CN111791720B - Electric vehicle control system - Google Patents

Electric vehicle control system Download PDF

Info

Publication number
CN111791720B
CN111791720B CN202010688742.3A CN202010688742A CN111791720B CN 111791720 B CN111791720 B CN 111791720B CN 202010688742 A CN202010688742 A CN 202010688742A CN 111791720 B CN111791720 B CN 111791720B
Authority
CN
China
Prior art keywords
signal
frame
electric vehicle
current
current digital
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.)
Active
Application number
CN202010688742.3A
Other languages
Chinese (zh)
Other versions
CN111791720A (en
Inventor
陈清付
张柳鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Gaobiao Intelligent Technology Co ltd
Original Assignee
Dongguan Gaobiao Software Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dongguan Gaobiao Software Technology Co ltd filed Critical Dongguan Gaobiao Software Technology Co ltd
Priority to CN202010688742.3A priority Critical patent/CN111791720B/en
Publication of CN111791720A publication Critical patent/CN111791720A/en
Application granted granted Critical
Publication of CN111791720B publication Critical patent/CN111791720B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L15/00Methods, circuits, or devices for controlling the traction-motor speed of electrically-propelled vehicles
    • B60L15/20Methods, circuits, or devices for controlling the traction-motor speed of electrically-propelled vehicles for control of the vehicle or its driving motor to achieve a desired performance, e.g. speed, torque, programmed variation of speed
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/0023Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
    • B60L3/0046Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/04Cutting off the power supply under fault conditions
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B62LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62HCYCLE STANDS; SUPPORTS OR HOLDERS FOR PARKING OR STORING CYCLES; APPLIANCES PREVENTING OR INDICATING UNAUTHORIZED USE OR THEFT OF CYCLES; LOCKS INTEGRAL WITH CYCLES; DEVICES FOR LEARNING TO RIDE CYCLES
    • B62H5/00Appliances preventing or indicating unauthorised use or theft of cycles; Locks integral with cycles
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B62LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62KCYCLES; CYCLE FRAMES; CYCLE STEERING DEVICES; RIDER-OPERATED TERMINAL CONTROLS SPECIALLY ADAPTED FOR CYCLES; CYCLE AXLE SUSPENSIONS; CYCLE SIDE-CARS, FORECARS, OR THE LIKE
    • B62K23/00Rider-operated controls specially adapted for cycles, i.e. means for initiating control operations, e.g. levers, grips
    • B62K23/02Rider-operated controls specially adapted for cycles, i.e. means for initiating control operations, e.g. levers, grips hand actuated
    • B62K23/04Twist grips
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/72Electric energy management in electromobility

Landscapes

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

Abstract

The present invention provides an electric vehicle control system, comprising: the device comprises a signal input module, a processing module and an execution module; the signal input module is used for inputting one or more of real-time crank signals, brake crank signals, anti-theft signals and vehicle speed detection signals to the processing module; the processing module is used for processing the received signals and sending corresponding control instructions to the execution module; the execution module is used for controlling a motor driver of the electric vehicle to drive a motor to output corresponding driving force or reverse driving force according to the received control instruction. The motor driver control system receives signals generated by different parts of the electric vehicle and a control circuit thereof in a unified manner through the signal input module, processes the acquired signals through the processing module, further drives the execution module to complete corresponding instructions, controls the motor driver through a simple and efficient software control system, realizes the requirements of different functions, has strong expansibility, and can meet the requirements of the electric vehicle control system on multifunctional realization.

Description

Electric vehicle control system
Technical Field
The invention relates to the technical field of electric vehicle control, in particular to an electric vehicle control system.
Background
Electric vehicles, namely electric drive vehicles, are also known as electric drive vehicles. Electric vehicles are classified into alternating current electric vehicles and direct current electric vehicles. Generally, an electric vehicle is a vehicle that uses a battery as an energy source, and converts electric energy into mechanical energy through a controller, a motor and other components to move so as to control the current and change the speed.
At present, most motor control systems of electric vehicles carry out drive control through a motor driver, but most of the existing motor control systems can only complete the control of acceleration and deceleration, have single functions and cannot meet the requirements of people on intelligent electric vehicle control systems.
Disclosure of Invention
In view of the above problems, the present invention is directed to a control system for an electric vehicle.
The purpose of the invention is realized by adopting the following technical scheme:
an electric vehicle control system is proposed, comprising: the device comprises a signal input module, a processing module and an execution module; wherein,
the signal input module is used for inputting one or more of real-time crank signals, brake crank signals, anti-theft signals and vehicle speed detection signals to the processing module;
the processing module is used for processing the received signals and sending corresponding control instructions to the execution module;
the execution module is used for controlling a motor driver of the electric vehicle to drive a motor to output corresponding driving force or reverse driving force according to the received control instruction.
In one embodiment, the signal input module is connected with a rotating handle sampling circuit of the electric vehicle to acquire a rotating handle voltage signal;
the processing module calculates corresponding motor driving force output according to the handle rotating voltage signal and generates a corresponding control instruction so as to control a motor driver of the electric vehicle to control the motor to drive the corresponding driving force.
In one implementation mode, the signal input module is connected with a brake sampling circuit of the electric vehicle to acquire a brake signal;
the processing module detects the acquired brake signal, and when the brake signal is detected to be a low level signal, the processing module calculates corresponding motor reverse driving force output according to the current speed of the electric vehicle and generates a corresponding control instruction.
In one implementation mode, the signal input module is connected with an anti-theft signal generation circuit of the electric vehicle to acquire an anti-theft signal;
the processing module detects the acquired anti-theft signal, and when the anti-theft signal is detected to be a low level signal, the processing module calculates corresponding motor reverse driving force output according to the current speed of the electric vehicle and generates a corresponding control instruction so as to control a motor driver of the electric vehicle to output the reverse driving force to achieve the effect of locking the motor.
In one embodiment, the signal input module is connected with a speed detection unit of the electric vehicle to acquire a real-time speed detection signal of the electric vehicle;
the processing module detects the acquired speed detection signal, and generates a corresponding control instruction when the speed of the electric vehicle is greater than a set limit speed so as to control the motor controller to control the motor to reduce the output of the driving force and control the electric vehicle to reduce the speed to the limit speed.
In one embodiment, the signal input module further comprises: the current sampling unit is connected with the electric vehicle and used for acquiring a current signal output by the electric vehicle storage battery when the electric vehicle storage battery works;
the processing module carries out arc detection according to the acquired current signal, generates a corresponding control instruction when detecting that a direct current arc fault occurs, and cuts off a power supply line of the storage battery of the electric vehicle by the execution module.
The invention has the beneficial effects that: the electric vehicle control system uniformly receives level signals or data acquisition signals generated by different parts of an electric vehicle and a control circuit thereof through the signal input module, processes the acquired signals through the processing module, further drives the execution module to complete corresponding instructions, controls the motor driver through a simple and efficient software control system so as to meet the requirements of different functions (such as acceleration, deceleration, theft prevention, speed limitation and the like), has strong expansibility, and can meet the requirements of the electric vehicle control system on multifunctional realization.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a block diagram of the frame of the present invention;
FIG. 2 is a block diagram of a signal input module according to the present invention;
fig. 3 is a frame structure view of the arc fault detection unit of the present invention.
Detailed Description
The invention is further described in connection with the following application scenarios.
Referring to fig. 1, there is shown an electric vehicle control system comprising: a signal input module 1, a processing module 2 and an execution module 3, wherein,
the signal input module 1 is used for inputting one or more of real-time crank signals, brake crank signals, anti-theft signals and vehicle speed detection signals into the processing module 2;
the processing module 2 is used for processing the received signals and sending corresponding control instructions to the execution module 3;
the execution module 3 is used for controlling a motor driver of the electric vehicle to drive a motor to output corresponding driving force or reverse driving force according to the received control instruction.
In the above embodiment of the present invention, the signal input module 1 uniformly receives level signals or data acquisition signals generated by different components of the electric vehicle and a control circuit thereof, the processing module 2 processes the acquired signals, and further drives the execution module 3 to complete corresponding instructions, and the motor driver is controlled by developing a simple and efficient software control system to realize the requirements of different functions (such as acceleration, deceleration, theft prevention, speed limitation, etc.), and the expansibility is strong, so that the requirement of the electric vehicle control system on the realization of multiple functions can be satisfied.
In one embodiment, the processing module 2 employs a processing unit including a single chip, an MCU, and an ECU to satisfy the implementation of the above logic functions.
In one embodiment, referring to fig. 2, the signal input module 1 is connected to a handle sampling circuit of an electric vehicle to obtain a handle voltage signal;
the processing module 2 calculates corresponding motor driving force output according to the handle-rotating voltage signal and generates a corresponding control instruction so as to control a motor driver of the electric vehicle to control the motor to drive the corresponding driving force.
In order to meet the requirement of speed regulation of the electric vehicle, the signal input module 1 is connected with a handle rotating sampling circuit of the electric vehicle, the handle rotating sampling circuit rotates to the maximum rotating position from the starting position according to a handle, small-to-large handle rotating voltage signals are respectively output, the signal input module 1 inputs the real-time handle rotating voltage signals into the processing module 2, the processing module 2 obtains corresponding control instructions according to the size of the handle rotating voltage signals, and the execution module 3 controls the motor to output zero-to-maximum driving force according to the small-to-large handle rotating voltage signals.
In one embodiment, the signal input module 1 is connected with a brake sampling circuit of the electric vehicle to acquire a brake signal;
the processing module 2 detects the acquired brake signal, and when the brake signal is detected to be a low level signal, the processing module calculates corresponding motor reverse driving force output according to the current speed of the electric vehicle and generates a corresponding control instruction.
In order to meet the requirement of braking of the electric vehicle, when a user closes the brake crank, the output of the brake sampling circuit is a low level signal, meanwhile, a brake voltage signal with a corresponding magnitude is output by the brake sampling circuit according to the stress condition of the brake crank, when the IO port of the control system connected with the brake sampling circuit detects that the input is the low level, the processing module 2 further calculates the magnitude of corresponding reverse driving force according to the current vehicle speed and the brake voltage signal to generate a control instruction, and a motor driver applies corresponding direction driving force to the motor to achieve the braking effect.
In one embodiment, the signal input module 1 is connected with an anti-theft signal generating circuit of the electric vehicle to acquire an anti-theft signal;
the processing module 2 detects the acquired anti-theft signal, and when the anti-theft signal is detected to be a low level signal, the processing module calculates corresponding motor reverse driving force output according to the current speed of the electric vehicle and generates a corresponding control instruction so as to control a motor driver of the electric vehicle to output the reverse driving force to achieve the effect of locking the motor.
In order to meet the anti-theft requirement of the electric vehicle, when the anti-theft device detects that the electric vehicle has anti-theft threat, the anti-theft device sends out a low-level anti-theft signal through the anti-theft signal generating circuit, when the control system is connected to an IO port of the anti-theft device and detects that the input is low level, the processing module 2 calculates the corresponding reverse driving force according to the current vehicle speed to generate a control instruction, and the motor driver applies the corresponding square reverse driving force to the motor so as to achieve the effect of locking the motor.
In one embodiment, the signal input module 1 is connected with a speed detection unit of an electric vehicle, and acquires a real-time speed detection signal of the electric vehicle;
the processing module 2 detects the acquired vehicle speed detection signal, and when the vehicle speed of the electric vehicle is greater than a set limit speed, the processing module generates a corresponding control instruction so as to control the motor controller to control the motor to reduce the output of the driving force and control the electric vehicle to reduce the speed to the limit speed.
In order to meet the requirement of speed limit of the electric vehicle, the vehicle speed detection unit detects the current vehicle speed of the electric vehicle in real time, when the processing module 2 detects that the current vehicle speed is greater than a set limit speed, the processing module calculates corresponding reverse driving force according to the current vehicle speed and generates a control instruction, a motor driver applies corresponding square reverse driving force to the motor to achieve a speed reduction effect, and when the speed is reduced to the set limit speed, the motor is controlled to output constant driving force to enable the electric vehicle to run at a constant speed.
In one embodiment, the signal input module 1 further comprises: the current sampling unit is connected with the electric vehicle and used for acquiring a current signal output by the electric vehicle storage battery when the electric vehicle storage battery works;
the processing module 2 carries out fault arc detection according to the acquired current signal, generates a corresponding control instruction when detecting that a direct current arc fault occurs, and cuts off a power supply line of the storage battery of the electric vehicle by the execution module 3.
In one embodiment, referring to fig. 3, the current sampling unit includes a current transformer 8, and the current transformer 8 is used for collecting a current signal output by the storage battery of the electric vehicle;
the signal input module 1 includes a current signal processing unit 11;
the current signal processing unit 11 performs amplification, filtering, and AD conversion processing on the current signal acquired by the current transformer 8, converts the acquired current signal into a current digital signal, and inputs the current digital signal into the processing module 2.
Aiming at the problems that in the prior art, the contact failure, the damage of an insulating layer or other conductive properties are easily caused by long-time use of a motor and a storage battery of an electric vehicle, so that a connecting wire or a motor is easily subjected to power-on removal to generate an arc fault, the temperature is increased greatly, and the ignition accidents of the storage battery, the motor and the like can be caused if the temperature is serious; therefore, in the above embodiment, the electric vehicle control system of the present invention further detects the output current of the storage battery by setting the current sampling unit, and simultaneously performs fault arc detection on the acquired current signal by the processing module 2, and when an arc fault is detected, the circuit is cut off in time by the execution module 3, so as to ensure the operation safety of the electric vehicle. Meanwhile, the signal input module 1 is used for preprocessing the current signal acquired by the current transformer 8 and inputting the acquired current digital signal into the processing module 2, so that the processing module 2 can conveniently detect and process the current digital signal for further fault arc.
In one embodiment, the processing module 2 comprises a fault arc detection unit 21;
the fault arc detection unit 21 is used for detecting fault arc by the acquired current signal, and comprises:
1) performing frame windowing processing on the acquired current digital signal by adopting a window with a set length;
2) respectively performing wavelet decomposition on the single-frame current digital signals aiming at the single-frame current digital signals to obtain high-frequency wavelet coefficients and low-frequency wavelet coefficients of the single-frame current digital signals;
reconstructing according to the obtained high-frequency wavelet coefficient to obtain the high-frequency component of the frame current digital signal;
calculating a first detection parameter of the fault arc according to the high-frequency component of the frame current digital signal, judging according to the obtained first detection parameter, and judging whether the fault arc is a suspected arc fault signal;
3) when a certain frame of current digital signal is judged to be a suspected arc fault signal, further acquiring a next B frame of current digital signal of the frame of current digital signal, and further judging whether an arc fault occurs according to a second detection parameter of a high-frequency component of the next B frame of current digital signal and the acquired second detection parameter;
4) when the occurrence of the arc fault is detected, a control instruction is generated and sent to the execution module 3, so that the execution module 3 cuts off a power supply line of the storage battery of the electric vehicle.
In the above embodiment, a technical scheme for detecting a fault arc according to a current digital signal is provided, and since it is found that when a fault arc occurs, a large number of discrete cut-off points are generated in the current signal, so that the fluctuation range and the fluctuation rate of the high-frequency component of the current signal are increased sharply, the fault arc can be accurately reflected by using the high-frequency component contained in the current digital signal as a basis, and the occurrence of the arc fault can be accurately judged, so that the accuracy is high, and the electric vehicle control system can be facilitated to execute corresponding cut-off actions in time, and accidents are prevented.
In one embodiment, the fault arc detection unit 21 performs frame windowing on the acquired current digital signal by using a window with a set length, where the window length N is 200, the frame length is 0.2s, and the sampling frequency of the current digital signal is 1000 Hz.
In one embodiment, in the fault arc detection unit 21, for a single-frame current digital signal, performing wavelet decomposition on the single-frame current digital signal respectively includes:
performing wavelet decomposition on the single-frame current digital signal by adopting a set wavelet basis and a set decomposition layer number, wherein the adopted wavelet basis is dB1, and the decomposition layer number is J-4; acquiring high-frequency wavelet coefficients g (J, K) and low-frequency wavelet coefficients d (J, K) of the frame current digital signal, wherein g (J, K) represents a kth high-frequency wavelet coefficient of a jth layer, wherein J is 1, 2. d (j, k) represents the kth low-frequency wavelet coefficient of the jth layer;
reconstructing according to the obtained high-frequency wavelet coefficient to obtain the high-frequency component G (t) of the frame current digital signal, wherein G (t) represents the high-frequency component of the t-th frame current digital signal, and G (t) is (x)t(1),xt(2),...,xt(n),...,xt(N)), wherein xtAnd (N) represents the amplitude corresponding to the nth sampling point in the high-frequency component of the current digital signal of the t frame, and N represents the number of the sampling points of the current digital signal of each frame.
In one embodiment, the arc fault detection unit 21 further includes, after acquiring the high frequency coefficient of the single-frame current digital signal:
denoising the acquired high-frequency wavelet coefficient, which comprises the following steps:
performing threshold processing on the obtained high-frequency wavelet coefficient, wherein the adopted threshold processing function is as follows:
Figure BDA0002588568070000061
in the formula, g' (j, k) represents the kth high-frequency wavelet coefficient of the jth layer after threshold processing, g (j, k) represents the obtained kth high-frequency wavelet coefficient of the jth layer, and omega1And ω2Indicating a set first threshold and a second threshold, where ω2=β×ω1,β∈[0.1,0.2];
Figure BDA0002588568070000062
Sigma denotes the standard deviation estimate of the noise,
Figure BDA0002588568070000063
med (g (1)) represents the median of high-frequency wavelet coefficients g (1, k) obtained after wavelet decomposition of the 1 st layer, N represents the length of a single-frame current digital signal, and alpha represents an opsonization factor, wherein alpha belongs to [0.9,1.1 ]];
And reconstructing according to the high-frequency wavelet coefficient after threshold processing to obtain the high-frequency component of the frame current digital signal.
In the above embodiment, a mode is provided in which after the high-frequency wavelet coefficient is obtained, the high-frequency wavelet coefficient is first subjected to denoising processing, so that noise interference contained in the current signal can be effectively removed, and thus the accuracy of fault arc detection is improved.
Meanwhile, in the noise removal scheme, an improved threshold processing function is provided, and according to the characteristics of noise and fault arc, noise is removed, meanwhile, the traditional threshold function is prevented from adopting a 'one-knife-cut' processing mode for a small coefficient, and the characteristic information of the fault arc is kept to the maximum extent; the accuracy of fault arc detection is indirectly improved.
In one embodiment, the calculating the first detection parameter of the fault arc according to the high frequency component of the frame current digital signal in the fault arc detection unit 21 includes:
acquiring a high-frequency component G (t) of a current digital signal of a current frame;
calculating a first detection parameter of the frame current digital signal, wherein the calculation function of the first detection parameter is as follows:
Figure BDA0002588568070000064
in the formula, C1(t) a first detection parameter, x, representing the current digital signal of the t-th framet(n) represents the magnitude of the nth sample point in the high frequency component of the current digital signal of the t-th frame,
Figure BDA0002588568070000065
represents the average value of the amplitudes of the sampling points in the high-frequency component of the current digital signal of the t-th frame, and delta (n) represents the weight adjustment factor of the nth sampling point, wherein
Figure BDA0002588568070000071
Gamma represents the set frame-edge adjustment factor, where gamma e (0, 0.28)]N represents the number of sampling points in the single-frame current digital signal;
first detection parameter C to be obtained1(t) and set threshold
Figure BDA0002588568070000072
Making a comparison when
Figure BDA0002588568070000073
And marking the current digital signal of the t-th frame as a suspected arc fault signal.
In the above embodiment, a method for initially determining an arc fault according to the high-frequency component is provided, which reflects the fluctuation degree of the high-frequency component based on the variance of the high-frequency component of the current signal; and further considering the situation that the sampling points of the frame head and the frame tail are easy to distort after the high-frequency component is reconstructed due to the fact that the framing processing situation is considered, an improved weight adjusting factor is provided for optimizing the first detection component function, the optimized first detection parameter can accurately reflect the fluctuation characteristic of the high-frequency component of the current signal, and therefore preliminary judgment is conducted on whether the current signal has the arc fault or not.
In one embodiment, in the fault arc detection unit 21, when it is detected that the t-th frame current digital signal D (t) is a suspected arc fault signal, the next B frame current digital signal D (t +1) of the frame current digital signal is further acquired;
respectively acquiring high-frequency components G (t + B) of a current digital signal D (t + B) of a later B frame, wherein B is 1, 2.
Calculating a second detection parameter according to the obtained high-frequency component G (t + b), wherein the adopted second detection parameter obtaining function is as follows:
Figure BDA0002588568070000074
in the formula, C2(t + b) a second detection parameter, C, representing the t + b frame current digital signal1(t + b) and C1(t) first detection parameters, x, representing the current digital signals of the t + b th frame and the t th frame, respectivelyt+b(n) represents the magnitude of the nth sample point of the high frequency component of the t + b th frame current digital signal,
Figure BDA0002588568070000076
the average value of the amplitude values of all sampling points in the high-frequency component of the current digital signal of the t-th frame is represented, N represents the number of the sampling points in the single-frame current digital signal, and mu represents a set weight adjusting factor;
judging whether an arc fault is generated according to the acquired second detection parameters, wherein if the current digital signals D (t +1),. once, D (t + B),. once, D (t + B) of the next B frame are in the current digital signals D (t +1), D (t + B), D (t + B), the second detection parameters acquired by each frame are all larger than a set threshold value
Figure BDA0002588568070000075
Judging that an arc fault is generated, generating a control instruction and sending the control instruction to the execution module 3, so that the execution module 3 cuts off a power supply line of the storage battery of the electric vehicle; otherwise, continuing to detect whether the arc fault is generated based on the latest one of the current digital signal frames of the subsequent B frame which is marked as the suspected arc fault signal.
Preferably, B.epsilon.1, 3.
In other words, in one scenario, taking the frame length of each frame of current signal as an example of 20ms, in the above embodiment, when it is initially detected that an arc fault exists in a certain frame of current digital signal, it further detects the following 1-3 frames of signals, and performs comprehensive judgment by integrally combining signals collected within continuous 40ms-80ms, so as to accurately reflect the characteristics of fault arc information contained in the current signal. The reliability of arc fault detection is improved.
In the embodiment, when it is preliminarily determined that an arc fault exists in a certain frame of current digital signal, a plurality of frames of current digital signals after the certain frame of current digital signal are further detected, wherein the adopted second detection parameter determination function takes the frame of current digital signal which is preliminarily determined that the arc fault exists as a comparison basis, and when the same fault arc characteristics exist in subsequent frames of current digital signals, the generation of the arc fault is determined, so that the false detection condition caused by external noise interference can be effectively avoided, and the accuracy of fault arc detection is further improved.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be analyzed by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (5)

1. An electric vehicle control system, comprising: the device comprises a signal input module, a processing module and an execution module; wherein,
the signal input module is used for inputting one or more of real-time crank signals, brake crank signals, anti-theft signals and vehicle speed detection signals to the processing module;
the processing module is used for processing the received signals and sending corresponding control instructions to the execution module;
the execution module is used for controlling a motor driver of the electric vehicle to drive a motor to output corresponding driving force or reverse driving force according to the received control instruction;
wherein the signal input module further comprises: the current sampling unit is connected with the electric vehicle and used for acquiring a current signal output by the electric vehicle storage battery when the electric vehicle storage battery works;
the processing module carries out arc detection according to the acquired current signal, generates a corresponding control instruction when detecting that a direct current arc fault occurs, and cuts off a power supply line of the storage battery of the electric vehicle by the execution module;
the current sampling unit comprises a current transformer, and current signals output by the storage battery of the electric vehicle are collected through the current transformer;
the signal input module comprises a current signal processing unit;
the current signal processing unit is used for amplifying, filtering and AD converting a current signal acquired by the current transformer, converting the acquired current signal into a current digital signal and inputting the current digital signal into the processing module;
the processing module comprises a fault arc detection unit;
the fault arc detection unit is used for detecting fault arc by the acquired current signal, and comprises:
1) performing frame windowing processing on the acquired current digital signal by adopting a window with a set length;
2) respectively performing wavelet decomposition on the single-frame current digital signals aiming at the single-frame current digital signals to obtain high-frequency wavelet coefficients and low-frequency wavelet coefficients of the single-frame current digital signals;
reconstructing according to the obtained high-frequency wavelet coefficient to obtain the high-frequency component of the frame current digital signal;
calculating a first detection parameter of the fault arc according to the high-frequency component of the frame current digital signal, judging according to the obtained first detection parameter, and judging whether the fault arc is a suspected arc fault signal;
3) when a certain frame of current digital signal is judged to be a suspected arc fault signal, further acquiring a next B frame of current digital signal of the frame of current digital signal, and further judging whether an arc fault occurs according to a second detection parameter of a high-frequency component of the next B frame of current digital signal and the acquired second detection parameter;
4) when the occurrence of the arc fault is detected, generating a control command and sending the control command to an execution module so as to enable the execution module to cut off a power supply line of a storage battery of the electric vehicle;
wherein, in the fault arc detection unit, calculating a first detection parameter of the fault arc according to the high-frequency component of the frame current digital signal, and the method comprises the following steps:
acquiring a high-frequency component G (t) of a current digital signal of a current frame;
calculating a first detection parameter of the frame current digital signal, wherein the calculation function of the first detection parameter is as follows:
Figure FDA0002907351740000021
in the formula, C1(t) a first detection parameter, x, representing the current digital signal of the t-th framet(n) represents the magnitude of the nth sample point in the high frequency component of the current digital signal of the t-th frame,
Figure FDA0002907351740000028
represents the average value of the amplitudes of the sampling points in the high-frequency component of the current digital signal of the t-th frame, and delta (n) represents the weight adjustment factor of the nth sampling point, wherein
Figure FDA0002907351740000022
Gamma represents the set frame-edge adjustment factor, where gamma e (0, 0.28)]N represents the number of sampling points in the single-frame current digital signal;
first detection parameter C to be obtained1(t) and set threshold
Figure FDA0002907351740000023
Making a comparison when
Figure FDA0002907351740000024
Marking the current digital signal of the t frame as a suspected arc fault signal;
in the fault arc detection unit, when the t-th frame current digital signal D (t) is detected to be a suspected arc fault signal, a next B frame current digital signal D (t +1), D (t + B), D.
Respectively acquiring high-frequency components G (t + B) of a current digital signal D (t + B) of a later B frame, wherein B is 1, 2.
Calculating a second detection parameter according to the obtained high-frequency component G (t + b), wherein the adopted second detection parameter obtaining function is as follows:
Figure FDA0002907351740000025
in the formula, C2(t + b) a second detection parameter, C, representing the t + b frame current digital signal1(t + b) and C1(t) first detection parameters, x, representing the current digital signals of the t + b th frame and the t th frame, respectivelyt+b(n) represents the magnitude of the nth sample point of the high frequency component of the t + b th frame current digital signal,
Figure FDA0002907351740000026
the average value of the amplitude values of all sampling points in the high-frequency component of the current digital signal of the t-th frame is represented, N represents the number of the sampling points in the single-frame current digital signal, and mu represents a set weight adjusting factor;
judging whether an arc fault is generated according to the acquired second detection parameters, wherein if the current digital signals D (t +1),. once, D (t + B),. once, D (t + B) of the next B frame are in the current digital signals D (t +1), D (t + B), D (t + B), the second detection parameters acquired by each frame are all larger than a set threshold value
Figure FDA0002907351740000027
Judging that the electric arc fault is generated, generating a control instruction and sending the control instruction to an execution module so that the execution module cuts off a power supply line of the storage battery of the electric vehicle; otherwise, continuing to detect whether the arc fault is generated based on the latest one of the current digital signal frames of the subsequent B frame which is marked as the suspected arc fault signal.
2. The electric vehicle control system according to claim 1, wherein the signal input module is connected with a rotating handle sampling circuit of the electric vehicle to obtain a rotating handle voltage signal;
the processing module calculates corresponding motor driving force output according to the handle rotating voltage signal and generates a corresponding control instruction so as to control a motor driver of the electric vehicle to control the motor to drive the corresponding driving force.
3. The electric vehicle control system according to claim 1, wherein the signal input module is connected with a brake sampling circuit of the electric vehicle to obtain a brake signal;
the processing module detects the acquired brake signal, and when the brake signal is detected to be a low level signal, the processing module calculates corresponding motor reverse driving force output according to the current speed of the electric vehicle and generates a corresponding control instruction.
4. The electric vehicle control system according to claim 1, wherein the signal input module is connected to an anti-theft signal generation circuit of the electric vehicle to obtain an anti-theft signal;
the processing module detects the acquired anti-theft signal, and when the anti-theft signal is detected to be a low level signal, the processing module calculates corresponding motor reverse driving force output according to the current speed of the electric vehicle and generates a corresponding control instruction so as to control a motor driver of the electric vehicle to output the reverse driving force to achieve the effect of locking the motor.
5. The electric vehicle control system according to claim 1, wherein the signal input module is connected with a vehicle speed detection unit of the electric vehicle to obtain a real-time vehicle speed detection signal of the electric vehicle;
the processing module detects the acquired speed detection signal, and generates a corresponding control instruction when the speed of the electric vehicle is greater than a set limit speed so as to control the motor controller to control the motor to reduce the output of the driving force and control the electric vehicle to reduce the speed to the limit speed.
CN202010688742.3A 2020-07-16 2020-07-16 Electric vehicle control system Active CN111791720B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010688742.3A CN111791720B (en) 2020-07-16 2020-07-16 Electric vehicle control system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010688742.3A CN111791720B (en) 2020-07-16 2020-07-16 Electric vehicle control system

Publications (2)

Publication Number Publication Date
CN111791720A CN111791720A (en) 2020-10-20
CN111791720B true CN111791720B (en) 2021-05-14

Family

ID=72807549

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010688742.3A Active CN111791720B (en) 2020-07-16 2020-07-16 Electric vehicle control system

Country Status (1)

Country Link
CN (1) CN111791720B (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112622618A (en) * 2020-12-22 2021-04-09 上海钧正网络科技有限公司 Electric vehicle speed limiting device, method, electric vehicle and computer readable storage medium
CN112706863B (en) * 2021-01-07 2022-05-27 上海钧正网络科技有限公司 Handle turning abnormality detection method, device and equipment
CN113078026B (en) * 2021-04-16 2022-09-16 上海宏英智能科技股份有限公司 Relay port detection circuit
CN114435144A (en) * 2022-01-14 2022-05-06 深圳拓邦股份有限公司 Electric vehicle braking method and device and electric vehicle
CN116080584A (en) * 2023-02-10 2023-05-09 杭州正芯微电子有限公司 Automatic induction starting system without physical button

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002264860A (en) * 2001-03-07 2002-09-18 Matsushita Electric Ind Co Ltd Vehicle with electric power unit
CN102343824A (en) * 2010-07-30 2012-02-08 北汽福田汽车股份有限公司 Regenerative braking control method of electric car and device thereof
CN103018632A (en) * 2012-12-10 2013-04-03 江苏大学 Small current grounding system single-phase ground fault line selection method based on fisher information
CN204641428U (en) * 2015-06-03 2015-09-16 南京大陆鸽高科技股份有限公司 For the Intelligent brushless motor controller of battery-driven car
CN205826007U (en) * 2016-05-12 2016-12-21 长江大学 A kind of electric bicycle controller
CN107234969A (en) * 2016-03-29 2017-10-10 比亚迪股份有限公司 Electric automobile and its high pressure protector
CN109541418A (en) * 2019-01-17 2019-03-29 北京腾锐视讯科技有限公司 A kind of fault electric arc detection sensor and fault arc detection method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002264860A (en) * 2001-03-07 2002-09-18 Matsushita Electric Ind Co Ltd Vehicle with electric power unit
CN102343824A (en) * 2010-07-30 2012-02-08 北汽福田汽车股份有限公司 Regenerative braking control method of electric car and device thereof
CN103018632A (en) * 2012-12-10 2013-04-03 江苏大学 Small current grounding system single-phase ground fault line selection method based on fisher information
CN204641428U (en) * 2015-06-03 2015-09-16 南京大陆鸽高科技股份有限公司 For the Intelligent brushless motor controller of battery-driven car
CN107234969A (en) * 2016-03-29 2017-10-10 比亚迪股份有限公司 Electric automobile and its high pressure protector
CN205826007U (en) * 2016-05-12 2016-12-21 长江大学 A kind of electric bicycle controller
CN109541418A (en) * 2019-01-17 2019-03-29 北京腾锐视讯科技有限公司 A kind of fault electric arc detection sensor and fault arc detection method

Also Published As

Publication number Publication date
CN111791720A (en) 2020-10-20

Similar Documents

Publication Publication Date Title
CN111791720B (en) Electric vehicle control system
CN103558029B (en) A kind of engine abnormal noise on-line fault diagnosis system and diagnostic method
US10817001B2 (en) Unmanned aerial vehicle and method for detecting flight state thereof, and wearable device
EP3671743A1 (en) Voice activity detection method
CN103674234B (en) State early warning method and system for abnormal vibration of wind generating set
CN103568998A (en) Device and method for controlling quality of sounds generated during vehicle door closing
CN104866099A (en) Error compensation method for improving gesture identification precision of intelligent device based on motion sensor
CN112897262A (en) Elevator running state evaluation system and method based on sound feature extraction
CN117315941A (en) Vehicle risk management early warning system based on artificial intelligence
CN116517860A (en) Ventilator fault early warning system based on data analysis
CN111598039A (en) Abnormal sound monitoring method and monitoring device for petroleum pipeline monitoring
CN109236587A (en) It is a kind of for detecting the alarm system of wind-driven generator abnormal work
CN113644848A (en) Permanent magnet synchronous motor position sensorless control method based on segmentation threshold
Pan et al. Cognitive acoustic analytics service for Internet of Things
CN111169332B (en) Anti-pinch control method for electric automobile seat
CN118478937A (en) Road feel feedback method and device based on steer-by-wire
CN117719361B (en) New energy semitrailer driving control method and system
CN117192363A (en) Permanent magnet synchronous traction motor fault diagnosis method based on transfer learning
CN113033396B (en) Variable frequency pipeline ball passing indication device based on feature fusion and ball passing detection method
CN110459034B (en) Fatigue driving early warning method and system
AU2014203462A1 (en) Estimating Wheel Speed for In-wheel Electric Vehicles
CN109958585B (en) Overspeed protection method of wind generating set based on wind wheel rotation speed detection
CN109426177A (en) A kind of train active denoising method and device
CN113343887A (en) Multi-sensor mixed fault signal blind separation method based on edge calculation and machine learning
CN113499081A (en) Method and system for detecting atrial fibrillation of driver based on two-channel deep neural network

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
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20220208

Address after: No.3, Gongye West Road, Songshanhu high tech Industrial Development Zone, Dongguan City, Guangdong Province

Patentee after: SHENZHEN GOBAO ELECTRONIC TECHNOLOGY Co.,Ltd.

Address before: No.3, Gongye West Road, Songshanhu high tech Industrial Development Zone, Dongguan, Guangdong 523000

Patentee before: DONGGUAN GAOBIAO SOFTWARE TECHNOLOGY CO.,LTD.

CP03 Change of name, title or address
CP03 Change of name, title or address

Address after: No. 3 Gongye West Road, Songshan Lake Park, Dongguan City, Guangdong Province, 523000

Patentee after: Guangdong Gaobiao Intelligent Technology Co.,Ltd.

Address before: No.3, Gongye West Road, Songshanhu high tech Industrial Development Zone, Dongguan City, Guangdong Province

Patentee before: SHENZHEN GOBAO ELECTRONIC TECHNOLOGY Co.,Ltd.