CN111497679A

CN111497679A - Pure electric vehicle energy consumption monitoring optimization method and system

Info

Publication number: CN111497679A
Application number: CN202010256025.3A
Authority: CN
Inventors: 张农; 张鹏; 朱波; 郑敏毅; 罗亮
Original assignee: Hefei University of Technology
Current assignee: Hefei University of Technology
Priority date: 2019-05-17
Filing date: 2020-04-02
Publication date: 2020-08-07
Anticipated expiration: 2040-04-02
Also published as: CN111497679B

Abstract

The invention relates to a pure electric vehicle energy consumption monitoring and optimizing method, which comprises the following steps: setting a target place to which a vehicle needs to arrive, and starting to acquire vehicle operation information after the vehicle is started; determining the actual road condition from the target location to the current position of the vehicle, and simulating the actual road condition information; when the driving cycle number i is more than or equal to 1, beginning to evaluate the energy consumption; calculating and acquiring real-time energy consumption efficiency in the current energy consumption evaluation period, and calculating the real-time energy consumption efficiency E_iAnd the energy consumption rate E in the i-1 th energy consumption evaluation period_i‑1Displaying on a vehicle instrument; giving an optimization suggestion of the driving behavior; through the comparison of the residual electric quantity of the battery and the residual required electric quantity, whether the driver can normally arrive or not is givenAnd (4) prompting a target place. The invention also discloses an energy consumption monitoring and optimizing system of the pure electric vehicle. The invention not only can accurately provide the current energy consumption condition for the driver, but also can provide advice for the driving behavior of the driver, thereby realizing energy conservation and consumption reduction of the whole vehicle.

Description

Pure electric vehicle energy consumption monitoring optimization method and system

Technical Field

The invention relates to the technical field of electric vehicle monitoring and energy-saving optimization, in particular to a method and a system for monitoring and optimizing energy consumption of a pure electric vehicle.

Background

With the gradual increase of energy crisis and environmental pollution problems, electric vehicles are regarded as strategic industries, and the characteristics of using clean energy are receiving more and more attention. The economy of the electric automobile is always a focus, and due to the existence of the core technology bottleneck of the battery and the complexity of the actual road condition, the real-time consumption condition of the battery energy by a driver cannot be well mastered, so that the universal driving range anxiety exists in the driving process.

In addition to complex actual road conditions, the driving behavior of the driver can also cause the increase of energy consumption, for example, poor driving behaviors such as continuous high vehicle speed and frequent rapid speed increase can aggravate the consumption of battery energy, so that the corresponding actual driving range is greatly reduced, and the behavior can aggravate the worry of the driver about the endurance of the pure electric vehicle. Therefore, on one hand, the energy consumption can be accurately evaluated according to the driving behavior of the driver and the actual road condition, and on the other hand, a reasonable optimization suggestion needs to be provided for the driving behavior of the driver in the driving process, so that the energy conservation and consumption reduction of the electric automobile are facilitated, and the mileage anxiety of the driver is reduced. At present, most of methods and systems for monitoring and optimizing the energy consumption of electric vehicles collect the running information of the vehicles for a period of time to evaluate the energy consumption, the method cannot carry out dynamic analysis according to the real-time driving habits of drivers, and the precision of monitoring and evaluating results is low.

Disclosure of Invention

The invention aims to provide a pure electric vehicle energy consumption monitoring and optimizing method which can accurately feed back the energy consumption condition to a driver according to the actual road condition and the current driving behavior of the driver and can provide the optimization suggestion of the driving behavior to the driver according to the estimated condition of the residual electric quantity, thereby realizing the energy conservation and consumption reduction of an electric vehicle and relieving the anxiety of the driving range of the driver.

In order to achieve the purpose, the invention adopts the following technical scheme: a pure electric vehicle energy consumption monitoring optimization method comprises the following sequential steps:

(1) setting a target place to which a vehicle needs to arrive, and starting to collect vehicle operation information after the vehicle is started, wherein the vehicle operation information comprises vehicle state information and vehicle component state information;

(2) determining the actual road condition from the target location to the current position of the vehicle, and simulating the actual road condition information;

(3) when the number i of driving cycles is more than or equal to 1, energy consumption evaluation is started, and then the automobile drives for each energy consumption evaluation period T_EPerforming energy consumption evaluation once, wherein the energy consumption evaluation comprises the evaluation of the driving habits of the driver and the energy consumption rate in the i-1 th energy consumption evaluation period;

(4) calculating and acquiring real-time energy consumption efficiency in the current energy consumption evaluation period, and calculating the real-time energy consumption efficiency E_iAnd the energy consumption rate E in the i-1 th energy consumption evaluation period_i-1Displaying on a vehicle instrument; when the number i of driving cycles is more than or equal to 1, the efficiency E is consumed by real-time energy_iAnd the energy consumption rate E in the i-1 th energy consumption evaluation period_i-1Comparing, and giving out an optimization suggestion of the driving behavior; and the prompt of whether the driver can normally reach the target place is given by comparing the residual electric quantity of the battery with the residual required electric quantity.

The state information of the whole vehicle in the step (1)Including vehicle speed information and driving period number, recording time as energy consumption evaluation period T_EDefining the initial value of the current driving cycle number i, i as 0, and every time a time period T passes_EI-i +1, the recorded vehicle speed is stored as the i-th vehicle speed V according to the number of driving cycles_i；

The state information of the whole vehicle part in the step (1) comprises the output working voltage U of the battery_iOutput operating current I of battery_iBattery state of charge SOC, battery temperature Tem and real-time speed n of motor_m。

The simulation of the actual road condition information in the step (2) comprises a path information simulation and a congestion information simulation, wherein the path information simulation is obtained according to an initial position, a target position and a real-time position obtained on a GPS in a motion process set when a driver starts, and a whole-course path is simulated and obtained by the way that the initial position reaches the target position along a certain path through the initial position, the target position and road information between the two positions on a vehicle-mounted map; the real-time position and the target position are obtained on a GPS in the movement process and road information between the two positions on a vehicle-mounted map is obtained, the real-time position reaches the target position along the selected road, the selected road is included in the road selected on the whole route, and the rest driving route is obtained through the method in a simulation mode; the congestion information simulation means that a path between two traffic lights on a remaining path is defined as a road section, the traffic light at the nearest position on the selected path at the current position is the first road section, the position from the last traffic light to a target point is defined as the last road section, the number k +1 of the remaining road sections is obtained from the actual road section on the remaining driving path, and the distance of the path from the vehicle to the nearest road section is defined as D₀The distance of successive road sections being D₁,D₂,...D_K(ii) a Reading the data of the Internet of vehicles through the vehicle-mounted mobile terminal, and acquiring the V of the traffic flow speed of each road section at the current time_aCalculating the congestion coefficient a of each road section₁，...，a_kWhen the traffic flow speed is low, the situation that the vehicle is frequently started and stopped and accelerated is judged that the road section is relatively congested; about speed of trafficV_aCongestion coefficient a_kThe concrete requirements are as follows:

a) when the speed V of the vehicle_aWhen the congestion coefficient is more than 20km/h, the congestion coefficient a_kIs 1;

b) when the speed V of the vehicle_aWhen the congestion coefficient is more than 10km/h and less than or equal to 20km/h, the congestion coefficient a_kIs 1.05;

when the speed V of the vehicle_aWhen the congestion coefficient is less than or equal to 10km/h, the congestion coefficient a_kIs 1.17.

The specific steps in the step (3) are as follows:

(1) when the number i of the energy consumption driving cycles is more than or equal to 1, the energy consumption evaluation is started, and the vehicle speed V recorded in the i-1 th cycle_i-1Matching the comparison speed graph, and defining the closest driving habit curve after fitting as the current driving habit;

(2) driving mileage S in the i-1 th energy consumption evaluation period_i-1By passing

Is calculated to obtain, wherein, V_i-Vehicle speed recorded in the i-1 th energy consumption evaluation period; while consuming Q for the battery in the period_i-1The energy of (a) is calculated, and the calculation formula is as follows:

analyzing and calculating the energy consumption rate under the i-1 energy consumption evaluation period according to the obtained result

The energy consumption rate is used as an evaluation basis for evaluating the driving habits of the driver in the latest energy consumption evaluation period.

The optimization suggestion for the driving behavior in the step (4) specifically includes:

when the number i of driving cycles is greater than or equal to 1, the real-time energy consumption efficiency E_iEnergy consumption rate E in the i-1 th energy consumption evaluation period_i-1When the height is high, the optimization suggestion display module gives suggestion prompts: "the current energy consumption is increased, please pay attention to the driving behavior", the suggestion prompts through the central controlDisplaying on a display screen; when real-time energy consumption efficiency E_iIs less than or equal to the energy consumption rate E in the i-1 th energy consumption evaluation period_i-1And the energy consumption optimization suggestion module gives a prompt: "good driving behavior, please keep" and the advice prompt is displayed through the central control display screen.

The step (4) of comparing the remaining power of the battery with the remaining required power to give a prompt whether the driver can normally arrive at the target location specifically includes:

defining estimation of remaining Power W of a Battery based on SOC of the Battery_KWhen the SOC of the battery is reduced from 100% to 0% under the normal discharge condition of the battery, the released electric quantity is W₀，W_K＝SOC×W₀(ii) a The residual required electric quantity P reaching the target place_K＝L_k×E_i-1,L_kFor remaining required driving range, E_i-1Evaluating an energy consumption rate in a period for the i-1 th energy consumption; minimum remaining required power P_min＝L_k×E_min，E_minTo record the minimum energy consumption rate of i-1 energy consumption cycles, E_min＝min(E₁,E₂...E_i-1)；

Remaining required mileage

Wherein, L_kFor remaining required mileage, D_iIs the physical route of the i-th road segment, a_iThe congestion coefficient of the ith section of road is obtained;

when the remaining required power P_KLess than or equal to residual electric quantity W_KWhen the time is 0.5 times that of the vehicle, the optimized suggestion display module suggests that the driving behavior is good and the destination can be reached normally; when the remaining required power P_KLess than or equal to residual electric quantity W_KWhen the energy consumption is 0.5 times and is more than 0.75 times of the residual capacity, the optimized suggestion display module suggests that the driving behavior energy consumption is higher and the driving behavior is noticed;

when the minimum remaining required power P_minLess than or equal to residual electric quantity W_KIs 0.9 times and more than the residual capacity W_KWhen the time is 0.75 times that of the vehicle, the optimized suggestion display module suggests that the vehicle cannot reach the target place due to the current driving habit, please pay attention to the driving behavior and charge in time;

when the minimum remaining required power P_minGreater than the remaining power W_KAnd when the current vehicle can not reach the target location, the optimization suggestion display module suggests that the current vehicle can not reach the target location and pay for the vehicle to be charged.

Another object of the present invention is to provide an energy consumption monitoring and optimizing system for a pure electric vehicle, including:

the whole vehicle information acquisition module acquires vehicle operation information, wherein the vehicle operation information comprises whole vehicle state information and whole vehicle component state information;

the road condition information simulation module is used for simulating actual road condition information according to actual road conditions from a target location to the current position of a vehicle, wherein the actual road condition information simulation comprises path information simulation and congestion condition simulation;

an energy consumption evaluation module for finishing an energy consumption evaluation period T every time when the automobile runs_EPerforming energy consumption evaluation for the first time, wherein the energy consumption evaluation comprises evaluating the driving habits of a driver and the energy consumption rate in the i-1 th energy consumption evaluation period;

the optimization suggestion display module is used for displaying the real-time energy consumption efficiency obtained by calculation in the current energy consumption period and displaying the real-time energy consumption efficiency and the energy consumption rate in the (i-1) th energy consumption evaluation period on the vehicle-mounted instrument;

the whole vehicle information acquisition module comprises:

the power management system is used for collecting working current and working voltage released by the battery and the SOC of the battery;

the first CAN bus communication device is used for realizing information communication;

the motor management system and the motor control unit for collecting the real-time rotating speed of the motor transmit required information to the whole vehicle control unit through the CAN bus communication device;

the first vehicle control unit is used for calculating, comparing, recording and storing information;

the vehicle speed measuring device adopts a photoelectric sensor to realize the real-time detection and transmission of the vehicle speed;

the road condition information simulation module comprises:

the GPS positioning navigation device acquires target location information and path information of a driver;

the vehicle-mounted mobile terminal device acquires the segmentation condition and the road section traffic flow information on the remaining driving path through a 4G wireless communication network;

the second CAN bus communication device is used for realizing information communication;

the second vehicle control unit is used for calculating, recording and storing information;

the GPS positioning navigation device and the vehicle-mounted mobile terminal device transmit information to a second vehicle control unit through a second CAN bus communication device to complete estimation of the remaining required driving mileage;

the energy consumption evaluation module comprises:

the third vehicle control unit is used for calculating, comparing, recording and storing information;

the third CAN bus communication device is used for realizing information communication;

the optimization suggestion display module includes:

and the fourth vehicle control unit comprises information calculation, comparison, recording and storage.

The fourth CAN bus communication device is used for realizing information communication;

the vehicle-mounted instrument displays the real-time energy consumption efficiency and the energy consumption rate in the i-1 energy consumption evaluation period;

and the central control display screen displays suggestion prompts of whether the driver can normally arrive at the target site.

According to the technical scheme, the invention has the advantages that: firstly, the running state information of the vehicle is collected and stored through a whole vehicle state information collection module, so that real-time running information of the vehicle can be obtained; secondly, the road condition information simulation module can realize the information simulation of the driving behavior and the complex road condition of the driver in the actual driving process, so that the obtained energy consumption result is more accurate; and thirdly, the energy consumption assessment and optimization suggestion module can accurately simulate the current energy consumption rate and can provide optimization suggestions according to the energy consumption assessment and optimization suggestions, so that the driving behavior of a driver can be optimized, the driving range anxiety of the driver is relieved, and the energy saving and consumption reduction in the actual driving of the whole vehicle are realized.

Drawings

FIG. 1 is a block diagram of the system architecture of the present invention;

FIG. 2 is a schematic diagram of a traffic information simulation module;

FIG. 3 is a schematic diagram of a remnant path segmentation method;

FIG. 4 is a simulation diagram of different driving habits;

FIG. 5 is a flow chart of energy consumption monitoring optimization.

Detailed Description

As shown in fig. 5, a pure electric vehicle energy consumption monitoring and optimizing method includes the following steps:

The whole vehicle state information in the step (1) comprises vehicle speed information and driving cycle number, and the recording time is an energy consumption evaluation period T_EDefining the initial value of the current driving cycle number i, i as 0, and every time a time period T passes_E I-i +1, the recorded vehicle speed is stored as the i-th vehicle speed V according to the number of driving cycles_i；

The simulation of the actual road condition information in the step (2) comprises a path information simulation and a congestion information simulation, wherein the path information simulation is obtained according to an initial position, a target position and a real-time position obtained on a GPS in a motion process set when a driver starts, and a whole-course path is simulated and obtained by the way that the initial position reaches the target position along a certain path through the initial position, the target position and road information between the two positions on a vehicle-mounted map; the real-time position and the target position are obtained on a GPS in the movement process and road information between the two positions on a vehicle-mounted map is obtained, the real-time position reaches the target position along the selected road, the selected road is included in the road selected on the whole route, and the rest driving route is obtained through the method in a simulation mode; the congestion information simulation means that a path between two traffic lights on a remaining path is defined as a road section, the traffic light at the nearest position on the selected path at the current position is the first road section, the position from the last traffic light to a target point is defined as the last road section, the number k +1 of the remaining road sections is obtained from the actual road section on the remaining driving path, and the distance of the path from the vehicle to the nearest road section is defined as D₀The distance of successive road sections being D₁,D₂,...D_K(ii) a Reading the data of the Internet of vehicles through the vehicle-mounted mobile terminal, and acquiring the V of the traffic flow speed of each road section at the current time_aCalculating the congestion coefficient a of each road section₁，...，a_kWhen the traffic flow speed is low, the road section is judged to be relatively lowIn case of congestion, the vehicle can be frequently started, stopped and accelerated; about the speed V of traffic_aCongestion coefficient a_kThe concrete requirements are as follows:

c) when the speed V of the vehicle_aWhen the congestion coefficient is more than 20km/h, the congestion coefficient a_k Is 1;

d) when the speed V of the vehicle_aWhen the congestion coefficient is more than 10km/h and less than or equal to 20km/h, the congestion coefficient a_kIs 1.05;

The specific steps in the step (3) are as follows:

(1) when the number i of the energy consumption driving cycles is more than or equal to 1, the energy consumption evaluation is started, and the vehicle speed V recorded in the i-1 th cycle_i-1And matching the vehicle speed graph, defining the closest driving habit curve after fitting as the current driving habit, wherein the specific driving habit is shown in FIG. 5, and the higher each section of the vehicle speed is, the more and more the driving habit consumes energy.

Is calculated to obtain, wherein, V_i-1Vehicle speed recorded in the i-1 th energy consumption evaluation period; while consuming Q for the battery in the period_i-1The energy of (a) is calculated, and the calculation formula is as follows:

when the number i of driving cycles is greater than or equal to 1, the real-time energy consumption efficiency E_iMore than i-1 energy consumption evaluation periodSpecific energy consumption E_i-1When the height is high, the optimization suggestion display module gives suggestion prompts: the current energy consumption is increased and the driver notices the driving behavior, and the suggestion prompt is displayed through a central control display screen; when real-time energy consumption efficiency E_iIs less than or equal to the energy consumption rate E in the i-1 th energy consumption evaluation period_i-1And the energy consumption optimization suggestion module gives a prompt: "good driving behavior, please keep" and the advice prompt is displayed through the central control display screen.

Remaining required mileage

when the remaining required power P_KLess than or equal to residual electric quantity W_KWhen the time is 0.5 times that of the vehicle, the optimized suggestion display module suggests that the driving behavior is good and the destination can be reached normally; when the remaining required power P_KLess than or equal to residual electric quantity W_K0.5 times and more than 0.75 times of the remaining capacity, the optimization suggestion display module suggests that the driving behavior energy consumption is higher and please pay attention to the drivingBehavior ";

As shown in fig. 1, the present system includes:

and the optimization suggestion display module is used for calculating and acquiring the real-time energy consumption efficiency in the current energy consumption period and displaying the real-time energy consumption efficiency and the energy consumption rate in the (i-1) th energy consumption evaluation period on the vehicle-mounted instrument.

As shown in fig. 1, the vehicle information acquisition module includes:

the first CAN bus communication device 1 is used for realizing information communication;

as shown in fig. 2, the traffic information simulation module includes:

GPS positioning navigation device, obtaining driver's target location information and path information, making whole course path information simulation and residual path information simulation, and making segmentation according to residual path information, the concrete segmentation method is shown in figure 3, according to the path between two traffic lights on the residual path defining a road section, the current position distance planning the nearest traffic light first road section on the path, the last traffic light to target location defining last road section) obtaining residual road section number k, the distance of distance to nearest road section defining D₁Of successive road sections being D₂,D₃,...D_k；

The vehicle-mounted mobile terminal device acquires the segmentation condition and the road section traffic flow information on the remaining driving path through a 4G wireless communication network; the information is transmitted to a second vehicle control unit through a CAN bus, and the second vehicle control unit finishes the estimation of the remaining required driving mileage;

the second CAN bus communication device 2 is used for realizing information communication;

the GPS positioning navigation device and the vehicle-mounted mobile terminal device transmit information to a second vehicle control unit through a second CAN bus communication device 2 to complete estimation of the remaining required driving mileage;

as shown in fig. 1, the energy consumption evaluation module includes:

the third vehicle control unit is used for calculating, comparing, recording and storing information; in the third vehicle control unit, simulation evaluation of the driving habits of the driver is determined according to the stored vehicle state information, the evaluation method can be used for carrying out simulation comparison according to different driving habits shown in the figure 4, vehicle speed curve fitting is carried out, the closest driving habit curve after fitting is defined as the current driving habit, and the analysis result is transmitted to the optimization suggestion display module through a communication mode. Meanwhile, calculating and analyzing, wherein the energy consumption rate in the last energy consumption evaluation period is used as an evaluation basis for reflecting the driving habit of the driver in the latest energy consumption evaluation period under a stable condition;

the third CAN bus communication device 3 realizes information communication;

as shown in fig. 1, the optimization suggestion display module includes:

The fourth CAN bus communication device 4 is used for realizing information communication;

The vehicle-mounted instrument can display the current driving habit, the real-time energy consumption rate and the energy consumption rate in the latest energy consumption evaluation period; the central control display screen mainly displays a driving habit condition judgment prompt and a vehicle energy preparation use condition, and gives an optimization suggestion.

In conclusion, the vehicle running state information is collected and stored through the whole vehicle state information collection module, so that real-time vehicle running information can be obtained; the road condition information simulation module can realize the information simulation of the driving behavior and the complex road condition of the driver in the actual driving process, so that the obtained energy consumption result is more accurate; the energy consumption evaluation and optimization suggestion module can accurately simulate the current energy consumption rate and can provide optimization suggestions according to the energy consumption rate, so that the driving behavior of a driver is optimized, the driving range anxiety of the driver is relieved, and the energy saving and consumption reduction in the actual driving of the whole vehicle are realized. The invention not only can accurately provide the current energy consumption condition for the driver, but also can provide advice for the driving behavior of the driver, thereby realizing energy conservation and consumption reduction of the whole vehicle.

Claims

1. A pure electric vehicle energy consumption monitoring optimization method is characterized by comprising the following steps: the method comprises the following steps in sequence:

2. The pure electric vehicle energy consumption monitoring and optimizing method according to claim 1, characterized in that: the whole vehicle state information in the step (1) comprises vehicle speed information and driving cycle number, and the recording time is an energy consumption evaluation period T_EDefining the initial value of the current driving cycle number i, i as 0, and every time a time period T passes_EI-i +1, the recorded vehicle speed is stored as the i-th vehicle speed V according to the number of driving cycles_i；

3. The pure electric vehicle energy consumption monitoring and optimizing method according to claim 1, characterized in that: the simulation of the actual road condition information in the step (2) comprises a path information simulation and a congestion information simulation, wherein the path information simulation is obtained according to an initial position, a target position and a real-time position obtained on a GPS in a motion process set when a driver starts, and a whole-course path is simulated and obtained by the way that the initial position reaches the target position along a certain path through the initial position, the target position and road information between the two positions on a vehicle-mounted map; the real-time position and the target position are obtained on a GPS in the movement process and road information between the two positions on a vehicle-mounted map is obtained, the real-time position reaches the target position along the selected road, the selected road is included in the road selected on the whole route, and the rest driving route is obtained through the method in a simulation mode; the congestion information simulation means that a path between two traffic lights on a remaining path is defined as a road section, the traffic light at the nearest position on the selected path at the current position is the first road section, the position from the last traffic light to a target point is defined as the last road section, the number k +1 of the remaining road sections is obtained from the actual road section on the remaining driving path, and the distance of the path from the vehicle to the nearest road section is defined as D₀The distance of successive road sections being D₁,D₂,...D_K(ii) a Reading the data of the Internet of vehicles through the vehicle-mounted mobile terminal, and acquiring the V of the traffic flow speed of each road section at the current time_aCalculating the congestion coefficient a of each road section₁，...，a_kWhen the traffic flow speed is low, the situation that the vehicle is frequently started and stopped and accelerated is judged that the road section is relatively congested; about the speed V of traffic_aCongestion coefficient a_kThe concrete requirements are as follows:

4. The pure electric vehicle energy consumption monitoring and optimizing method according to claim 1, characterized in that: the specific steps in the step (3) are as follows:

5. The pure electric vehicle energy consumption monitoring and optimizing method according to claim 1, characterized in that: the optimization suggestion for the driving behavior in the step (4) specifically includes:

when the number i of driving cycles is greater than or equal to 1, the real-time energy consumption efficiency E_iEnergy consumption rate E in the i-1 th energy consumption evaluation period_i-1When the height is high, the optimization suggestion display module gives suggestion prompts: the current energy consumption is increased and the driver notices the driving behavior, and the suggestion prompt is displayed through a central control display screen; when real-time energy consumption efficiency E_iIs less than or equal to the energy consumption in the i-1 th energy consumption evaluation periodRate E_i-1And the energy consumption optimization suggestion module gives a prompt: "good driving behavior, please keep" and the advice prompt is displayed through the central control display screen.

6. The pure electric vehicle energy consumption monitoring and optimizing method according to claim 1, characterized in that: the step (4) of comparing the remaining power of the battery with the remaining required power to give a prompt whether the driver can normally arrive at the target location specifically includes:

Remaining required mileage

when the minimum remaining required power P_minLess than or equal to residual electric quantity W_KIs 0.9 times and more thanResidual electric quantity W_KWhen the time is 0.75 times that of the vehicle, the optimized suggestion display module suggests that the vehicle cannot reach the target place due to the current driving habit, please pay attention to the driving behavior and charge in time;

7. System for implementing the pure electric vehicle energy consumption monitoring optimization method according to any one of claims 1 to 6, characterized in that: the method comprises the following steps:

the whole vehicle information acquisition module comprises:

the road condition information simulation module comprises:

the energy consumption evaluation module comprises:

the optimization suggestion display module includes: