CN113246738A

CN113246738A - Braking type energy recovery system of electric automobile

Info

Publication number: CN113246738A
Application number: CN202110646430.0A
Authority: CN
Inventors: 陈阔; 崔臻; 耿强; 孔维强; 陶广华; 朱福雄; 杜克虎; 王远东; 沈玉平; 蒋剑
Original assignee: Hemei Zhejiang Automobile Co ltd
Current assignee: Hemei Zhejiang Automobile Co ltd
Priority date: 2021-06-10
Filing date: 2021-06-10
Publication date: 2021-08-13

Abstract

The invention discloses a braking type energy recovery system of an electric vehicle, belongs to the field of new energy vehicles, relates to an energy recovery technology, and solves the problem of battery performance reduction caused by energy recovery by randomly selecting batteries through battery tracking analysis of the electric vehicle, selecting an energy recovery receiving battery and a recovery refusing receiving battery, meanwhile, generating different strategies such as primary recovery, secondary recovery and tertiary recovery through a braking distance, dynamically charging a power battery, and solving the problem of performance reduction of an electric vehicle battery pack caused by randomly charging the battery pack in the prior art.

Description

Braking type energy recovery system of electric automobile

Technical Field

The invention belongs to the field of new energy automobiles, relates to an energy recovery technology, and particularly relates to a braking type energy recovery system of an electric automobile.

Background

The electric automobile has the advantages of low energy consumption, no pollution, small occupied space and the like, so that the popularity of the electric automobile is higher and higher, but the electric automobile also has the defect of short driving distance caused by the limitation of the electric quantity of the storage battery, and the problem to be solved is to prolong the driving distance as far as possible. At present, the electric automobile generally adopts a method of combining the recovery of braking energy into electric energy and the recovery of sliding energy into electric energy, but when the automobile is in a state of slow driving caused by reasons such as traffic jam, the recovery of braking energy is almost meaningless, but the equipment is lost in vain, and how to select a proper power battery as an energy receiving battery becomes an urgent problem to be solved.

Disclosure of Invention

The invention aims to provide a braking type energy recovery system of an electric automobile, which is used for solving the problems.

The purpose of the invention can be realized by the following technical scheme:

an electric vehicle braking energy recovery system comprising:

the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring running data of the electric automobile and acquiring the type of the electric automobile through a recognition model, and the type of the electric automobile comprises a first type, a second type and a third type;

if the type of the electric automobile is a first type and a second type, carrying out battery tracking analysis on the electric automobile;

if the type of the electric automobile is the third type, energy recovery is not carried out;

the dynamic module is arranged to generate an energy recovery instruction according to the residual electric quantity of the electric automobile;

the execution module is set to establish data connection with the VCU, the MCU and the BMS and execute an energy recovery instruction;

the battery tracking analysis of the electric automobile is specifically that a voltage sensor and a current sensor are connected in series on each power battery, wherein the voltage sensor is used for measuring the voltage of the power battery connected in series with the voltage sensor, and the current sensor is used for measuring the current of the power battery connected in series with the current sensor;

arranging the power batteries according to the monitoring numerical value of the voltage sensor from large to small, and selecting a voltage mode as a current tracking standard voltage;

if the voltage of the power battery is smaller than the tracking standard voltage, marking as an energy recovery receiving battery;

and if the voltage of the power battery is greater than the tracking standard voltage, marking that the receiving battery is rejected to be recycled.

Further, before generating the energy recovery command according to the remaining electric quantity of the electric vehicle, the method further comprises:

establishing an energy recovery model, wherein the energy recovery model comprises ABS detection nodes, electric quantity monitoring nodes and strategy generation nodes;

the electric quantity monitoring node is used for monitoring the residual electric quantity of the electric automobile in real time;

the ABS detection node is used for monitoring the working condition of the ABS, and if the ABS works normally, the strategy generation node generates a recovery strategy; if the ABS works abnormally, the strategy generation node stops generating the recovery strategy;

the strategy generation node is used for acquiring the residual electric quantity of the electric automobile and generating a strategy according to the residual electric quantity, wherein the strategy comprises primary recovery, secondary recovery and tertiary recovery.

Further, before the policy generation according to the remaining power, the method further includes:

obtaining the braking length, and judging the braking recovery energy through a braking model;

if the braking recovery energy is greater than the supplementary energy and the residual electric quantity is less than 50%, generating a first-level recovery strategy;

if the braking recovery energy is greater than the supplementary energy and the residual electric quantity is greater than 95%, generating a three-level recovery strategy;

if the braking recovery energy is larger than the supplementary energy and the residual electric quantity is larger than 50% and smaller than 95%, generating a secondary recovery strategy;

if the braking recovery energy is less than the supplementary energy and the residual electric quantity is less than 50%, generating a three-level recovery strategy;

if the braking recovery energy is less than the supplementary energy and the residual electric quantity is more than 95%, the energy recovery is not carried out;

and if the braking recovery energy is less than the supplementary energy and the residual capacity is more than 50% and less than 95%, generating a secondary recovery strategy.

Further, the supplementary energy is the energy required by the energy recovery receiving battery voltage to be supplemented to the tracking standard voltage.

Further, the primary recovery strategy is specifically that energy recovery is performed on the energy recovery receiving batteries, and when the voltage of all the energy recovery receiving batteries is the same as the tracking standard voltage, energy recovery is performed on each power battery until braking is completed;

the secondary recovery strategy specifically comprises that energy recovery is carried out on the energy recovery receiving batteries, and when the voltage of all the energy recovery receiving batteries is the same as the tracking standard voltage, high-quality batteries are selected for energy recovery until braking is finished;

the three-level recovery strategy specifically includes that the energy recovery receiving battery firstly performs energy recovery, and when the voltage of all the energy recovery receiving batteries is the same as the tracking standard voltage, the energy recovery is stopped.

Further, before selecting a high-quality battery for energy recovery, the method further comprises:

acquiring the charging times and the discharging times of the power battery, and acquiring an electric energy coefficient according to the ratio of the charging times to the discharging times;

and the power battery with the electric energy coefficient equal to 1 is a high-quality battery.

Further, the braking model includes:

the braking area and the braking distance of the electric automobile are obtained, and the braking distance is converted into braking recovery energy through a speed energy conversion formula.

Further, still include before obtaining electric automobile brake area:

the method comprises the steps of obtaining a plurality of sections of driving videos of the electric automobile during braking, obtaining a first area through marking, and inputting the plurality of sections of driving videos of the electric automobile during braking and the first area into a neural network algorithm for deep learning to obtain a braking area identification model.

Further, the speed energy conversion formula is as follows:

。

compared with the prior art, the invention has the beneficial effects that:

through carrying out battery tracking analysis to electric automobile, select to obtain energy recuperation and receive the battery and refuse to retrieve and receive the battery, solved prior art random selection battery and carried out the problem that the battery performance that energy recuperation caused descends, simultaneously, through different strategies such as braking distance generation one-level is retrieved, second grade is retrieved and tertiary recovery, and dynamic charges power battery, has solved prior art and has leaded to the problem that electric motor car group battery performance descends because of charging the group battery at random.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic block diagram of the present invention.

Detailed Description

The embodiments of the present invention will be described below with reference to the drawings.

The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

Traditionally, electric vehicles have the advantages of low energy consumption, no pollution, small occupied space and the like, so that the popularity of the electric vehicles is higher and higher, but the electric vehicles also have the defect of short driving distance caused by the limitation of the electric quantity of a storage battery, and the problem of needing to be solved is to prolong the driving distance as much as possible. At present, an electric automobile generally adopts a method combining the recovery of braking energy into electric energy and the recovery of sliding energy into electric energy, but when the automobile is in a state of slow driving caused by reasons such as traffic jam and the like, the recovery of braking energy is almost meaningless, but the equipment is lost in vain, so that how to select a proper power battery as an energy receiving battery becomes an urgent problem to be solved;

to the above technical problem, the present application provides an electric automobile braking formula energy recuperation system, includes:

Based on the above description, an embodiment of the present invention provides a braking energy recovery system for an electric vehicle as shown in fig. 1, including:

the acquisition module is used for acquiring the running data of the electric automobile and acquiring the type of the electric automobile through the recognition model, wherein the type of the electric automobile comprises a first type, a second type and a third type;

if the type of the electric automobile is the first type and the second type, carrying out battery tracking analysis on the electric automobile;

performing battery tracking analysis on the electric automobile, specifically, connecting a voltage sensor and a current sensor in series on each power battery, wherein the voltage sensor is used for measuring the voltage of the power battery connected in series with the voltage sensor, and the current sensor is used for measuring the current of the power battery connected in series with the current sensor;

The method also comprises the following steps before generating an energy recovery command according to the residual electric quantity of the electric automobile:

the strategy generation node is used for obtaining the residual electric quantity of the electric automobile and carrying out strategy generation according to the residual electric quantity, wherein the strategy comprises primary recovery, secondary recovery and tertiary recovery.

And before strategy generation according to the residual electric quantity, the method also comprises the following steps:

The supplementary energy is the energy required by the energy recovery receiving battery voltage to supplement the tracking standard voltage.

The primary recovery strategy is specifically that energy recovery is carried out on the energy recovery receiving batteries firstly, and when the voltage of all the energy recovery receiving batteries is the same as the tracking standard voltage, energy recovery is carried out on each power battery until braking is finished;

a secondary recovery strategy, specifically, energy recovery is carried out on the energy recovery receiving batteries, and when the voltage of all the energy recovery receiving batteries is the same as the tracking standard voltage, high-quality batteries are selected for energy recovery until braking is finished;

and a three-stage recovery strategy, specifically, the energy recovery receiving battery firstly performs energy recovery, and when the voltage of all the energy recovery receiving batteries is the same as the tracking standard voltage, the energy recovery is stopped.

Before selecting high-quality battery to carry out energy recuperation still include:

the power battery with the electric energy coefficient equal to 1 is a high-quality battery.

The braking model includes:

Still include before acquireing electric automobile brake area:

The speed energy conversion formula is as follows:

。

the present disclosure is described in detail with reference to specific embodiments;

embodiment 1, the present embodiment takes a pure electric vehicle as an example;

the method comprises the steps that an acquisition module is arranged in the electric automobile, operation data of the electric automobile are acquired, and the type of the electric automobile is obtained through a recognition model, wherein the type of the electric automobile comprises a first type, a second type and a third type;

specifically, the electric vehicle operation data includes, but is not limited to, remaining power, driving information and vehicle model information, and the vehicle model information is classified through the recognition model to obtain the type of the electric vehicle;

exemplarily, the identification model is a search database, and classification information corresponding to the vehicle model information is stored in the search database; the classification information comprises a first class, a second class and a third class;

the first type is a pure electric vehicle, the second type is a medium-hybrid vehicle, and the third type is a weak-hybrid vehicle; the weak mixed type automobile only provides power for the motor, necessary power for the engine is provided during starting and accelerating, the load of the engine is reduced, power and accelerating performance are improved, and the medium mixed type automobile not only can provide power for the motor, but also can independently drive the automobile to run for a certain distance at a certain speed; the pure electric automobile provides power for the electric motor to drive the automobile to run in the whole course.

in the embodiment, a pure electric vehicle is taken as an example, so that the type of the electric vehicle is the first type, the battery tracking analysis is performed on the electric vehicle;

The dynamic module is configured to generate an energy recovery instruction according to the residual electric quantity of the electric vehicle, and specifically, an energy recovery model is established and comprises an ABS detection node, an electric quantity monitoring node and a strategy generation node;

illustratively, the electric quantity monitoring node is used for monitoring the residual electric quantity of the electric automobile in real time;

and the ABS detection node is used for monitoring the working condition of the ABS.

If the ABS works normally, the strategy generation node generates a recovery strategy;

if the ABS works abnormally, the strategy generation node stops generating the recovery strategy;

illustratively, the strategy generation node is used for acquiring the residual electric quantity of the electric vehicle and generating a strategy according to the residual electric quantity, wherein the strategy comprises primary recovery, secondary recovery and tertiary recovery;

wherein, the above strategies are specifically:

for example, a braking model obtains a braking area and a braking distance of the electric automobile;

wherein, the braking region specifically is:

the method comprises the steps of obtaining a plurality of sections of driving videos of the electric automobile during braking, obtaining a first area through marking, and inputting the plurality of sections of driving videos of the electric automobile during braking and the first area into a neural network algorithm for deep learning to obtain a brake area identification model;

and analyzing the driving video in real time through the brake area identification model, and further dynamically identifying the brake area.

Wherein, the braking distance specifically is:

and selecting the braking distance subdata with the same time of braking data in the ECU and the driving video during braking as the braking distance, and corresponding the braking distance to the braking area corresponding to the driving video during braking.

Converting the braking distance into braking recovery energy through a speed energy conversion formula, wherein the speed energy conversion formula is

In the formula, n is the motor power of the electric automobile, k is the speed before braking, and a is the braking distance.

the first-level recovery strategy is characterized in that energy recovery is firstly carried out on the energy recovery receiving batteries, and when the voltage of all the energy recovery receiving batteries is the same as the tracking standard voltage, energy recovery is carried out on each power battery until braking is finished;

for example, the three-level recovery strategy is that energy recovery is performed on the energy recovery receiving cells first, and when the voltage of all the energy recovery receiving cells is the same as the tracking standard voltage, the energy recovery is stopped;

in an exemplary secondary recovery strategy, energy recovery is carried out on the energy recovery receiving batteries, and when the voltage of all the energy recovery receiving batteries is the same as the tracking standard voltage, high-quality batteries are selected for energy recovery until braking is finished;

Through the system, dynamic charging of the power battery can be realized, and the problem of performance reduction of the battery pack of the electric vehicle caused by random charging of the battery pack in the prior art is solved.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the above-described division of units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. An electric vehicle braking energy recovery system, comprising:

2. The braking energy recovery system of claim 1, wherein the energy recovery command generated according to the remaining electric quantity of the electric vehicle further comprises:

3. The braking energy recovery system of claim 2, wherein the strategy generation according to the remaining capacity further comprises:

4. The braking energy recovery system of claim 3, wherein the supplementary energy is the energy required by the energy recovery receiving battery voltage to track the standard voltage.

5. The braking energy recovery system of claim 3, wherein the primary recovery strategy is that the energy recovery receiving batteries firstly recover energy, and when the voltages of all the energy recovery receiving batteries are the same as the tracking standard voltage, each power battery recovers energy until braking is completed;

6. The braking energy recovery system of claim 5, wherein before the energy recovery from the selected high-quality battery, the braking energy recovery system further comprises:

7. The braking energy recovery system of claim 3, wherein the braking model comprises:

8. The braking energy recovery system of claim 7, further comprising before acquiring the braking area of the electric vehicle:

9. The braking energy recovery system of claim 7, wherein the speed energy conversion formula is:

。