Hybrid electric vehicle endurance prediction system

Abstract

The invention relates to a hybrid electric vehicle endurance prediction system, in particular to the technical field of hybrid electric vehicles, comprising: an information acquisition module for periodically acquiring data of a hybrid electric vehicle; the driving analysis module is used for analyzing the driving state and the driving habit; the engine analysis module is used for analyzing the periodic generating capacity and the available generating capacity; the battery analysis module is used for analyzing and optimizing the power consumption; the endurance prediction module is used for analyzing the endurance mileage; the adjustment optimization unit is used for adjusting, optimizing and correcting the analysis process of the endurance mileage, and the feedback correction module is used for obtaining the actual driving mileage and the actual total power consumption and correcting the correction process of the endurance mileage. According to the invention, the comprehensive analysis of the automobile driving environment, the driver operation habit and the automobile power condition is realized, and the problems of low efficiency and inaccurate analysis of the endurance mileage of the hybrid electric vehicle are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of hybrid electric vehicles, and in particular to a hybrid electric vehicle cruising range prediction system. Background Art

[0002] As an important step in the development of automobiles towards new energy vehicles, hybrid vehicles have better endurance than electric vehicles. The range prediction of hybrid vehicles is crucial for drivers to travel, and accurate prediction of the range is required to meet the driver's planning of driving plans.

[0003] Chinese patent publication number: CN111516500A discloses a method for predicting the cruising range of a hybrid vehicle, including step 1): obtaining the initial parameters of the vehicle; step 2): judging the driving mode of the vehicle according to the remaining power, fuel volume and power working mode; step 3): calculating the cruising range under the driving mode of the vehicle; step 4): judging whether the driving mode of the vehicle has changed, and outputting the calculation result if it has not changed. This invention realizes the analysis of the influence of the vehicle power mode on the cruising range of the vehicle, but does not realize the comprehensive analysis of the vehicle driving environment, the driver's operating habits and the vehicle power situation, and there are problems of low efficiency and inaccurate analysis of the cruising range of hybrid vehicles. Summary of the invention

[0004] To this end, the present invention provides a hybrid vehicle cruising range prediction system to overcome the problems of low efficiency and inaccurate analysis of hybrid vehicle cruising range in the prior art.

[0005] To achieve the above object, the present invention provides a hybrid vehicle range prediction system, comprising:

[0006] An information acquisition module, used to periodically acquire the driving information, battery information, engine operation information, engine parameter information, load, remaining fuel and tire pressure of the hybrid vehicle;

[0007] A driving analysis module is used to analyze the driving status of the car and the driving habits of the driver based on the driving information;

[0008] An engine analysis module is used to analyze the periodic power generation according to the engine parameter information, and to analyze the available power generation according to the remaining fuel amount and the engine parameter information;

[0009] A battery analysis module is used to analyze power consumption based on battery information and to optimize the power consumption analysis process based on driving habits;

[0010] A cruising range prediction module is used to analyze the cruising range based on driving information, available power generation and power consumption, and is also used to output the cruising range;

[0011] An adjustment and optimization module is used to analyze the power situation according to the engine operation information, the periodic power generation and the power consumption, and to adjust the analysis process of the cruising range according to the power situation, and to optimize the adjustment process of the cruising range according to the tire pressure, the load and the driving state, and to correct the optimization process of the cruising range according to the driving state of the current cycle and the driving state of the previous cycle;

[0012] The feedback correction module is used to obtain the actual mileage and actual total power consumption during the driving cycle of the hybrid vehicle, and to correct the correction process of the cruising range of the next driving cycle according to the actual mileage and actual total power consumption.

[0013] Furthermore, the driving analysis module is provided with a state analysis unit, which is used to calculate the average driving speed of the car in a period according to the driving speed, and compare the average driving speed with the speed threshold, and analyze the driving state according to the comparison result, wherein:

[0014] When V<v and When the state analysis unit determines that the driving state is congested driving;

[0015] When V ≥ v and When the state analysis unit determines that the driving state is continuous driving;

[0016] Wherein, V represents the average driving speed, and V=(V1+V2+...+Vi) / i is set, V1 represents the driving speed in the first second of the cycle, V2 represents the driving speed in the second second of the cycle, Vi represents the driving speed in the last second of the cycle, i represents the number of each second in the cycle, i={i∈T×60|i∈N +}, T represents the value of the period, v represents the speed threshold, and its value range is 10≤v≤20.

[0017] Furthermore, the driving analysis module is provided with a habit analysis unit, which is used to analyze driving habits according to driving speed, braking distance and throttle distance, wherein:

[0018] when When L1 / (L1+L2)>L2 / (V×T×60), the habit analysis unit determines that the driving habit is common gliding;

[0019] when When L2 / (L1+L2)<L2 / (V×T×60), the habit analysis unit determines that the driving habit is a habit of emergency stop.

[0020] Furthermore, the battery analysis module is provided with a power consumption analysis unit, which is used to analyze the power consumption R according to the remaining power, and set R=Q1-Qi, wherein Q1 represents the remaining power in the first second of the cycle, and Qi represents the remaining power in the last second of the cycle.

[0021] Furthermore, the battery analysis module is also provided with a power consumption adjustment unit, which is used to adjust the power consumption analysis process according to the battery temperature, wherein:

[0022] when And Yi / Y>Y / Y1 or When Yi>Y1, the power consumption adjustment unit determines that the temperature rises, and adjusts the power consumption analysis process. The adjusted power consumption is R1, and R1=R×e (Yi-Y1) / 10 ;

[0023] when When y1<Y<y2 and Yi / Y≤Y / Y1, the power consumption adjustment unit determines that the temperature is appropriate and does not adjust the power consumption analysis process;

[0024] Wherein, Y represents the average battery temperature, and Y=(Y1+Y2+...+Yi) / i is set, Y1 represents the battery temperature in the first second of the cycle, Y2 represents the battery temperature in the second second of the cycle, Yi represents the battery temperature in the last second of the cycle, y1 represents the first temperature threshold, 15≤y1≤25, y2 represents the second temperature threshold, 30≤y2≤40;

[0025] The battery analysis module is also provided with a power consumption optimization unit, which is used to optimize the power consumption adjustment process according to driving habits, wherein:

[0026] When the driving habit is common gliding, the power consumption optimization unit does not optimize the adjustment process of power consumption;

[0027] When the driving habit is to make an emergency stop, the power consumption optimization unit optimizes the power consumption adjustment process, and the optimized power consumption is R2, and R2=R1×log L2 / (L1+L2) [L2 / (V×T×60)].

[0028] Furthermore, the cruising range prediction module calculates the cruising range according to the driving speed, the available power generation and the power consumption through the cruising range prediction formula. The cruising range prediction module is provided with a cruising range prediction formula as follows:

[0029] S=V×T×60×W / R

[0030] Among them, S represents the range.

[0031] Furthermore, the adjustment and optimization module is provided with a power analysis unit, which is used to analyze the power situation according to the engine operation information, periodic power generation and power consumption, wherein:

[0032] When the engine operation information indicates that the engine is not involved, the power analysis unit determines that the power situation is battery direct drive;

[0033] When the engine operation information is engine intervention and w≤R, the power analysis unit determines that the power situation is power generation and driving;

[0034] When the engine operation information is engine intervention and w>R, the power analysis unit determines that the power situation is charging and driving;

[0035] The adjustment and optimization module is provided with a cruising range adjustment unit, which is used to adjust the cruising range analysis process according to the power situation, wherein:

[0036] When the power situation is battery direct drive or power generation and drive, the cruising range adjustment unit does not adjust the cruising range analysis process;

[0037] When the power situation is charging and driving, the cruising range adjustment unit adjusts the analysis process of the cruising range, and the adjusted cruising range is S1, and S1=S×[1-(wR)×α / R] is set;

[0038] Among them, α is the charging loss rate, and its value range is: 0.05≤α≤0.06.

[0039] Furthermore, the adjustment and optimization module is further provided with a cruising range optimization unit, which is used to optimize the adjustment process of the cruising range according to tire pressure, load and driving status, wherein:

[0040] When the driving state is continuous driving, the cruising range optimization unit does not optimize the adjustment process of the cruising range;

[0041] When the driving state is congestion driving, the cruising range optimization unit optimizes the adjustment process of the cruising range, and the optimized cruising range is S2, and S2=S1 / [1+(2.5-H) / 125]×log H×10 (Nv×M);

[0042] Wherein, H represents tire pressure, M represents load, Nv represents the number of times the vehicle starts in a cycle, and the endurance optimization unit counts the number of times in the cycle Vi×V(i+1)=0 and Vi+V(i+1)>0 as the number of times the vehicle starts.

[0043] Furthermore, the adjustment and optimization module is also provided with a cruising range correction unit, which is used to compare the driving state of the current cycle with the driving state of the previous cycle, and correct the cruising range optimization process according to the comparison result, wherein:

[0044] When the driving state of the current cycle is the same as the driving state of the previous cycle, the cruising range correction unit determines that the scene is not switched and does not correct the cruising range optimization process;

[0045] When the driving state of the current cycle is different from the driving state of the previous cycle, the cruising range correction unit determines that the scene has been switched, and corrects the cruising range optimization process. The corrected cruising range is S3, and S3=S2×a is set. N1 ×b NT ;

[0046] Wherein, a represents the first correction coefficient, b represents the second correction coefficient, 0.9≤a<1<b<1.1, N1 represents the number of scenes switched during the system analysis process, and NT represents the number of analysis cycles during the system analysis process.

[0047] Furthermore, the feedback correction module corrects the correction process of the cruising range of the next driving cycle according to the actual driving mileage and the actual total power consumption, wherein:

[0048] When U / P / [S / (Wa+Qa)]>b, the feedback correction module determines that the prediction of the cruising range is too high, and corrects the correction process of the cruising range of the next driving cycle. The corrected cruising range is S4, and S4=S3×S / (Wa+Ya) / (U / P);

[0049] When U / P / [S / (Wa+Qa)]<a, the feedback correction module determines that the prediction of the cruising range is too low, and corrects the correction process of the cruising range of the next driving cycle. The corrected cruising range is S4, and S4=S3×S / (Wa+Ya) / (U / P);

[0050] Among them, U represents the actual mileage, P represents the actual total power consumption, Wa represents the power generation that can be provided when the car is started, and Qa represents the remaining power when the car is started.

[0051] Compared with the prior art, the beneficial effects of the present invention are that the information acquisition module acquires the driving information, battery information, engine operation information, engine parameter information, load, remaining fuel and tire pressure of the hybrid vehicle to improve the accuracy of data acquisition, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and the accuracy of the analysis; the driving analysis module analyzes the driving information to analyze the vehicle's driving state and the driver's driving habits, thereby realizing the analysis of the vehicle's driving environment and the driver's personal operating habits, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and the accuracy of the analysis; the engine analysis module analyzes the engine parameter information and the remaining fuel to analyze the periodic power generation and the available power generation, thereby realizing the system's comprehensive analysis of the engine's power generation, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and the accuracy of the analysis; the battery analysis module analyzes the battery information to analyze the power consumption, and optimizes the power consumption analysis process according to the driving habits, thereby realizing the influence of the driver's operation on the power consumption, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and the accuracy of the analysis. The accuracy of the analysis is improved by analyzing the driving information, the power generation and the power consumption provided by the cruising range prediction module to analyze the cruising range, so that the cruising range is related to multiple factors, increasing the diversity of the system's cruising range analysis, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and improving the accuracy of the analysis. The adjustment and optimization module analyzes the engine operation information, the periodic power generation and the power consumption to analyze the power situation of the vehicle and realize the analysis of the vehicle's power supply mode, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and improving the accuracy of the analysis. The whole optimization module analyzes the power condition, tire pressure, load and driving status to adjust, optimize and correct the analysis process of the cruising range, considers the influence of various factors on the cruising range, improves the diversity of the analysis data, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and the accuracy of the analysis. The feedback correction module analyzes the actual mileage and actual power consumption to correct the correction process of the cruising range of the next driving cycle, verify the accuracy of the cruising range prediction, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and the accuracy of the analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a structural block diagram of the hybrid vehicle range prediction system of this embodiment;

[0053] Figure 2 is a structural block diagram of the driving analysis module of this embodiment;

[0054] Figure 3 is a structural block diagram of the battery analysis module of this embodiment;

[0055] Figure 4 This is a structural block diagram of the adjustment and optimization unit in this embodiment. DETAILED DESCRIPTION

[0056] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0057] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0058] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0059] See also Figure 1 The above is a hybrid vehicle range prediction system in this embodiment, comprising:

[0060] An information acquisition module is used to periodically acquire driving information, battery information, engine operation information, engine parameter information, load, remaining fuel and tire pressure of a hybrid electric vehicle. The hybrid electric vehicle is a range-extended electric vehicle. The driving information includes driving speed, braking distance and throttle distance. The driving speed is the speed of the vehicle per second in a cycle. The braking distance indicates the driving distance of the vehicle when the driver steps on the brake pedal. The throttle distance indicates the driving distance of the vehicle when the driver steps on the accelerator pedal. The battery information includes remaining power, battery capacity and battery temperature. The engine operation information refers to the intervention of the engine. The engine parameter information includes engine displacement, engine speed and engine conversion rate. The driving speed, battery information, engine operation information, engine parameter information, load, remaining fuel and tire pressure are acquired by importing data in the vehicle management system. In this embodiment, the cycle is 5 minutes. In this embodiment, the setting of the cycle is not specifically limited. Those skilled in the art can freely set it, such as 1 minute, 3 minutes and 10 minutes. Reducing the setting of the cycle can increase the accuracy of system analysis. The setting of the cycle should meet the requirement of being less than or equal to 15 minutes.

[0061] A driving analysis module, used for analyzing the driving state of the vehicle and the driving habits of the driver according to the driving information, the driving analysis module being connected to the information acquisition module, the driving state including continuous driving and congested driving, and the driving habits including common sliding and common emergency stops;

[0062] An engine analysis module, used to analyze the periodic power generation according to the engine parameter information, and to analyze the available power generation according to the remaining fuel amount and the engine parameter information, the engine analysis module being connected to the driving analysis module;

[0063] A battery analysis module, used to analyze power consumption according to battery information and driving habits, the battery analysis module being connected to the engine analysis module;

[0064] A cruising range prediction module, used to analyze the cruising range according to driving information, available power generation and power consumption, and also used to output the cruising range, the cruising range prediction module is connected to the battery analysis module;

[0065] an adjustment and optimization module, for adjusting and optimizing the analysis process of the cruising range according to the engine operation information, the periodic power generation, the power consumption, the tire pressure, the load and the driving state, the adjustment and optimization module is connected to the cruising range prediction module, the power conditions include battery direct drive, power generation and drive and charging and drive, the power generation and drive means that the periodic power generation is all used to drive the vehicle, the charging and drive means that part of the periodic power generation is used to drive the vehicle and part is used to charge the battery;

[0066] The feedback correction module is used to obtain the actual mileage and actual total power consumption during the driving cycle of the hybrid vehicle, and to correct the correction process of the cruising range of the next driving cycle according to the actual mileage and actual total power consumption. The feedback correction module is connected to the adjustment optimization module. The feedback correction module is connected to the adjustment optimization module. The driving cycle refers to the time taken by the vehicle from starting to start driving to shutting down.

[0067] See also Figure 2 The driving analysis module comprises:

[0068] A state analysis unit, used to analyze the driving state of the vehicle according to the driving speed;

[0069] The habit analysis unit is used to analyze the driving habit according to the driving speed, braking distance and throttle distance, and the habit analysis unit is connected to the state analysis unit.

[0070] See also Figure 3 The battery analysis module comprises:

[0071] A power consumption analysis unit for analyzing power consumption according to the remaining power;

[0072] A power consumption adjustment unit, used to adjust the power consumption analysis process according to the battery temperature, the power consumption adjustment unit being connected to the power consumption analysis unit;

[0073] The power consumption optimization unit is used to optimize the power consumption adjustment process according to driving habits, and the power consumption optimization unit is connected to the power consumption adjustment unit.

[0074] See also Figure 4 Said adjustment and optimization unit comprises:

[0075] Power analysis unit, used to analyze the power situation based on engine parameter information, cycle power generation and power consumption;

[0076] A cruising range adjustment unit, used to adjust the cruising range analysis process according to the power situation, and the cruising range adjustment unit is connected to the power analysis unit;

[0077] A cruising range optimization unit, used for optimizing the adjustment process of cruising range according to tire pressure, load and driving state, and the cruising range optimization unit is connected to the cruising range adjustment unit;

[0078] The cruising range correction unit is used to correct the cruising range optimization process according to the driving state of the current cycle and the driving state of the previous cycle. The cruising range correction unit is connected to the cruising range optimization unit.

[0079] Specifically, in this embodiment, the information acquisition module acquires the driving information, battery information, engine operation information, engine parameter information, load, remaining fuel and tire pressure of the hybrid vehicle to improve the accuracy of data acquisition, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and the accuracy of the analysis. The driving analysis module analyzes the driving information to analyze the vehicle's driving state and the driver's driving habits, thereby realizing the analysis of the vehicle's driving environment and the driver's personal operating habits, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and the accuracy of the analysis. The engine analysis module analyzes the engine parameter information and the remaining fuel to analyze the periodic power generation and the available power generation, thereby realizing the system's comprehensive analysis of the engine's power generation, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and the accuracy of the analysis. The battery analysis module analyzes the battery information to analyze the power consumption, and optimizes the power consumption analysis process according to the driving habits, thereby realizing the influence of the driver's operation on the power consumption, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and the accuracy of the analysis. The cruising range prediction module analyzes the driving information, the power generation and the power consumption to analyze the cruising range, so that the cruising range is related to multiple factors, and the diversity of the cruising range analysis of the system is increased, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and improving the accuracy of the analysis. The adjustment and optimization module analyzes the engine operation information, the periodic power generation and the power consumption to analyze the power situation of the vehicle and realize the analysis of the vehicle's power supply mode, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and improving the accuracy of the analysis. The analysis module analyzes the power condition, tire pressure, load and driving status to adjust, optimize and correct the analysis process of the cruising range, considers the influence of various factors on the cruising range, improves the diversity of the analysis data, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and the accuracy of the analysis; the feedback correction module analyzes the actual mileage and the actual power consumption to correct the correction process of the cruising range of the next driving cycle, verify the accuracy of the cruising range prediction, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and the accuracy of the analysis.

[0080] Specifically, the state analysis unit in this embodiment calculates the average driving speed of the vehicle within the driving speed period, compares the average driving speed with the speed threshold, and analyzes the driving state according to the comparison result, wherein:

[0081] When V<v and When the state analysis unit determines that the driving state is congested driving;

[0082] When V ≥ v and When the state analysis unit determines that the driving state is continuous driving;

[0083] Wherein, V represents the average driving speed, and V=(V1+V2+...+Vi) / i is set, V1 represents the driving speed in the first second of the cycle, V2 represents the driving speed in the second second of the cycle, Vi represents the driving speed in the last second of the cycle, i represents the number of each second in the cycle, i={i∈T×60|i∈N +}, T represents the value of the period, v represents the speed threshold, and its value range is 10≤v≤20. It can be understood that the value of the speed threshold is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as it meets the judgment of the driving state. The optimal value of the speed threshold is: v=15.

[0084] Specifically, in this embodiment, the state analysis unit analyzes the driving speed to determine the driving state, and the driving state is used to represent the driving environment of the vehicle during driving, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and improving the accuracy of the analysis.

[0085] Specifically, the habit analysis unit in this embodiment analyzes the driving habit according to the driving speed, braking distance and throttle distance, wherein:

[0086] when When L1 / (L1+L2)>L2 / (V×T×60), the habit analysis unit determines that the driving habit is common gliding;

[0087] when and when L2 / (L1+L2)<L2 / (V×T×60), the habit analysis unit determines that the driving habit is a habit of emergency stop;

[0088] Among them, L1 represents the braking distance, and L2 represents the throttle distance.

[0089] Specifically, in this embodiment, the habit analysis unit analyzes the driving speed, braking distance and throttle distance to analyze the driving habits and analyze the driver's driving operations during the driving process, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and improving the accuracy of the analysis.

[0090] Specifically, the engine analysis module in this embodiment calculates the periodic power generation according to the engine displacement, engine speed and engine conversion rate through the periodic power generation formula. The engine analysis module is provided with a periodic power generation formula as follows:

[0091] w=0.38×f×n×η×T

[0092] Among them, w represents the periodic power generation, f represents the engine displacement, n represents the engine speed, and η represents the engine conversion rate.

[0093] Specifically, the engine analysis module in this embodiment can provide power generation according to the remaining fuel amount and the engine conversion rate through the total power generation formula. The engine analysis module is provided with a total power generation formula as follows:

[0094] W=33×K×η

[0095] Among them, W represents the available power generation and K represents the remaining fuel.

[0096] Specifically, the power consumption analysis unit in this embodiment analyzes the power consumption R according to the remaining power, and sets R=Q1-Qi, wherein Q1 represents the remaining power in the first second of the cycle, and Qi represents the remaining power in the last second of the cycle.

[0097] Specifically, the power consumption adjustment unit in this embodiment adjusts the power consumption analysis process according to the battery temperature, wherein:

[0098] when And Yi / Y>Y / Y1 or When Yi>Y1, the power consumption adjustment unit determines that the temperature rises, and adjusts the power consumption analysis process. The adjusted power consumption is R1, and R1=R×e (Yi-Y1) / 10 ;

[0099] when When y1<Y<y2 and Yi / Y≤Y / Y1, the power consumption adjustment unit determines that the temperature is appropriate and does not adjust the power consumption analysis process;

[0100] Wherein, Y represents the average battery temperature, and Y=(Y1+Y2+...+Yi) / i is set, Y1 represents the battery temperature of the first second in the cycle, Y2 represents the battery temperature of the second second in the cycle, Yi represents the battery temperature of the last second in the cycle, y1 represents the first temperature threshold, 15≤y1≤25, y2 represents the second temperature threshold, 30≤y2≤40. It can be understood that in this embodiment, the value of the temperature threshold is not specifically limited, and those skilled in the art can freely set it as long as the adjustment of power consumption is satisfied. The optimal value of the temperature threshold is: y1=20, y2=35.

[0101] Specifically, in this embodiment, the power consumption adjustment unit analyzes the battery temperature to adjust the power consumption analysis process so that the power consumption is related to the change of battery temperature, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and improving the accuracy of the analysis.

[0102] Specifically, the power consumption optimization unit in this embodiment optimizes the power consumption adjustment process according to driving habits, wherein:

[0103] When the driving habit is common gliding, the power consumption optimization unit does not optimize the adjustment process of power consumption;

[0104] When the driving habit is to make an emergency stop, the power consumption optimization unit optimizes the power consumption adjustment process, and the optimized power consumption is R2, and R2=R1×log L2 / (L1+L2) [L2 / (V×T×60)].

[0105] Specifically, in this embodiment, the power consumption optimization unit analyzes driving habits to optimize the power consumption adjustment process, so that the power consumption is related to driving habits. When the user often makes incorrect operations, the power consumption is optimized, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and improving the accuracy of the analysis.

[0106] Specifically, the cruising range prediction module in this embodiment calculates the cruising range according to the driving speed, the power generation available and the power consumption through the cruising range prediction formula. The cruising range prediction module is provided with a cruising range prediction formula as follows:

[0107] S=V×T×60×W / R

[0108] Among them, S represents the range.

[0109] Specifically, the power analysis unit in this embodiment analyzes the power situation according to the engine operation information, periodic power generation and power consumption, wherein:

[0110] When the engine operation information indicates that the engine is not involved, the power analysis unit determines that the power situation is battery direct drive;

[0111] When the engine operation information is engine intervention and w≤R, the power analysis unit determines that the power situation is power generation and driving;

[0112] When the engine operation information is engine intervention and w>R, the power analysis unit determines that the power situation is charging and driving.

[0113] Specifically, in this embodiment, the power analysis unit analyzes the engine information, periodic power generation and power consumption to analyze the power situation and the destination of the electricity generated by the engine, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and improving the accuracy of the analysis.

[0114] Specifically, the cruising range adjustment unit in this embodiment adjusts the cruising range analysis process according to the power situation, wherein:

[0115] When the power situation is battery direct drive or power generation and drive, the cruising range adjustment unit does not adjust the cruising range analysis process;

[0116] When the power situation is charging and driving, the cruising range adjustment unit adjusts the analysis process of the cruising range, and the adjusted cruising range is S1, and S1=S×[1-(wR)×α / R] is set;

[0117] Among them, α is the charging loss rate, and its value range is: 0.05≤α≤0.06. It can be understood that the value of the charging loss rate is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as it meets the adjustment of the cruising range. The optimal value of the charging loss rate is: α=0.05.

[0118] Specifically, in this embodiment, the cruising range adjustment unit analyzes the power situation to adjust the cruising range so that the cruising range is related to the power loss for charging the battery, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and improving the accuracy of the analysis.

[0119] Specifically, the cruising range optimization unit in this embodiment optimizes the adjustment process of the cruising range according to the tire pressure, load and driving state, wherein:

[0120] When the driving state is continuous driving, the cruising range optimization unit does not optimize the adjustment process of the cruising range;

[0121] When the driving state is congestion driving, the cruising range optimization unit optimizes the adjustment process of the cruising range, and the optimized cruising range is S2, and S2=S1 / [1+(2.5-H) / 125]×log H×10 (Nv×M);

[0122] Wherein, H represents tire pressure, M represents load, Nv represents the number of times the vehicle starts in a cycle, and the endurance optimization unit counts the number of times in the cycle Vi×V(i+1)=0 and Vi+V(i+1)>0 as the number of times the vehicle starts.

[0123] Specifically, in this embodiment, the cruising range optimization unit analyzes tire pressure, load and driving status to optimize the cruising range, so that the optimized cruising range is related to the power loss caused by frequent starting of the car in a short period of time, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and improving the accuracy of the analysis.

[0124] Specifically, the cruising range correction unit of this embodiment compares the driving state of the current cycle with the driving state of the previous cycle, and corrects the cruising range optimization process according to the comparison result, wherein:

[0125] When the driving state of the current cycle is the same as the driving state of the previous cycle, the cruising range correction unit determines that the scene is not switched and does not correct the cruising range optimization process;

[0126] When the driving state of the current cycle is different from the driving state of the previous cycle, the cruising range correction unit determines that the scene has been switched, and corrects the cruising range optimization process. The corrected cruising range is S3, and S3=S2×a is set. N1 ×b NT ;

[0127] Wherein, a represents the first correction coefficient, b represents the second correction coefficient 0.9≤a<1<b<1.1, N1 represents the number of times the scene has been switched during the system analysis process, and NT represents the number of analysis cycles during the system analysis process. It can be understood that the value of the correction coefficient is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as the correction of the cruising range is satisfied. The optimal values ​​of the correction coefficient are: a=0.95, b=1.05.

[0128] Specifically, in this embodiment, the cruising range correction unit analyzes the driving status of the current cycle and the previous cycle to correct the cruising range, so that the cruising range is related to the frequent scene switching during the driving of the car, thereby improving the system's analysis efficiency of the hybrid vehicle's cruising range and improving the accuracy of the analysis.

[0129] Specifically, the feedback correction module in this embodiment corrects the correction process of the cruising range of the next driving cycle according to the actual driving mileage and the actual total power consumption, wherein:

[0130] When U / P / [S / (Wa+Qa)]>b, the feedback correction module determines that the prediction of the cruising range is too high, and corrects the correction process of the cruising range of the next driving cycle. The corrected cruising range is S4, and S4=S3×S / (Wa+Ya) / (U / P);

[0131] When U / P / [S / (Wa+Qa)]<a, the feedback correction module determines that the prediction of the cruising range is too low, and corrects the correction process of the cruising range of the next driving cycle. The corrected cruising range is S4, and S4=S3×S / (Wa+Ya) / (U / P);

[0132] Among them, U represents the actual mileage, P represents the actual total power consumption, Wa represents the power generation that can be provided when the car is started, and Qa represents the remaining power when the car is started.

[0133] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments described in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A hybrid vehicle range prediction system, characterized in that: include: An information acquisition module, used to periodically acquire the driving information, battery information, engine operation information, engine parameter information, load, remaining fuel and tire pressure of the hybrid vehicle; A driving analysis module is used to analyze the driving status of the car and the driving habits of the driver based on the driving information; An engine analysis module is used to analyze the periodic power generation according to the engine parameter information, and to analyze the available power generation according to the remaining fuel amount and the engine parameter information; Battery analysis module, used to analyze power consumption based on battery information and driving habits; A cruising range prediction module is used to analyze the cruising range based on driving information, available power generation and power consumption, and is also used to output the cruising range; Adjustment and optimization module, used to adjust and optimize the analysis process of cruising range based on engine operation information, cycle power generation, power consumption, tire pressure, load and driving status; The feedback correction module is used to obtain the actual mileage and actual total power consumption during the driving cycle of the hybrid vehicle, and to correct the correction process of the cruising range of the next driving cycle according to the actual mileage and actual total power consumption.

2. The hybrid vehicle range prediction system according to claim 1, characterized in that: The driving analysis module is provided with a state analysis unit, which is used to calculate the average driving speed of the car in a period according to the driving speed, and compare the average driving speed with the speed threshold, and analyze the driving state according to the comparison result, wherein: When V<v and When the state analysis unit determines that the driving state is congested driving; When V ≥ v and When the state analysis unit determines that the driving state is continuous driving; Wherein, V represents the average driving speed, and V=(V1+V2+...+Vi) / i is set, V1 represents the driving speed in the first second of the cycle, V2 represents the driving speed in the second second of the cycle, Vi represents the driving speed in the last second of the cycle, i represents the number of each second in the cycle, i={i∈T×60|i∈N + }, T represents the value of the period, v represents the speed threshold, and its value range is 10≤v≤20.

3. The hybrid vehicle range prediction system according to claim 2, characterized in that: The driving analysis module is provided with a habit analysis unit, which is used to analyze driving habits according to driving speed, braking distance and throttle distance, wherein: when When L1 / (L1+L2)>L2 / (V×T×60), the habit analysis unit determines that the driving habit is common gliding; when When L2 / (L1+L2)<L2 / (V×T×60), the habit analysis unit determines that the driving habit is a habit of emergency stop.

4. The hybrid vehicle range prediction system according to claim 3, characterized in that: The battery analysis module is provided with a power consumption analysis unit, which is used to analyze the power consumption R according to the remaining power, and set R=Q1-Qi, wherein Q1 represents the remaining power in the first second of the cycle, and Qi represents the remaining power in the last second of the cycle.

5. The hybrid vehicle range prediction system according to claim 4, characterized in that: The battery analysis module is also provided with a power consumption adjustment unit, which is used to adjust the power consumption analysis process according to the battery temperature, wherein: when And Yi / Y>Y / Y1 or When Yi>Y1, the power consumption adjustment unit determines that the temperature rises, and adjusts the power consumption analysis process. The adjusted power consumption is R1, and R1=R×e (Yi-Y1) / 10 ; when When y1<Y<y2 and Yi / Y≤Y / Y1, the power consumption adjustment unit determines that the temperature is appropriate and does not adjust the power consumption analysis process; Wherein, Y represents the average battery temperature, and Y=(Y1+Y2+...+Yi) / i is set, Y1 represents the battery temperature in the first second of the cycle, Y2 represents the battery temperature in the second second of the cycle, Yi represents the battery temperature in the last second of the cycle, y1 represents the first temperature threshold, 15≤y1≤25, y2 represents the second temperature threshold, 30≤y2≤40; The battery analysis module is also provided with a power consumption optimization unit, which is used to optimize the power consumption adjustment process according to driving habits, wherein: When the driving habit is common gliding, the power consumption optimization unit does not optimize the adjustment process of power consumption; When the driving habit is to make an emergency stop, the power consumption optimization unit optimizes the power consumption adjustment process, and the optimized power consumption is R2, and R2=R1×log L2 / (L1+L2) [L2 / (V×T×60)].

6. The hybrid vehicle range prediction system according to claim 5, characterized in that: The cruising range prediction module calculates the cruising range according to the driving speed, the power generation available and the power consumption through the cruising range prediction formula. The cruising range prediction module is provided with a cruising range prediction formula as follows: S=V×T×60×W / R Among them, S represents the range.

7. The hybrid vehicle range prediction system according to claim 6, characterized in that: The adjustment and optimization module is provided with a power analysis unit, which is used to analyze the power situation according to the engine operation information, periodic power generation and power consumption, wherein: When the engine operation information indicates that the engine is not involved, the power analysis unit determines that the power situation is battery direct drive; When the engine operation information is engine intervention and w≤R, the power analysis unit determines that the power situation is power generation and driving; When the engine operation information is engine intervention and w>R, the power analysis unit determines that the power situation is charging and driving; The adjustment and optimization module is provided with a cruising range adjustment unit, which is used to adjust the cruising range analysis process according to the power situation, wherein: When the power situation is battery direct drive or power generation and drive, the cruising range adjustment unit does not adjust the cruising range analysis process; When the power situation is charging and driving, the cruising range adjustment unit adjusts the analysis process of the cruising range, and the adjusted cruising range is S1, and S1=S×[1-(wR)×α / R] is set; Among them, α is the charging loss rate, and its value range is: 0.05≤α≤0.

06.

8. The hybrid vehicle range prediction system according to claim 7, characterized in that: The adjustment and optimization module is also provided with a cruising range optimization unit, which is used to optimize the adjustment process of the cruising range according to the tire pressure, load and driving state, wherein: When the driving state is continuous driving, the cruising range optimization unit does not optimize the adjustment process of the cruising range; When the driving state is congestion driving, the cruising range optimization unit optimizes the adjustment process of the cruising range, and the optimized cruising range is S2, and S2=S1 / [1+(2.5-H) / 125]×log H×10 (Nv×M); Wherein, H represents tire pressure, M represents load, Nv represents the number of times the vehicle starts in a cycle, and the endurance optimization unit counts the number of times in the cycle Vi×V(i+1)=0 and Vi+V(i+1)>0 as the number of times the vehicle starts.

9. The hybrid vehicle range prediction system according to claim 8, characterized in that: The adjustment and optimization module is also provided with a cruising range correction unit, which is used to compare the driving state of the current cycle with the driving state of the previous cycle, and correct the cruising range optimization process according to the comparison result, wherein: When the driving state of the current cycle is the same as the driving state of the previous cycle, the cruising range correction unit determines that the scene is not switched and does not correct the cruising range optimization process; When the driving state of the current cycle is different from the driving state of the previous cycle, the cruising range correction unit determines that the scene has been switched, and corrects the cruising range optimization process. The corrected cruising range is S3, and S3=S2×a is set. N1 ×b NT ; Wherein, a represents the first correction coefficient, b represents the second correction coefficient, 0.9≤a<1<b<1.1, N1 represents the number of scenes switched during the system analysis process, and NT represents the number of analysis cycles during the system analysis process.

10. The hybrid vehicle range prediction system according to claim 9, characterized in that: The feedback correction module corrects the correction process of the cruising range of the next driving cycle according to the actual driving mileage and the actual total power consumption, wherein: When U / P / [S / (Wa+Qa)]>b, the feedback correction module determines that the prediction of the cruising range is too high, and corrects the correction process of the cruising range of the next driving cycle. The corrected cruising range is S4, and S4=S3×S / (Wa+Ya) / (U / P); When U / P / [S / (Wa+Qa)]<a, the feedback correction module determines that the prediction of the cruising range is too low, and corrects the correction process of the cruising range of the next driving cycle. The corrected cruising range is S4, and S4=S3×S / (Wa+Ya) / (U / P); Among them, U represents the actual mileage, P represents the actual total power consumption, Wa represents the power generation that can be provided when the car is started, and Qa represents the remaining power when the car is started.

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