A control method for actively managing different driving modes of a hybrid vehicle

Abstract

This invention discloses a control method for actively managing different driving modes of a hybrid electric vehicle, which includes the following steps: ① When the driver gets into the vehicle for the first time, the initial driving mode is usually ECO. The driving mode for subsequent drives is EEPROM mode. After power-off, the system only stores the ECO and Normal modes, while the Sport mode is not stored. This overcomes the shortcomings of existing technologies where drivers use Sport mode relatively less frequently than the other two modes in real life. Current solutions that only record the last Sport mode saved by the driver may not meet the driver's expectations. This method has the advantage of actively learning the frequency of the driver's use of intelligent driving modes and combining it with the driver's driving habits to make pop-up prompts at reasonable times, avoiding repeated pop-ups that would worsen the driver's experience.

Description

Technical Field

[0001] This invention relates to the technical field of automobile driving, and more specifically to a control method for actively managing different driving modes of a hybrid electric vehicle. Background Technology

[0002] For hybrid vehicles, most owners do not use the driving modes (ECO, Normal, Sport) very often. This is mainly because most owners are not familiar with the functions of the driving modes and are not clear about the usage scenarios of the driving modes. They basically just use a default mode.

[0003] The driver is given the option to choose an intelligent management mode through multimedia (pad or other display screen). Once in intelligent mode, the vehicle controller actively manages the driving mode by analyzing the driver's intentions and the current driving conditions of the vehicle.

[0004] Ecomode: This is actually an energy-saving mode, also known as an economy mode. When this mode is activated, the engine operates in a more fuel-efficient manner. Fuel consumption is lowest at this time, but power is also weakest, and the accelerator pedal response is slowest. This mode is typically suitable for use in congested city traffic and when maintaining low speeds.

[0005] Normal mode: This is the car's default driving mode, also known as standard driving mode. Driving in this mode offers a comfortable and simple driving experience. It balances vehicle performance with fuel economy. Normal mode is generally suitable for city driving.

[0006] Sport mode: This mode increases the engine's fuel injection volume and delays upshifts to obtain strong high torque and high power, resulting in superior vehicle performance. This mode is generally used for driving on muddy roads and mountain roads.

[0007] For hybrid vehicles, most manufacturers set the user's driving mode selection (ECO, Normal, Sport) by defaulting to ECO mode upon power-on or saving the selected mode to EEPROM upon power-off. This method cannot reflect the driver's real-time switching needs during driving.

[0008] Or, when restarting, if the road conditions are different from those saved in the previous EEPROM (storage) mode,

[0009] In particular, some drivers need to use Sport when overtaking, and ECO / Normal for normal driving.

[0010] Furthermore, in real life, drivers do not use Sport mode as frequently as the other two modes. If the current solution only records the last Sport mode saved by the driver, it may not meet the driver's expectations.

[0011] Therefore, a new intelligent control mode is urgently needed to overcome the above problems. Summary of the Invention

[0012] The purpose of this invention is to overcome the shortcomings of the above-mentioned background technology and to propose a control method for actively managing different driving modes of hybrid electric vehicles, which selects the appropriate driving mode based on the current real-time operating conditions of the vehicle.

[0013] The objective of this invention is achieved through the following technical solution: a control method for actively managing different driving modes of a hybrid electric vehicle, comprising the following steps;

[0014] Step 1: When the driver gets into the car for the first time, the initial driving mode is usually ECO. The driving mode used for the next drive is EEPROM mode. The system only stores the ECO and Normal modes after power-off, while the Sport mode is not stored after power-off.

[0015] Step 2: The intelligent driving mode cannot be entered by pressing a button. In the Ready state, the vehicle controller determines whether the driver has a strong driving request by learning the driver's operation and analyzing the real-time operating conditions.

[0016] Step 3: Based on the driver's aggressive driving condition and the driver's request to switch driving modes as identified by the vehicle controller, the vehicle controller determines the intelligent driving mode activation flag. Once the activation flag is met, a pop-up window is sent to the driver via the vehicle's built-in display screen for selection. If the driver selects YES, the intelligent driving mode is entered.

[0017] Step 4: When the vehicle enters the intelligent driving mode, the vehicle controller will switch the corresponding driving mode by recognizing the current driving conditions and the driver's operation.

[0018] In the above technical solution: In step 2, in the Ready state, the vehicle controller learns the driver's operation, including the driver's accelerator pedal habit and the driver's brake pedal habit.

[0019] In the above technical solution, the learning of the driver's accelerator pedal habits includes the following specific steps;

[0020] ① Deep learning is performed on the driver's accelerator under all driving conditions. The average depth of the accelerator is calculated during the driving process. The average depth of the driver pressing the accelerator is learned. AcceV: Familiar with the driver's driving habits and the depth of pressing the accelerator.

[0021] Ready state met, D gear, vehicle speed > Throttle opening ≥ Integrating the throttle input at the same time ---Formula①

[0022] ----Enter the preset value for self-learning logic judgment;

[0023] ----Average throttle opening under driving conditions;

[0024] Acce ---- Real-time throttle opening;

[0025] ----Correction factor;

[0026] ----Termination time when conditions are not met;

[0027] ----The start time when the conditions are met;

[0028] ② Correct the average logic for calculating the driver's throttle input. The calculation logic is as follows: the vehicle speed is divided into four intervals according to the WLTC operating conditions, namely low speed, medium speed, high speed and ultra-high speed. Under the condition of satisfying the calculation of throttle opening, the average vehicle speed is calculated, and different correction coefficients are obtained by looking up the table intervals based on the average vehicle speed.

[0029] The logic for calculating average vehicle speed is as follows: ---Formula② ---Formula③...... ---Formula ④ is passed Get from table Combining formulas ①, ②, ③, and ④, the average depth of the driver pressing the accelerator, AcceV, can be calculated.

[0030] In the above technical solution: learning the driver's braking habits includes...

[0031] Deep learning is used to study the driver's braking under all driving conditions, and the average braking depth BrkV of the driver is learned.

[0032] Ready state met, D gear, vehicle speed > Brake opening ≥ Integrate the brake opening; ;

[0033] ----Average brake opening under driver's driving conditions;

[0034] Brk ---- Real-time brake opening;

[0035] ----Termination time when conditions are not met;

[0036] ----The start time when the conditions are met.

[0037] In the above technical solution: In the Ready state, the vehicle controller judges whether the driver has a request for aggressive driving based on the real-time operating conditions. This includes the vehicle controller judging the preconditions for aggressive driving by the driver, judging aggressive driving by the throttle opening, and judging aggressive driving by the brake opening.

[0038] In the above technical solution: the vehicle controller needs to meet the following conditions to determine that the driver is driving aggressively: Ready state, D gear, vehicle speed > The driving mode is not Sport mode and has not been switched.

[0039] In the above technical solution: judging the driver's aggressive driving by the throttle opening includes:

[0040] When the driver's real-time throttle opening is satisfied Afterwards, the driver's aggressive driving detection was triggered. ,when The driver was then stopped from engaging in aggressive driving tests. ;

[0041] The calibration logic is to assign values ​​to low speed, medium speed, high speed and ultra-high speed segments according to different WLTC speeds. The calibration logic is as follows: based on the average throttle opening under normal driving conditions at different speed ranges of the WRLC, the average throttle opening is calculated extensively by simulation software to obtain the calibrated throttle opening data parameters for different speed ranges.

[0042] In the above technical solution: judging the driver's aggressive driving by the brake opening includes: when the driver's real-time brake opening is met. Afterwards, the driver's aggressive driving detection was triggered. ,when The driver was then stopped from engaging in aggressive driving tests. ; The calibration data parameters for the calibrated pedal depth at different speed ranges are obtained by using simulation software to calculate the average depth of the pedal under normal driving conditions at different speed ranges of WLTC.

[0043] In the above technical solution: if No is selected, the intelligent driving mode will not be activated until the pop-up window conditions are met again;

[0044] ① The vehicle controller recognizes the driver's aggressive driving state and switches from invalid to valid to count. The driver's aggressive driving state changed from an effective count to an invalid count. The system identifies and counts instances where drivers require switching to Sport mode. The driver did not select the intelligent driving mode. Identify the significant number expected by the driver. ; These are the weighting coefficients for different driving expectations, representing the proportion of the driver's expected thoughts;

[0045] When satisfied The vehicle controller determines when the intelligent driving mode flag is activated; among which... This indicates the threshold for pop-up windows that the driver can accept;

[0046] Each time after power off and on Reset the system to zero;

[0047] ② After the vehicle controller determines that the intelligent driving mode flag is activated, the vehicle controller sends a pop-up request to the vehicle's built-in display screen. The pop-up will automatically close after 30 seconds.

[0048] ③ If the driver selects YES, the intelligent driving mode will be activated. If the driver selects No or does not make a selection, it will be assumed that the driver does not need to switch to the intelligent driving mode.

[0049] ④ If the current driving mode is intelligent driving mode, the driver can exit this mode by pressing the corresponding button for Eco / Nor / Spt, or by turning off the power.

[0050] In the above technical solution: after entering intelligent driving mode, the vehicle controller will switch the corresponding driving mode by recognizing the current driving conditions and the driver's operations.

[0051] C. Logic for determining if driving mode has switched to Sport:

[0052] ① The vehicle is in Ready state, in Drive (D) gear, and the speed is > And the driver's actual throttle opening With the calculated average throttle opening The difference is greater than or equal to the calibrated throttle opening obtained from the vehicle speed. Driving mode switched to Sport calibration is effective; ;

[0053] ② The vehicle is not in Ready mode, not in Drive mode, or the vehicle speed is 0, or the driver's actual throttle opening is... A value of 0 indicates that switching the driving mode to Sport has no effect on calibration.

[0054] ③ After switching the driving mode to Sport, switch back to Sport mode if the calibration is effective; otherwise, exit Sport mode.

[0055] D. Logic for determining if the driving mode has switched to Eco:

[0056] ① The vehicle is in Ready state, in Drive (D) gear, and the speed is > And the driver's brake opening Greater than the calculated average throttle opening Driving mode switched to Eco, calibration is effective;

[0057] ② The vehicle is not in Ready mode, not in Drive mode, or the vehicle speed is 0, or the driver's actual throttle opening is... greater than average throttle opening And vehicle speed > Switching to Eco mode in driving mode does not resolve calibration issues.

[0058] ③ After switching to Eco mode, switch back to Eco mode if the Eco calibration is effective; otherwise, exit Eco mode.

[0059] ④ The requirement to switch between Sport mode and ECO mode is not met; the mode is Normal.

[0060] The present invention has the following advantages: 1. The present invention can learn the driver's operating habits by collecting data on the driver's accelerator or brake pedals, and at the same time, it can segment the vehicle speed under WLTC conditions through simulation and correct the driver's operating habits under different segments;

[0061] 2. This invention adds an intelligent driving mode that differs from the conventional driving modes (ECO, NORMAL, SPORT). It proactively helps the driver select the appropriate driving mode based on collected driving habits, enhancing the driver's driving pleasure.

[0062] 3. When selecting an intelligent driving mode, this invention combines the driver's expected driving habits and real-time driving habits to analyze whether the driver has a need for aggressive driving, and provides the driver with a new mode selection through human-computer interaction;

[0063] 4. This invention actively learns the frequency of the driver's use of the intelligent driving mode and combines this with the driver's driving habits to determine when to send pop-up prompts, avoiding repeated pop-ups that could worsen the driver's experience;

[0064] 5. This invention can effectively predict the driver's operating habits and match the appropriate driving mode under different working conditions. In particular, for many hybrid vehicles that now have more driving modes, it solves the problem that many car owners do not know how to use the correct driving mode. Attached Figure Description

[0065] Figure 1 This is a diagram illustrating the conditions for switching driving modes.

[0066] Figure 2 This is a schematic diagram illustrating the logic for determining aggressive driving.

[0067] Figure 3 The graph shows the curves for four different ways of pressing the accelerator.

[0068] Figure 4 This is a prompt message image displayed on the monitor.

[0069] Figure 5 A schematic diagram illustrating the logic for selecting intelligent driving modes. Detailed Implementation

[0070] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, these descriptions do not constitute a limitation of the present invention and are merely illustrative. The advantages of the present invention will become clearer and easier to understand through this description.

[0071] Reference Figure 1-5 As shown: Step 1: The initial driving mode upon first power-on of the vehicle is ECO. Subsequent power-on uses the EEPROM mode. Upon power-off, only ECO and Normal modes are stored; Sport mode is not stored. Figure 1 As shown.

[0072] Step 2: Intelligent driving mode cannot be entered via physical buttons. In the Ready state, the vehicle controller learns from the driver's actions and analyzes real-time operating conditions to determine if the driver has any aggressive driving requests. Figure 2 As shown.

[0073] A. Learning the driver's accelerator pedal habits:

[0074] a) The computational logic for throttle self-learning involves deep learning of the driver's throttle input under all driving conditions, learning the average depth of the driver's throttle input (AcceV): satisfying the READY state, D gear, and vehicle speed > (0.3km / h), throttle opening ≥ Integrate the throttle at (3%); ---Formula① ----Enter the preset value for self-learning logic judgment;

[0075] AcceV----The average throttle opening under the driver's driving conditions;

[0076] Acce ---- Real-time throttle opening;

[0077] ----Correction factor;

[0078] ----Termination time when conditions are not met;

[0079] ----The start time when the conditions are met;

[0080] b) Modify the average logic that satisfies the driver's throttle input. The calculation logic is as follows: the vehicle speed is divided into four intervals (low speed, medium speed, high speed and ultra-high speed) according to the WLTC operating conditions. The average vehicle speed is calculated under the condition of satisfying the calculation of throttle opening. Different correction coefficients are obtained by looking up the intervals in the table based on the average vehicle speed. The output logic for the correction coefficient p is to adjust it too low for low-speed conditions and too high for high-speed conditions; the average vehicle speed calculation logic is as follows: ---Formula② ---Formula③...... ---Formula ④ is passed Get from table Combining formulas ①, ②, ③, and ④, the average depth of the driver pressing the accelerator, AcceV, can be calculated.

[0081] B. Learning the driver's habit of applying the brakes:

[0082] The computational logic for brake self-learning involves deep learning of the driver's braking under all driving conditions, learning the average braking depth BrkV: satisfying the READY state, D gear, and vehicle speed > (10km / h), brake opening ≥ (0.5%) is integrated over the brake opening; ----Average brake opening under driver's driving conditions;

[0083] Brk ---- Real-time brake opening;

[0084] ----Termination time when conditions are not met;

[0085] ----The start time when the conditions are met;

[0086] C. The vehicle controller determines the preconditions for aggressive driving by the driver:

[0087] The conditions for detecting aggressive driving by drivers must be met in accordance with all the above conditions:

[0088] Ready mode, D gear, vehicle speed > (3km / h), driving mode is non-Sport mode and the mode has not been switched;

[0089] D. Judging aggressive driving by throttle opening

[0090] When the driver's real-time throttle opening is satisfied (Based on vehicle speed) triggers driver aggressive driving detection. ,when The driver was then stopped from engaging in aggressive driving tests. ;

[0091] The calibration logic is as follows: The calibration logic is as follows: like Figure 3 The diagram shows four different ways of pressing the accelerator: ① and ② represent full-throttle acceleration for overtaking with inconsistent durations; ③ represents intermittent throttle input; and ④ represents smooth acceleration. For judging driver intention, ④ is closer to the driving habits of most drivers. Through analysis... The calculations can determine that drivers ①②③ have a need for aggressive driving;

[0092] E. Judging aggressive driving by brake opening:

[0093] When the driver's real-time braking opening is met Afterwards, the driver's aggressive driving detection was triggered. ,when The driver was then stopped from engaging in aggressive driving tests. ; The calibration logic is as follows: Step 3: Based on the driver's aggressive driving condition and the driver's request to switch driving modes as identified by the vehicle controller, the vehicle controller determines the intelligent driving mode activation flag. Once the activation flag is met, a pop-up window is sent to the driver via the Pad for selection. If the driver selects YES, the intelligent driving mode is entered; if the driver selects No, the intelligent driving mode is not activated until the pop-up window conditions are met again.

[0094] A. The vehicle controller identifies the driver's aggressive driving state and switches from invalid to valid, then counts the changes. The driver's aggressive driving state changed from an effective count to an invalid count. The system identifies and counts instances where drivers require switching to Sport mode. The driver did not select the intelligent driving mode. Identify the significant number expected by the driver. These are the weighting coefficients for different driving expectations, representing the proportion of the driver's expected thoughts;

[0095] When satisfied The vehicle controller determines that the intelligent driving mode flag is activated.

[0096] in This indicates the threshold for pop-up windows that the driver can accept; it is displayed after each power cycle. Perform a reset;

[0097] B. After the vehicle controller determines that the intelligent driving mode flag is activated, it sends a pop-up request to the Pad. The pop-up closes automatically after 30 seconds. (Refer to...) Figure 4 As shown;

[0098] C. If the driver selects YES, the intelligent driving mode will be activated. If the driver selects No or does not make a selection, it will be assumed that the driver does not need to switch to the intelligent driving mode.

[0099] D. If the current driving mode is intelligent driving mode, the driver can exit this mode by pressing the corresponding button for Eco / Nor / Spt, or by turning off the power.

[0100] Step 4: After entering intelligent driving mode, the vehicle controller will switch the corresponding driving mode by recognizing the current driving conditions and the driver's operations: refer to... Figure 5 As shown;

[0101] E. Logic for determining whether driving mode has switched to Sport

[0102] a) The vehicle is in Ready state, in Drive gear, and the speed is > (0.3km / h) and the driver's actual throttle opening With the calculated average throttle opening The difference is greater than or equal to the calibrated throttle opening obtained from the vehicle speed. The driving mode has been switched to Sport and the calibration is now effective. ;

[0103] b) The vehicle is not in Ready mode, not in Drive mode, or the vehicle speed is 0, or the driver's actual throttle opening is... A value of 0 indicates that switching the driving mode to Sport has no effect on calibration.

[0104] c) After the driving mode is switched to Sport mode and the calibration is valid, the mode will switch to Sport mode; if the calibration is invalid, the mode will exit Sport mode.

[0105] F. Logic for determining if driving mode has switched to Eco.

[0106] a) The vehicle is in Ready state, in Drive gear, and the speed is > (0.3km / h) and driver's brake opening Greater than the calculated average throttle opening Driving mode switched to Eco, calibration is effective;

[0107] b) The vehicle is not in Ready mode, not in Drive mode, or the vehicle speed is 0, or (the driver's actual throttle opening) greater than average throttle opening And vehicle speed > (0.3km / h)), switching to Eco mode did not resolve the calibration issue;

[0108] c) After the driving mode is switched to Eco and the calibration is effective, the mode will switch back to Eco; if the calibration is ineffective, exit Eco mode.

[0109] G. The requirement to switch between Sport mode and ECO mode is not met; the mode is Normal.

[0110] Example 1:

[0111] Step 1: The initial driving mode upon first power-on of the vehicle is ECO. Subsequent power-on drives will use the mode stored after power-off. Only ECO and Normal modes are stored upon power-off; Sport mode is not stored. Figure 1 As shown.

[0112] Step 2: Intelligent driving mode cannot be entered via physical buttons. In Ready mode, the VCU learns from the driver's actions and combines this with real-time conditions to determine if the driver has any aggressive driving requests. Figure 2 As shown.

[0113] F. Learn the average accelerator pedal input by recording a large amount of data on drivers' accelerator pedal input:

[0114] a) The computational logic for throttle self-learning involves deep learning of the driver's throttle input under all driving conditions to learn the average depth (AcceV) of the driver's throttle input.

[0115] Ready state met, D gear, vehicle speed > (0.3km / h), throttle opening ≥ (3%) Integrate throttle input. ---Formula① ----Enter the preset value for self-learning logic judgment;

[0116] AcceV----The average throttle opening under the driver's driving conditions;

[0117] Acce ---- Real-time throttle opening;

[0118] ----Correction factor;

[0119] ----Termination time when conditions are not met;

[0120] ----The start time when the conditions are met;

[0121] b) Modify the average logic that satisfies the driver's throttle input. The calculation logic is as follows: the vehicle speed is divided into four intervals (low speed, medium speed, high speed and ultra-high speed) according to the WLTC operating conditions. Under the condition of satisfying the calculation of throttle opening, the average vehicle speed is calculated, and different correction coefficients are obtained by looking up the table of intervals based on the average vehicle speed. The output logic of the correction coefficient p is to make the correction too small for low-speed conditions and too large for high-speed conditions.

[0122] The logic for calculating average vehicle speed is as follows: ---Formula② ---Formula③...... ---Formula④

[0123] ---Average vehicle speed under the given conditions;

[0124] ---Real-time vehicle speed under current operating conditions;

[0125] ----Termination time when conditions are not met;

[0126] ----The start time when the conditions are met;

[0127] pass Get from table Combining formulas ①, ②, ③, and ④, the average depth of the driver pressing the accelerator, AcceV, can be calculated.

[0128] G. Learning the driver's habit of applying the brakes:

[0129] The computational logic for brake self-learning involves deep learning of the driver's braking under all driving conditions, learning the average braking depth BrkV: satisfying the READY state, D gear, and vehicle speed > (10km / h), brake opening ≥ (0.5%) is integrated over the brake opening; ;

[0130] ----Average brake opening under driver's driving conditions;

[0131] ----Real-time brake opening;

[0132] ----The start time when the conditions are met;

[0133] ----Termination time when conditions are not met;

[0134] H.VCU determines the prerequisites for a driver to engage in aggressive driving:

[0135] Ready state, in D gear, and vehicle speed > (3km / h) and the driving mode was not Sport mode and the mode was not switched;

[0136] I. Judging aggressive driving by the throttle opening;

[0137] When the driver's real-time throttle opening is satisfied (Based on vehicle speed) triggers driver aggressive driving detection. ,when The driver was then stopped from engaging in aggressive driving tests. ;

[0138] The calibration logic is as follows: ---Formula⑤ ----Average throttle opening that triggers aggressive driving;

[0139] ----- Triggers driver aggressive driving detection;

[0140] ----Stop testing drivers for aggressive driving;

[0141] ----Real-time throttle opening;

[0142] ----Average throttle opening calculated using big data analysis;

[0143] When the average throttle opening that triggers aggressive driving is met The VCU (Vehicle Control Unit) uses the throttle input to determine if the driver desires aggressive driving. The calibration values ​​(based on big data analysis of commonly used throttle openings at different speeds under WLTC conditions) are as follows: like Figure 3 As shown, these represent four different ways of pressing the accelerator: ① and ② represent full-throttle acceleration for overtaking with inconsistent durations; ③ represents intermittent throttle pressing; and ④ represents smooth acceleration. ④ is closer to the driving habits of most drivers in terms of judging the driver's intention.

[0144] Through the The calculations can determine that drivers ①②③ have a need for aggressive driving;

[0145] J. Judging aggressive driving by brake opening:

[0146] When the driver's real-time braking opening is met Afterwards, the driver's aggressive driving detection was triggered. ,when The driver was then stopped from engaging in aggressive driving tests. ; ---Formula⑥

[0147] When the average braking opening that triggers aggressive driving is met The VCU uses braking to determine if the driver has a need for aggressive driving.

[0148] ----Average braking opening that triggers aggressive driving;

[0149] ----- Triggers driver aggressive driving detection;

[0150] ----Stop testing drivers for aggressive driving;

[0151] ----Real-time brake opening;

[0152] ----Average brake opening calculated using big data analysis;

[0153] ----Based on big data analysis, calibrated values ​​of commonly used brake openings by drivers at different speed ranges under WLTC conditions were identified;

[0154] The calibration values ​​are as follows: Step 3: Based on the driver's aggressive driving conditions and the driver's request to switch driving modes identified by the VCU, the VCU determines the activation flag of the intelligent driving mode. Once the activation flag is met, a pop-up window is sent to the driver via the Pad for selection. If the driver selects YES, the intelligent driving mode is entered; if the driver selects No, the intelligent driving mode is not activated until the pop-up window conditions are met again.

[0155] E.VCU detects the driver's aggressive driving state and switches from invalid to valid, then counts the changes. The driver's aggressive driving state changed from an effective count to an invalid count. The system counts the number of times a driver needs to switch to Sport mode. The driver did not select the intelligent driving mode. Identify the significant number expected by the driver. ---Formula⑦ These are the weighting coefficients for different driving expectations, representing the proportion of the driver's expected thoughts;

[0156] When satisfied The VCU determines when the intelligent driving mode flag is activated; among which... This indicates the threshold for pop-up windows that the driver can accept; it is displayed after each power cycle. Perform a reset;

[0157] After the F.VCU determines that the intelligent driving mode indicator is activated, it sends a pop-up request to the Pad. The pop-up closes automatically after 30 seconds. Figure 4 As shown;

[0158] G. If the driver selects YES, the intelligent driving mode will be activated. If the driver selects No or does not make a selection, it will be assumed that the driver does not need to switch to the intelligent driving mode.

[0159] H. If the current driving mode is intelligent driving mode, the driver can exit this mode by pressing the corresponding button for Eco / Nor / Spt, or by turning off the power.

[0160] Step 4: After entering intelligent driving mode, the VCU will switch the corresponding driving mode by recognizing the current driving conditions and the driver's operations: such as Figure 5 As shown, the logic for determining when the driving mode switches to Eco.

[0161] a) The vehicle is in Ready state, in Drive gear, and the speed is > (0.3km / h) and the driver's real-time brake opening Greater than the average throttle opening calculated from big data. Driving mode switched to Eco, calibration is effective;

[0162] b) Meets the following conditions: not Ready, not in D gear, vehicle speed is 0, or (driver's real-time throttle opening). Greater than the average throttle opening of big data And vehicle speed > (0.3km / h)), switching to Eco mode did not resolve the calibration issue;

[0163] c) After the driving mode is switched to Eco and the calibration is effective, switch back to Eco mode; if the calibration is ineffective, exit Eco mode.

[0164] I. Logic for determining if driving mode has switched to Sport

[0165] a) The vehicle is in Ready state, in Drive mode, and the speed is > (0.3km / h) and the driver's real-time throttle opening Real-time throttle opening correction table for different vehicle speed ranges under WLTC conditions The difference is greater than or equal to the average throttle opening obtained through calculation of big data. Driving mode switched to Sport calibration is effective; ,

[0166] b) The vehicle is not in Ready mode, not in Drive mode, or the vehicle speed is 0, or the driver's actual throttle opening is... A value of 0 indicates that switching the driving mode to Sport has no effect on calibration.

[0167] c) After the driving mode is switched to Sport mode and the calibration is valid, the mode will switch to Sport mode; if the calibration is invalid, the mode will exit Sport mode.

[0168] J. Does not meet the requirements for switching between Sport and ECO modes; the mode is Normal.

[0169] Example description of working conditions:

[0170] 1. Real-time calculation of the driver's average throttle opening (30%) and brake opening (15%) using big data;

[0171] 2. The judgment logic for triggering intelligent driving is as follows: After the driver gets into the vehicle, he switches the mode to Normal. When the driver presses the accelerator to 50% under driving conditions, the emergency accelerator detection is triggered. When the accelerator is released to below 30%, the emergency accelerator detection is exited. During the detection process, the average accelerator opening pressed by the driver is 80%, which is greater than the condition for triggering intelligent driving judgment logic for emergency accelerator.

[0172] 3. Alternatively, the system can be activated by braking to enter the intelligent driving mode. If the driver applies the brakes at 30% during driving, the brake detection is triggered. If the brakes are released to less than 10%, the emergency braking detection is exited. If the average brake opening applied by the driver during the detection process is 20%, which is greater than the condition for emergency braking (15%), the system will activate the intelligent driving mode.

[0173] 4. After the conditions for entering intelligent driving mode are triggered, a pop-up window on the instrument panel will display whether to switch to intelligent driving. If you select "yes", the driving mode will be intelligent driving mode. If you select "otherwise", the intelligent driving mode will not be switched and will remain in Normal mode. The pop-up window will reappear when the conditions are met again.

[0174] 5. If the current mode is intelligent driving mode, the throttle condition is judged. When the driver's throttle is greater than or equal to the average throttle (30%) plus a correction of 10% based on the vehicle speed range, the mode switches to Sport. When the throttle is released, the mode switches to Normal. When the driver's braking is greater than or equal to the average braking (15%), the driving mode switches to ECO. When the throttle is pressed again, the mode switches to Normal.

[0175] The parts not described in detail above are all existing technologies.

Claims

1. A control method for actively managing different driving modes of a hybrid electric vehicle, characterized in that: It includes the following steps; Step 1: When the driver gets into the car for the first time, the initial driving mode is usually ECO. The driving mode used for the next drive is EEPROM mode. The system only stores the ECO and Normal modes after power-off, while the Sport mode is not stored after power-off. Step 2: The intelligent driving mode cannot be entered through physical buttons. In the Ready state, the vehicle controller determines whether the driver has a strong driving request by learning the driver's operation and analyzing the real-time operating conditions. In the Ready state, the vehicle controller learns the driver's operations, including the driver's accelerator and brake pedal habits. Learning a driver's habit of pressing the accelerator includes the following specific steps; ① Deep learning is performed on the driver's accelerator under all driving conditions. The average depth of the accelerator is calculated during the driving process. The average depth of the driver pressing the accelerator is learned. AcceV: Familiar with the driver's driving habits and the depth of pressing the accelerator. Ready state met, D gear, vehicle speed > Throttle opening ≥ Integrating the throttle input at the same time ---Formula① ----Enter the preset value for self-learning logic judgment; AcceV----The average throttle opening under the driver's driving conditions; Acce ---- Real-time throttle opening; ----Correction factor; ----Termination time when conditions are not met; ----The start time when the conditions are met; ② Correct the average logic for calculating the driver's throttle input. The calculation logic is as follows: the vehicle speed is divided into four intervals according to the WLTC operating conditions, namely low speed, medium speed, high speed and ultra-high speed. Under the condition of satisfying the calculation of throttle opening, the average vehicle speed is calculated, and different correction coefficients are obtained by looking up the table intervals based on the average vehicle speed. The logic for calculating average vehicle speed is as follows: ---Formula② ---Formula③...... ---Formula ④ is passed Get from table Combining formulas ①, ②, ③, and ④, the average depth of the driver's accelerator pedal, AcceV, can be calculated. Step 3: Based on the driver's aggressive driving condition and the driver's request to switch driving modes as identified by the vehicle controller, the vehicle controller determines the intelligent driving mode activation flag. Once the activation flag is met, a pop-up window is sent to the driver via the vehicle's built-in display screen for selection. If the driver selects YES, the intelligent driving mode is entered. If you select No, the intelligent driving mode will not be activated until the pop-up conditions are met again. ① The vehicle controller recognizes the driver's aggressive driving state and switches from invalid to valid to count. The driver's aggressive driving state changed from an effective count to an invalid count. The system counts the number of times a driver needs to switch to Sport mode. The driver did not select the intelligent driving mode. Identify the significant number expected by the driver. ; These are the weighting coefficients for different driving expectations, representing the proportion of the driver's expected thoughts; When satisfied The vehicle controller determines when the intelligent driving mode flag is activated; among which... This indicates the threshold for pop-up windows that the driver can accept; Each time after power off and on Perform a reset; ② After the vehicle controller determines that the intelligent driving mode flag is activated, the vehicle controller sends a pop-up request to the vehicle's built-in display screen. The pop-up will automatically close after 30 seconds. ③ If the driver selects YES, the intelligent driving mode will be activated. If the driver selects No or does not make a selection, it will be assumed that the driver does not need to switch to the intelligent driving mode. ④ If the current driving mode is intelligent driving mode, the driver can exit this mode by pressing the corresponding button for Eco / Nor / Spt, or by turning off the power. Step 4: When the vehicle enters the intelligent driving mode, the vehicle controller will switch the corresponding driving mode by recognizing the current driving conditions and the driver's operation.

2. The control method for actively managing different driving modes of a hybrid electric vehicle according to claim 1, characterized in that: Learning about drivers' braking habits includes Deep learning is used to study the driver's braking under all driving conditions, learning the average braking depth BrkV: satisfying the READY state, D gear, and vehicle speed > Brake opening ≥ Integrate the braking opening at the time; ; ----Average brake opening under driver's driving conditions; ----Real-time brake opening; ----Termination time when conditions are not met; ----The start time when the conditions are met.

3. The control method for actively managing different driving modes of a hybrid electric vehicle according to claim 1, characterized in that: In the Ready state, the vehicle controller determines whether the driver has made a request for aggressive driving based on the driver's real-time operating conditions. This includes the vehicle controller determining the preconditions for aggressive driving by the driver, judging aggressive driving by the accelerator opening, and judging aggressive driving by the brake opening.

4. The control method for actively managing different driving modes of a hybrid electric vehicle according to claim 3, characterized in that: The vehicle controller determines that the driver is driving aggressively only if the following conditions are met: the vehicle is in Ready mode, in D gear, the vehicle speed is greater than 100 km / h, and the driving mode is not Sport mode and has not been switched.

5. The control method for actively managing different driving modes of a hybrid electric vehicle according to claim 3, characterized in that: Judging aggressive driving by throttle opening includes: When the driver's real-time throttle opening is satisfied Afterwards, the driver's aggressive driving detection was triggered. ,when The driver's aggressive driving was then stopped for testing. ; The calibration logic is to assign values ​​to low speed, medium speed, high speed and ultra-high speed segments according to different WLTC speeds. The calibration logic is as follows: based on the average throttle opening under normal driving conditions at different speed ranges of the WRLC, the average throttle opening is calculated extensively by simulation software to obtain the calibrated throttle opening data parameters for different speed ranges.

6. The control method for actively managing different driving modes of a hybrid electric vehicle according to claim 3, characterized in that: Judging aggressive driving by braking position includes: when the driver's real-time braking position is met. Afterwards, the driver's aggressive driving detection was triggered. ,when The driver was then stopped from engaging in aggressive driving tests. ; The calibration data parameters for the calibrated pedal depth at different speed ranges are obtained by using simulation software to calculate the average depth of the pedal under normal driving conditions at different speed ranges of WLTC.

7. The control method for actively managing different driving modes of a hybrid electric vehicle according to claim 1, characterized in that: Once the intelligent driving mode is entered, the vehicle controller will switch the corresponding driving mode by recognizing the current driving conditions and the driver's operations: A. Logic for determining if driving mode has switched to Sport: ① The vehicle is in Ready state, in Drive (D) gear, and the speed is > And the driver's actual throttle opening With the calculated average throttle opening The difference is greater than or equal to the calibrated throttle opening obtained from the vehicle speed. Driving mode switched to Sport calibration is effective; ; ② The vehicle is not in Ready mode, not in Drive mode, or the vehicle speed is 0, or the driver's actual throttle opening is... A value of 0 indicates that switching the driving mode to Sport has no effect on calibration. ③ After switching the driving mode to Sport, switch back to Sport mode if the calibration is effective; otherwise, exit Sport mode. B. Logic for determining if driving mode has switched to Eco: ① The vehicle is in Ready state, in Drive (D) gear, and the speed is > And the driver's brake opening Greater than the calculated average throttle opening Driving mode switched to Eco, calibration is effective; ② The vehicle is not in Ready mode, not in Drive mode, or the vehicle speed is 0, or the driver's actual throttle opening is... greater than average throttle opening And vehicle speed > Switching to Eco mode in driving mode does not resolve calibration issues. ③ After switching to Eco mode, switch back to Eco mode if the Eco calibration is effective; otherwise, exit Eco mode. ④ The requirement to switch between Sport mode and ECO mode is not met; the mode is Normal.

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