery type , battery capacity, maximum charge and discharge power, etc.;

The configuration analysis is a basic judgment on the driving type of the vehicle. The main configurations include series configuration, parallel configuration, series-parallel configuration, power split configuration, etc. Judging from the powertrain structure, the vehicle is a series-parallel configuration. Configuration, configuration analysis is of great significance for subsequent work mode analysis and key technology analysis;

The working mode analysis is based on the further analysis of the configuration analysis, and according to the configuration characteristics, the working modes of the core components such as the engine, the drive motor, and the generator are analyzed. mode, parallel mode, pure engine driving mode, regenerative braking mode, parking charging mode;

Carrying out the electronic and electrical architecture analysis on the plug-in hybrid electric vehicle is the preliminary preparation for the signal acquisition, specifically including CAN network analysis, high-voltage architecture analysis, etc., to provide a basis for signal analysis and sensor arrangement;

Based on the analysis results of the plug-in hybrid electric vehicle, a test matrix is constructed, and the test matrix for the vehicle includes factors such as ambient temperature, power battery power (SOC), driving mode, gear position, and operating conditions;

The ambient temperature generally includes high temperature, low temperature, normal temperature and other temperatures. The SOC generally includes three kinds of SOC, high, medium and low, and also includes the limit SOC that is difficult to reach during the driving process of the vehicle. The driving model refers to the function keys of the vehicle. Generally, Including modes such as economy mode (ECO), normal mode (Normal), power mode (Power), active battery maintenance mode (Saving), etc., the gears generally include D gear, B gear and B1, B2, B3 and other gears, The working conditions include driving conditions, braking conditions and standard cycle conditions; these factors are cross-combined, and a test matrix is designed. Driving condition test;

The signal acquisition is screened based on the test target of the test matrix, and it is necessary to ensure the number of key signals, sampling frequency, reliability, synchronization, etc., mainly including CAN signal acquisition and sensor data acquisition;

According to the target of this test, the number of signals is to screen out strong correlation signals, general correlation signals and auxiliary signals hierarchically, and formulate the acquisition method and signal acquisition scheme of the required signals. The acquisition method generally adopts CAN signal acquisition and signal acquisition. sensor acquisition. For example, for this plug-in hybrid vehicle, when testing the acceleration performance, the core signals include vehicle speed, accelerator pedal opening, motor speed torque, engine speed torque, power battery SOC current, voltage, generator torque, acceleration, and general correlation signals Including vehicle gear, mode, brake pedal opening, engine water temperature, power battery discharge power limit and other signals, auxiliary signals including engine start request signal, fuel injection signal, drive motor water temperature and other signals

The sampling frequency is determined according to the analysis requirements. For the steady state test, a lower sampling frequency (such as 10Hz to 50Hz, etc.) can be used to save storage space, and a higher sampling frequency is required for transient conditions. (such as 100Hz to 1000Hz) to ensure adequate testing of transient characteristics;

The reliability of the data collection needs to be tested under extreme conditions of the vehicle after the sensor and the CAN bus are installed, such as the rapid acceleration test, the maximum speed test, and the low temperature test, etc. The test time generally lasts for a long time (such as 3). hours), to ensure that data collection is not lost and error-free for a long time under extreme working conditions;

The signal acquisition synchronization is ensured by the data acquisition module and the host computer. All sensor output lines and CAN bus are connected to the same data acquisition module to ensure the synchronization of signal acquisition. The host computer processes the signals synchronously to ensure that the signal is collected. synchronization of processing;

For the acquisition of CAN signals of the vehicle, it generally includes power CAN, OBD access and other forms, including vehicle controller signals, such as vehicle speed, accelerator pedal, brake pedal, gear, acceleration, mode, etc., engine signals, such as engine speed, Torque, water temperature, fuel injection signal, ignition signal, etc., battery controller signals, such as battery voltage, current, SOC, temperature, etc., motor controller signals, such as motor speed, motor torque, water temperature, bus current, bus voltage and other signals;

For the vehicle, the method of acquiring the sensor signal, according to the analysis result of the vehicle, construct a sensor arrangement plan, which specifically includes signals such as current sensor, voltage sensor, displacement sensor, temperature sensor, torque sensor, hydraulic sensor and so on;

For the test of the vehicle, according to the test matrix, the relevant signals are collected according to the test target, and the bench test and the road test are carried out;

For this vehicle, the key technology analysis of the core tasks of the key technology evaluation, specifically including the analysis of key strategies such as steady-state control, drive control, regenerative braking control, and energy management;

The steady-state control strategy mainly includes acceleration intention recognition and braking intention recognition. The acceleration intention recognition includes analyzing the relationship between accelerator pedal opening and driving torque in multiple dimensions such as different driving modes, different SOCs, and different vehicle speeds. and the corresponding relationship between the accelerator pedal opening and acceleration; the braking intention identification refers to analyzing the relationship between the opening of the brake pedal and the braking torque of the motor, braking Correspondence between dynamic hydraulic pressure, acceleration, and total braking torque;

The drive control is to analyze the motor torque control, front and rear axle torque distribution, modes under driving conditions such as creep, acceleration, constant speed, Tip in, Tip out and other dimensions under different modes, different gears, and different SOCs. Switching process, mode switching threshold;

The regenerative braking control is a motor that analyzes coasting conditions, braking conditions and emergency braking conditions in multiple dimensions such as different modes, different gears, different SOCs, different vehicle speeds, and different brake pedal openings. The relationship between braking torque and vehicle speed and brake pedal opening, analyze the coordinated control relationship between hydraulic pressure and motor torque braking, and the coordinated control relationship between motor braking torque and ABS;

The energy management includes engine start-stop control, energy flow, and component operating points. It analyzes the coordinated control of the engine's start-stop process under various operating conditions, as well as the start-stop threshold, and analyzes the cycle at different temperatures and different SOCs. Energy flow under working conditions and single working conditions, energy flow analysis includes energy transfer path, efficiency, etc., analysis of engine and motor operating points, analysis of engine control curves, and high-efficiency points;

The optimization simulation analysis is based on the analysis results of key technologies, and a simulation model is constructed to perform extreme working condition simulation and energy saving potential analysis. Simulation analysis of temperature analysis, limp condition analysis, regenerative braking failure protection, etc. The energy saving potential analysis includes factors such as vehicle wind resistance optimization, vehicle quality reduction, component performance improvement, accessory performance optimization and other factors related to vehicle energy saving and quantify by means of simulation, indicating the direction of automobile energy saving optimization.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the scope of the present invention. within the scope of protection.

Claims (10)

1. The utility model provides a plug-in hybrid vehicle key technology evaluation system which characterized in that: the system comprises a vehicle static analysis unit, a test matrix construction unit, a signal acquisition unit, a vehicle test unit, a key technology analysis unit and a simulation optimization unit which are connected in sequence;

the vehicle static analysis unit comprises static parameter query, configuration analysis, working mode analysis and electronic motor architecture analysis;

the test matrix construction unit is constructed based on basic results of vehicle static analysis;

the signal acquisition unit is used for screening based on a test target of the test matrix;

the vehicle testing unit collects related signals according to the testing matrix and a testing target, and performs rack testing and road testing;

the key technology analysis unit comprises steady-state control, drive control, regenerative brake control and energy management key strategy analysis;

and the simulation optimization unit constructs a simulation model based on the key technology analysis result, and performs extreme condition simulation and energy-saving potential analysis.

2. The plug-in hybrid electric vehicle key technology evaluation system of claim 1, characterized in that: the static parameter query is used for obtaining vehicle key parameters, and specifically comprises vehicle appearance parameters: length, width, height, wheelbase, load and mass center; engine parameters: displacement, compression ratio, maximum power, torque and the like, motor parameters, rotating speed range, peak power and peak torque; battery parameters: such as battery type, battery capacity, maximum charge-discharge power.

3. The plug-in hybrid electric vehicle key technology evaluation system of claim 1, characterized in that: the configuration analysis comprises a series configuration, a parallel configuration, a series-parallel configuration and a power splitting configuration.

4. The plug-in hybrid electric vehicle key technology evaluation system of claim 1, characterized in that: the working mode analysis analyzes the working modes of the core components of the engine, the driving motor and the generator according to the configuration characteristics, and comprises a pure electric mode, a series or parallel mode, a regenerative braking mode and a parking charging mode.

5. The plug-in hybrid electric vehicle key technology evaluation system of claim 1, characterized in that: the electronic and electric appliance architecture analysis comprises CAN network analysis and high-voltage architecture analysis.

6. The plug-in hybrid electric vehicle key technology evaluation system of claim 1, characterized in that: the test matrix generally includes, but is not limited to, ambient temperature, power battery level, driving mode, gear, and operating condition factors.

7. The plug-in hybrid electric vehicle key technology evaluation system of claim 1, characterized in that: the steady-state control strategy comprises acceleration intention identification and braking intention identification, wherein the acceleration intention identification comprises analyzing the relation between the opening degree of an accelerator pedal and the driving torque and the corresponding relation between the opening degree of the accelerator pedal and the acceleration under the multiple dimensions of different running modes, different SOCs and different vehicle speeds; the brake intention identification means that the corresponding relation between the opening degree of a brake pedal and the braking torque, the braking hydraulic pressure, the acceleration and the total braking torque of the motor under the multiple dimensions of different gears, different modes and different SOC is analyzed.

8. The plug-in hybrid electric vehicle key technology evaluation system of claim 1, characterized in that: the driving control is motor torque control, front and rear shaft torque distribution, a mode switching process and a mode switching threshold under the driving conditions of crawling, accelerating, constant speed, Tip in and Tip out under the multiple dimensions of different modes, different gears and different SOC.

9. The plug-in hybrid electric vehicle key technology evaluation system of claim 1, characterized in that: the regenerative braking control is to analyze the relation between the motor braking torque and the vehicle speed and the brake pedal opening degree of the sliding working condition, the braking working condition and the emergency braking working condition, analyze the coordination control relation between the hydraulic pressure and the motor torque braking and the coordination control relation between the motor braking torque and the ABS under a plurality of dimensions of different modes, different gears, different SOC, different vehicle speeds, different brake pedal opening degrees and the like.

10. The plug-in hybrid electric vehicle key technology evaluation system of claim 1, characterized in that: the energy management comprises the aspects of engine start-stop control, energy flow and component working points, the coordination control of the start-stop process of the engine under various working conditions is analyzed, the start-stop threshold value is analyzed, the energy flow under the circulating working conditions and the single working condition under different temperatures and different SOC is analyzed, the energy flow analysis comprises the aspects of energy transfer paths and efficiency, the working points of the engine and the motor are analyzed, and the control curve of the engine and the high-efficiency point are analyzed.

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