Electric vehicle assisted driving methods, devices, equipment and storage media

Abstract

This invention discloses a method, device, equipment, and storage medium for assisted driving of electric vehicles, relating to the field of electric vehicles. The method includes acquiring planned path information; acquiring real-time path information during the electric vehicle's operation; obtaining a driving path deviation based on the planned path information and the real-time path information; and executing a preset action based on the real-time path information and preset rules when the driving path deviation is less than a first threshold. This invention solves the problem of high difficulty in driving electric vehicles and provides assisted driving functions for drivers.

Description

Technical Field

[0001] This invention relates to the field of electric vehicle technology, and in particular to an electric vehicle assisted driving method, device, equipment, and storage medium. Background Technology

[0002] Driven by policies such as energy conservation, emission reduction, and carbon peaking, and by the large population and diverse green travel demands, the number of electric vehicles is increasing day by day.

[0003] In existing technologies, the operation of electric vehicles relies solely on the driver's manual control. The driver not only needs to pay attention to road conditions but also needs to divert their attention to operations such as braking, using turn signals, and accelerating, resulting in the difficulty of driving electric vehicles. Summary of the Invention

[0004] The main objective of this invention is to provide an electric vehicle assisted driving method, device, equipment, and storage medium, aiming to solve the technical problem of the high difficulty of driving electric vehicles in the prior art.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] In a first aspect, the present invention provides a method for assisted driving of an electric vehicle, the method comprising:

[0007] Obtain the planned route information;

[0008] Obtain real-time route information while the electric vehicle is in motion;

[0009] Based on the planned path information and the real-time path information, the deviation of the driving path is obtained;

[0010] When the deviation of the driving path is less than the first threshold, a preset action is executed according to the real-time path information and preset rules.

[0011] Optionally, in the above-mentioned electric vehicle assisted driving method, the step of obtaining the planned path information includes:

[0012] Obtain initial path information;

[0013] During the operation of the electric vehicle, the first trajectory information of the electric vehicle is acquired;

[0014] Based on the initial path information and the first trajectory information, the first planned path deviation is obtained;

[0015] When the deviation of the first planned path is less than the second threshold, the initial path information is determined to be the planned path information.

[0016] Optionally, in the above-mentioned electric vehicle assisted driving method, the step of obtaining the planned path information includes:

[0017] Obtain second trajectory information for at least three identical trips;

[0018] The deviation of the second planned path is obtained based on the second trajectory information from at least three identical trips;

[0019] When the deviation of the second planned path is less than the third threshold, the second trajectory information is determined to be the planned path information.

[0020] Optionally, in the above-mentioned electric vehicle assisted driving method, the real-time traffic information includes real-time trajectory information and first identification information, and the planned path information further includes second identification information;

[0021] The step of obtaining the driving path deviation based on the planned path information and the real-time path information includes:

[0022] Based on the real-time trajectory information and the planned path information, the first driving path deviation is obtained;

[0023] The second driving path deviation is obtained based on the first identification information and the second identification information;

[0024] The step of executing a preset action based on real-time path information and preset rules when the deviation of the driving path is less than a first threshold includes:

[0025] When the deviation of the first driving path is less than the fourth threshold and the deviation of the second driving path is less than the fifth threshold, a preset action is executed according to the real-time path information and preset rules.

[0026] Optionally, in the above-mentioned electric vehicle assisted driving method, the real-time path information includes path reversal information;

[0027] The step of executing a preset action based on real-time path information and preset rules when the deviation of the driving path is less than a first threshold includes:

[0028] When the deviation of the driving path is less than the first threshold and the electric vehicle needs to change direction, the corresponding turn signal of the electric vehicle is turned on.

[0029] Optionally, in the above-mentioned electric vehicle assisted driving method, the real-time path information includes road condition information;

[0030] The step of executing a preset action based on real-time path information and preset rules when the deviation of the driving path is less than a first threshold includes:

[0031] When the deviation of the driving path is less than the first threshold and the road conditions are abnormal, adjust the output power of the motor or start / stop it.

[0032] In a second aspect, the present invention provides an electric vehicle driver assistance device, the device comprising:

[0033] The route planning information acquisition module is used to acquire route planning information;

[0034] The real-time route information acquisition module is used to acquire real-time route information during the electric vehicle's operation.

[0035] The driving path deviation calculation module is used to obtain the driving path deviation based on the planned path information and the real-time path information;

[0036] The driver assistance module is used to perform preset actions based on real-time path information and preset rules when the deviation of the driving path is less than a first threshold.

[0037] Thirdly, the present invention provides an electric vehicle assisted driving device, the electric vehicle assisted driving device including a processor and a memory, the memory storing an assisted driving program, and when the assisted driving program is executed by the processor, the electric vehicle assisted driving method described above is implemented.

[0038] Fourthly, the present invention provides a computer-readable storage medium storing a computer program that, when executed by one or more processors, implements the electric vehicle assisted driving method described above.

[0039] The above-described one or more technical solutions provided by this invention can have the following advantages or at least achieve the following technical effects:

[0040] This invention proposes an electric vehicle assisted driving method, device, equipment, and storage medium. By acquiring planned path information as reference information, and calculating based on real-time path information and planned information acquired during the electric vehicle's operation, the deviation of the driving path is obtained, and it is determined whether the electric vehicle is driving according to the planned path. When the electric vehicle is driving according to the planned path, preset actions are executed according to real-time path information and preset rules to provide assisted driving functions for the driver and reduce the difficulty of driving the electric vehicle. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1This is a flowchart illustrating the first embodiment of the electric vehicle assisted driving method of the present invention;

[0043] Figure 2 This is a schematic diagram of the hardware structure of the electric vehicle driver assistance device involved in the present invention;

[0044] Figure 3 This is a functional module diagram of the first embodiment of the electric vehicle driver assistance device of the present invention.

[0045] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0047] It should be noted that in this invention, the terms "comprising," "including," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element. In this invention, descriptions involving "first," "second," etc., are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of those features. In this invention, the use of suffixes such as "module," "component," or "unit" to denote elements is merely for illustrative purposes and has no specific meaning in itself. Therefore, "module," "component," or "unit" can be used interchangeably. Those skilled in the art will understand the specific meaning of the above terms in this invention according to the specific circumstances. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this is based on the fact that those skilled in the art can implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0048] Analysis of existing technologies reveals that electric vehicles, as a medium-to-short distance mode of transportation, have the advantages of being convenient to use and cost-effective. Most users typically use electric vehicles for commuting to work, with relatively fixed routes. However, even if the driver is familiar with the driving route, they still need to spend their attention on operation and observing road conditions, which presents a problem of high driving difficulty.

[0049] In view of the technical problem of high difficulty in driving electric vehicles in the prior art, the present invention provides a method for assisted driving of electric vehicles, the overall idea of ​​which is as follows:

[0050] Obtain the planned route information;

[0051] Obtain real-time route information while the electric vehicle is in motion;

[0052] Based on the planned path information and the real-time path information, the deviation of the driving path is obtained;

[0053] When the deviation of the driving path is less than the first threshold, a preset action is executed according to the real-time path information and preset rules.

[0054] The above technical solution obtains the planned path information as reference information, calculates the deviation of the driving path based on the real-time path information and planned information obtained during the electric vehicle's operation, and determines whether the electric vehicle is driving according to the planned path. When the electric vehicle is driving according to the planned path, it executes preset actions based on the real-time path information and preset rules, providing driver assistance functions and reducing the difficulty of driving the electric vehicle.

[0055] The electric vehicle assisted driving method, device, equipment, and storage medium provided by the present invention will be described in detail below with reference to the accompanying drawings and through specific embodiments and implementation methods.

[0056] Example 1

[0057] Reference Figure 1 The flowchart illustrates the first embodiment of the electric vehicle assisted driving method of the present invention, which is applied to an electric vehicle assisted driving device.

[0058] Electric vehicle driver assistance devices refer to terminal devices or network devices that can achieve network connectivity. Electric vehicle driver assistance devices can be embedded industrial control computers, or network devices such as servers and cloud platforms.

[0059] like Figure 2The diagram shown is a schematic of the hardware structure of an electric vehicle driver assistance device. The electric vehicle driver assistance device may include: a processor 1001, such as a CPU (Central Processing Unit), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005.

[0060] Those skilled in the art will understand that Figure 2 The hardware structure shown does not constitute a limitation on the electric vehicle driver assistance device of the present invention, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0061] Specifically, the communication bus 1002 is used to realize the connection and communication between these components;

[0062] User interface 1003 is used to connect to the client and communicate data with the client. User interface 1003 may include output units, such as a display screen, and input units, such as a keyboard.

[0063] The network interface 1004 is used to connect to the backend server and communicate data with the backend server. The network interface 1004 may include input / output interfaces, such as standard wired interfaces and wireless interfaces, such as Wi-Fi interfaces.

[0064] The memory 1005 is used to store various types of data, which may include, for example, instructions for any application or method in the electric vehicle driver assistance device, as well as application-related data. The memory 1005 may be a high-speed RAM or a stable memory, such as a disk storage device. Optionally, the memory 1005 may also be a storage device independent of the processor 1001. (Continuing with the previous section...) Figure 2 The memory 1005 may include an operating system, a network communication module, a user interface module, and a driver assistance program;

[0065] The processor 1001 is used to call the driver assistance program stored in the memory 1005 and perform the following operations:

[0066] Obtain the planned route information;

[0067] Obtain real-time route information while the electric vehicle is in motion;

[0068] Based on the planned path information and the real-time path information, the deviation of the driving path is obtained;

[0069] When the deviation of the driving path is less than the first threshold, a preset action is executed according to the real-time path information and preset rules.

[0070] Based on the aforementioned electric vehicle driver assistance devices, the following will be combined with... Figure 1 The flowchart shown illustrates the electric vehicle assisted driving method of this embodiment in detail. The method may include the following steps:

[0071] Step S10: Obtain the planned route information;

[0072] Specifically, the planned route information is pre-entered information, which may include route information from residence to company and route information from company to residence. It can be obtained through third-party software, such as Baidu Maps and Gaode Maps, or by collecting the driver's single driving route.

[0073] Step S20: Obtain real-time route information while the electric vehicle is in motion;

[0074] Specifically, real-time traffic information can include the vehicle's real-time location information, latitude and longitude information, driving trajectory, route change information and / or traffic information. The location information and latitude and longitude information can be obtained through a positioning module, while the traffic information and route change information can be obtained by a camera or collected by a smartphone placed in front of the electric vehicle through its camera or video recording function.

[0075] Step S30: Obtain the driving path deviation based on the planned path information and the real-time path information;

[0076] Specifically, the deviation of the driving path is obtained by comparing the planned path information and the real-time path information. The specific comparison method can be to compare the planned path and the driving trajectory to obtain the deviation between the driving trajectory and the planned path.

[0077] Step S40: When the deviation of the driving path is less than the first threshold, execute the preset action according to the real-time path information and preset rules.

[0078] Specifically, taking the comparison between the driving trajectory and the planned path as an example, the first threshold can be set to 10 meters. When the deviation of the driving path is less than 10 meters, or when the deviation between the driving trajectory and the planned path is less than 10 meters, the driver can be said to be driving according to the planned path. The preset rule can be to perform voice broadcast and / or operation control based on real-time road condition information. Among them, operation control can be to reduce the current input of the motor, that is, to decelerate the electric vehicle.

[0079] The electric vehicle assisted driving method provided in this embodiment obtains the planned path information as reference information, calculates the deviation of the driving path based on the real-time path information and planned information obtained during the electric vehicle's driving process, and determines whether the electric vehicle is driving according to the planned path. When the electric vehicle is driving according to the planned path, it executes preset actions according to the real-time path information and preset rules to provide assisted driving functions for the driver and reduce the driving difficulty of the electric vehicle.

[0080] Example 2

[0081] Based on the same inventive concept, a second embodiment of the electric vehicle assisted driving method of the present invention is proposed, which is applied to an electric vehicle assisted driving device.

[0082] The electric vehicle assisted driving method of this embodiment may include the following steps:

[0083] Step S10: Obtain the planned route information;

[0084] Step S20: Obtain real-time route information while the electric vehicle is in motion;

[0085] Step S30: Obtain the driving path deviation based on the planned path information and the real-time path information;

[0086] Step S40: When the deviation of the driving path is less than the first threshold, execute the preset action according to the real-time path information and preset rules.

[0087] In one implementation, step S10 may include:

[0088] Step S11: Obtain initial path information;

[0089] Specifically, the initial path information can be a recommended path obtained through third-party software.

[0090] Step S12: During the driving process of the electric vehicle, acquire the first trajectory information of the electric vehicle;

[0091] Specifically, the first trajectory information is the actual route between the destination and the departure point of the recommended route, which can be obtained through GPS positioning, preferably using a smartphone.

[0092] Step S13: Obtain the first planned path deviation based on the initial path information and the first trajectory information;

[0093] Specifically, obtaining the deviation of the first planned path facilitates subsequent steps in determining whether the recommended path and the actual trajectory are the same.

[0094] Step S14: When the deviation of the first planned path is less than the second threshold, the initial path information is determined to be the planned path information.

[0095] Specifically, when the deviation of the first planned path is less than the second threshold, the recommended path and the actual path are the same, and the recommended path is used as the planned path information. When the deviation of the first planned path is greater than the second threshold, there is a deviation between the recommended path and the actual path. For example, if the driver takes a side road, the recommended path will deviate from the actual path. In this case, the initial path information is not used as the planned path information. Verifying the initial path information using the first trajectory information can ensure the accuracy of the planned path information.

[0096] In another implementation, step S10 may include:

[0097] Step S15: Obtain second trajectory information for at least three identical journeys;

[0098] Specifically, taking the second trajectory information as the route information from the residence to the company as an example, the GPS positioning function can be used to obtain the driver's route information from the residence to the company three times.

[0099] Step S16: Obtain the deviation of the second planned path based on the second trajectory information from at least three identical journeys;

[0100] Specifically, the deviation of the second planned path can include the deviation between each second trajectory information.

[0101] Step S17: When the deviation of the second planned path is less than the third threshold, the second trajectory information is determined to be the planned path information.

[0102] Specifically, the planned route information is obtained through big data calculations, requiring no driver intervention and making it very convenient to use.

[0103] Furthermore, the real-time traffic information includes real-time trajectory information and first identification information, and the planned route information also includes second identification information;

[0104] Specifically, the first identification information is the marker point on the pre-entered planned path, which can be an image from the front view of the electric vehicle. The second identification information is a real-time image from the front view of the electric vehicle during actual driving.

[0105] Step S30 may include the following steps:

[0106] Step S31: Obtain the first driving path deviation based on the real-time trajectory information and the planned path information;

[0107] Step S32: Obtain the second driving path deviation based on the first identification information and the second identification information;

[0108] Step S40 may include the following steps:

[0109] Step S41: When the deviation of the first driving path is less than the fourth threshold and the deviation of the second driving path is less than the fifth threshold, execute the preset action according to the real-time path information and preset rules.

[0110] Specifically, when the deviation of the first driving path exceeds the fourth threshold, or the deviation of the second driving path exceeds the fifth threshold, the preset action will not be executed based on the real-time path information and preset rules. By calculating the deviation of the identification information, it can be determined in a short time whether the real-time path is consistent with the planned path, thus avoiding the need to provide driver assistance functions when the driver changes the path midway.

[0111] Furthermore, the real-time path information includes path reversal information;

[0112] Step S40 may include the following steps:

[0113] Step S42: When the deviation of the driving path is less than the first threshold and the electric vehicle needs to change direction, turn on the corresponding turn signal of the electric vehicle.

[0114] Specifically, controlling the left or right turn signal of an electric vehicle through route change information can avoid manual operation by the user, reduce driving difficulty, and allow the driver to concentrate more on the road conditions, thus reducing the incidence of safety accidents. At the same time, it can also be set to simultaneously broadcast riding safety reminder sounds to remind the driver to pay attention to safety.

[0115] Furthermore, the real-time path information includes road condition information;

[0116] Step S40 may include the following steps:

[0117] Step S43: When the deviation of the driving path is less than the first threshold and the road conditions are abnormal, adjust the output power of the motor or start / stop it.

[0118] Specifically, road conditions can be obtained through cameras, acceleration sensors, and / or air pressure sensors. Road conditions can include road bumps, uphill and downhill. When encountering road bumps, the current input of the motor is reduced and the driving speed is decreased. When a downhill is detected, the vehicle speed and braking data are detected and simultaneously broadcast to the driver via voice. When encountering an uphill, the current input of the motor is increased and simultaneously broadcast to the driver via voice.

[0119] The electric vehicle assisted driving method provided in this embodiment verifies the initial path information using the first trajectory information, which can ensure the accuracy of the planned path information; by calculating the deviation of the identification information, it can determine in a short time whether the real-time path is consistent with the planned path, thus avoiding the need to continue providing assisted driving functions when the driver changes the path midway.

[0120] Example 3

[0121] Based on the same inventive concept, referring to Figure 3 The present invention provides a first embodiment of an electric vehicle driver assistance device, which can be a virtual device and applied to electric vehicle driver assistance equipment.

[0122] The following is combined Figure 3 The functional module diagram shown illustrates the electric vehicle driver assistance device provided in this embodiment in detail. The device may include:

[0123] The route planning information acquisition module 100 is used to acquire route planning information;

[0124] The real-time path information acquisition module 200 is used to acquire real-time path information during the electric vehicle's operation.

[0125] The driving path deviation calculation module 300 is used to obtain the driving path deviation based on the planned path information and the real-time path information;

[0126] The assisted driving module 400 is used to perform preset actions based on real-time path information and preset rules when the deviation of the driving path is less than a first threshold.

[0127] It should be noted that the functions and corresponding technical effects of each module in the electric vehicle assisted driving device provided in this embodiment can be referred to the description of the specific implementation methods in the various embodiments of the electric vehicle assisted driving method of the present invention. For the sake of brevity, they will not be repeated here.

[0128] Example 4

[0129] Based on the same inventive concept, referring to Figure 2 The hardware structure diagram shows that this embodiment provides an electric vehicle assisted driving device. The electric vehicle assisted driving device may include a processor and a memory. The memory stores an assisted driving program. When the assisted driving program is executed by the processor, it implements all or part of the steps of various embodiments of the electric vehicle assisted driving method of the present invention.

[0130] Specifically, electric vehicle driver assistance devices refer to terminal devices or network devices that can achieve network connectivity. These can be terminal devices such as mobile phones, computers, tablets, and portable computers, or network devices such as servers and cloud platforms.

[0131] It is understood that electric vehicle driver assistance devices may also include a communication bus, a user interface, and a network interface. The communication bus is used to enable communication between these components; the user interface is used to connect to the client and communicate data with the client; the user interface may include output units such as a display screen and input units such as a keyboard; the network interface is used to connect to the backend server and communicate data with the backend server; the network interface may include input / output interfaces, such as standard wired interfaces and wireless interfaces.

[0132] The memory is used to store various types of data, which may include, for example, instructions for any application or method in the electric vehicle's driver assistance system, as well as application-related data. The memory can be implemented using any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Random Access Memory (RAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disks, or optical disks. Optionally, the memory can also be a processor-independent storage device.

[0133] The processor is used to call the driver assistance program stored in the memory and execute the electric vehicle driver assistance method as described above. The processor may be an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field-programmable gate array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is used to execute all or part of the steps of the various embodiments of the electric vehicle driver assistance method described above.

[0134] Example 5

[0135] Based on the same inventive concept, this embodiment provides a computer-readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), magnetic memory, disk, optical disk, server, etc. The storage medium stores a computer program, which can be executed by one or more processors. When the computer program is executed by the processor, it can implement all or part of the steps of the various embodiments of the electric vehicle assisted driving method of the present invention.

[0136] It should be noted that the sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments. The above embodiments are only optional embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made under the inventive concept of the present invention using the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are all included within the patent protection scope of the present invention.

Claims

1. A method for assisting driving an electric vehicle, characterized in that, The method includes: Obtain the planned route information; Obtain real-time route information while the electric vehicle is in motion; Based on the planned path information and the real-time path information, the deviation of the driving path is obtained; When the deviation of the driving path is less than the first threshold, a preset action is executed according to the real-time path information and preset rules. The real-time path information includes real-time trajectory information and first identification information, and the planned path information also includes second identification information; The step of obtaining the driving path deviation based on the planned path information and the real-time path information includes: obtaining a first driving path deviation based on the real-time trajectory information and the planned path information; and obtaining a second driving path deviation based on the first identification information and the second identification information. The step of executing a preset action based on real-time path information and preset rules when the deviation of the driving path is less than a first threshold includes: executing a preset action based on real-time path information and preset rules when the first deviation of the driving path is less than a fourth threshold and the second deviation of the driving path is less than a fifth threshold; and not executing a preset action based on real-time path information and preset rules when the first deviation of the driving path is greater than the fourth threshold or the second deviation of the driving path is greater than the fifth threshold.

2. The electric vehicle assisted driving method as described in claim 1, characterized in that, The steps for obtaining the planned path information include: Obtain initial path information; During the operation of the electric vehicle, the first trajectory information of the electric vehicle is acquired; Based on the initial path information and the first trajectory information, the first planned path deviation is obtained; When the deviation of the first planned path is less than the second threshold, the initial path information is determined to be the planned path information.

3. The electric vehicle assisted driving method as described in claim 1, characterized in that, The steps for obtaining the planned path information include: Obtain second trajectory information for at least three identical trips; The deviation of the second planned path is obtained based on the second trajectory information from at least three identical trips; When the deviation of the second planned path is less than the third threshold, the second trajectory information is determined to be the planned path information.

4. The electric vehicle assisted driving method as described in claim 1, characterized in that, The real-time path information includes path reversal information; The step of executing a preset action based on real-time path information and preset rules when the deviation of the driving path is less than a first threshold includes: When the deviation of the driving path is less than the first threshold and the electric vehicle needs to change direction, the corresponding turn signal of the electric vehicle is turned on.

5. The electric vehicle assisted driving method as described in claim 1, characterized in that, The real-time path information includes road condition information; The step of executing a preset action based on real-time path information and preset rules when the deviation of the driving path is less than a first threshold includes: When the deviation of the driving path is less than the first threshold and the road conditions are abnormal, adjust the output power of the motor or start / stop it.

6. An electric vehicle driver assistance device, characterized in that, The device includes: The route planning information acquisition module is used to acquire route planning information; The real-time route information acquisition module is used to acquire real-time route information during the electric vehicle's operation. The driving path deviation calculation module is used to obtain the driving path deviation based on the planned path information and the real-time path information; The driver assistance module is used to perform preset actions based on real-time path information and preset rules when the deviation of the driving path is less than a first threshold.

7. An electric vehicle driver assistance device, characterized in that, The device includes a processor and a memory, the memory storing an assisted driving program, and when the electric vehicle assisted driving method is executed by the processor, it implements the electric vehicle assisted driving method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by one or more processors, implements the electric vehicle assisted driving method as described in any one of claims 1 to 5.

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