A new energy vehicle control method with energy recovery function

Abstract

The present invention discloses a control method for a new energy vehicle with an energy recovery function, and relates to the technical field of new energy vehicles. The control method for a new energy vehicle with an energy recovery function realizes accurate evaluation of three key data, namely, generator power generation FDJgx, generator conversion efficiency FDJxl, and charging characteristic parameter CDtx, by extracting and integrating comprehensive data of vehicle technical characteristics through steps S1 to S5. By comparing the energy recovery reference value NLhs and the energy recovery calibration value NLxz obtained by calculation with a preset first threshold value Y and a preset second threshold value R respectively, the system can intelligently determine whether it is necessary to start the energy recovery device, thereby realizing efficient recovery of braking force during driving, realizing the division of different energy recovery magnitudes, further optimizing the recovery effect, and then combining different energy recovery execution modes preset in the vehicle-mounted system to maximize the energy utilization efficiency of the whole vehicle.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicles, and in particular to a control method for a new energy vehicle with an energy recovery function. Background Art

[0002] New energy vehicles refer to vehicles that use advanced power technology to replace traditional fuel engines. They mainly include electric vehicles (such as pure electric vehicles and plug-in hybrid vehicles) and hydrogen fuel cell vehicles. These vehicles use electricity or hydrogen as energy. Compared with traditional fuel vehicles, they are usually more environmentally friendly and energy-efficient, and to a certain extent reduce dependence on fossil fuels.

[0003] Energy recovery (also known as energy regeneration or energy recovery braking) is a common technology in new energy vehicles. This technology is mainly used in the braking system of electric vehicles. In traditional internal combustion engine vehicles, kinetic energy is converted into heat energy and dissipated through friction during braking. This method wastes a lot of energy. The energy recovery system in new energy vehicles can reverse the operation of the electric motor, convert the kinetic energy generated during vehicle braking into electrical energy and store it in the battery for subsequent acceleration.

[0004] However, existing control methods are still limited in terms of intelligence and personalized regulation when comprehensively evaluating the vehicle's energy status. It is difficult to flexibly adjust the energy recovery intensity according to actual driving conditions, resulting in limited energy recovery effects. In addition, there is a lack of a comprehensive and unified control method for different types of energy recovery parameters, such as generator power, conversion efficiency, and charging characteristic parameters. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the deficiencies in the prior art, the present invention provides a new energy vehicle control method with energy recovery function, which solves the problem mentioned in the background technology that it is difficult to flexibly adjust the energy recovery intensity according to actual driving conditions, resulting in limited energy recovery effect.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a new energy vehicle control method with energy recovery function, the specific steps are as follows:

[0009] S1. Extracting data on technical features of new energy vehicles, and cleaning and separating the extracted data to form a first data set, a second data set, a third data set, a fourth data set, and a fifth data set respectively;

[0010] S2, first dimensionlessly process the first data set, the second data set, the third data set, the fourth data set and the fifth data set, and then integrate and calculate them, so as to obtain the generator power FDJgx, the generator conversion efficiency FDJxl and the charging characteristic parameter CDtx respectively, and first dimensionlessly process the generator power FDJgx, the generator conversion efficiency FDJxl and the charging characteristic parameter CDtx, and then integrate and calculate them, so as to obtain the energy recovery reference value NLhs;

[0011] S3, comparing the calculated energy recovery reference value NLhs with a preset first threshold value Y to generate a first comparison result, and judging whether it is necessary to start the energy recovery device based on the first comparison result. If the comparison result shows that the braking force does not meet the requirement of starting the energy recovery device, energy recovery is not performed; if the comparison result shows that the energy recovery device needs to be started, the energy recovery process is entered;

[0012] S4. Before executing energy recovery, first obtain an energy recovery calibration value NLxz through integrated calculation, compare the energy recovery calibration value NLxz with a second threshold R, generate a second comparison result, and generate an energy recovery magnitude division based on the second comparison structure;

[0013] S5. Based on the generated different energy recovery levels, execute different energy recovery execution modes preset in the vehicle system.

[0014] Preferably, the first data set includes: internal combustion engine thermal efficiency NRJxl, internal combustion engine output power NRJsc, internal combustion engine operating temperature NRJwd and internal combustion engine speed NRJzs;

[0015] The internal combustion engine thermal efficiency NRJxl is obtained by using an efficiency sensor of the internal combustion engine and connecting the sensor to a diagnostic interface of the vehicle;

[0016] The internal combustion engine output power NRJsc, the internal combustion engine operating temperature NRJwd and the internal combustion engine speed NRJzs are respectively acquired by accessing the vehicle control system and calling the generator monitoring sensor, the vehicle control unit and the temperature control unit in the system.

[0017] Preferably, the second data set includes the motor dynamic response rate FDdt, the generator rated capacity FDJrl, the generator speed FDJzs, and the generator resistance FDJdz;

[0018] The motor dynamic response rate FDdt is obtained by detecting the dynamic response of the motor of the new energy vehicle using a motor control unit;

[0019] The rated capacity of the generator FDJrl is obtained by referring to the technical manual of the vehicle;

[0020] The generator speed FDJzs is obtained by using a generator speed sensor and connecting the generator speed sensor to a diagnostic interface of the vehicle;

[0021] The generator resistance FDJdz is obtained by measuring the resistance of the generator using a resistance measuring instrument.

[0022] Preferably, the third data set includes a battery chemical efficiency DChx and a battery operating temperature DCwd, and the battery chemical efficiency DChx and the battery operating temperature DCwd are acquired by accessing a vehicle BMS system of the new energy vehicle.

[0023] Preferably, the fourth data set includes the minimum charging current ZDdl, the actual charging current SJdl, the minimum charging voltage ZDdy and the actual charging voltage SJdy, and the minimum charging current ZDdl, the actual charging current SJdl, the minimum charging voltage ZDdy and the actual charging voltage SJdy are all acquired by accessing the charging control system carried by the new energy vehicle.

[0024] Preferably, the fifth data set includes a mechanical transmission efficiency JXzc and a transmission loss CSch, and the mechanical transmission efficiency JXzc and the transmission loss CSch are both obtained by accessing a vehicle sensor system mounted on the new energy vehicle.

[0025] Preferably, the generator power FDJgx is calculated by the following formula:

[0026]

[0027] Wherein: NRJxl is the thermal efficiency of the internal combustion engine, FDdt is the dynamic response rate of the motor, DChx is the chemical efficiency of the battery, NRJsc is the output power of the internal combustion engine, NRJwd is the operating temperature of the internal combustion engine, NRJzs is the speed of the internal combustion engine, FDJrl is the rated capacity of the generator, FDJdz is the resistance of the generator, FDJzs is the speed of the generator, DCwd is the operating temperature of the battery, a1, a2, a3, a4 and a5 are all intervention correction constants, a1≠a2≠a3≠a4≠a5≠0, and a1, a2, a3, a4 and a5 are all greater than 0, and the specific values ​​of a1, a2, a3, a4 and a5 are adjusted and set by the user;

[0028] The generator conversion efficiency FDJxl is calculated by the following formula:

[0029]

[0030] Where: NRJxl is the thermal efficiency of the internal combustion engine, JXzc is the mechanical transmission efficiency JXzc, CSch is the transmission loss CSch, NRJwd is the operating temperature of the internal combustion engine, NRJzs is the speed of the internal combustion engine, b1 and b2 are both intervention correction constants, b1≠b2≠0, and b1 and b2 are both greater than 0, and the specific values ​​of b1 and b2 are adjusted and set by the user;

[0031] The charging characteristic parameter CDtx is calculated by the following formula:

[0032]

[0033] Where: ZDdl is the minimum charging current, SJdl is the actual charging current, ZDdy is the minimum charging voltage, SJdy is the actual charging voltage, DChx is the battery chemical efficiency, DCwd is the battery operating temperature;

[0034] The energy recovery reference value NLhs is calculated as follows:

[0035]

[0036] Wherein: FDJgx is the generator power, FDJxl is the generator conversion efficiency, CDtx is the charging characteristic parameter, c1, c2 and c3 are all weight values, and c1≠c2≠c3≠0, and the values ​​of c1, c2 and c3 are adjusted and set by the user.

[0037] Preferably, the first comparison result is:

[0038] When the energy recovery reference value NLhs ≤ the first threshold value Y, it means that the braking force does not meet the energy recovery standard;

[0039] When the energy recovery reference value NLhs> the first threshold value Y, it means that the braking force meets the energy recovery standard;

[0040] The second comparison result is:

[0041] When the energy recovery calibration value NLxz≤the second threshold R, it is the first energy recovery level;

[0042] When the second threshold R<energy recovery calibration value NLxz≤second threshold R*104.3%, it is the second energy recovery level;

[0043] When the second threshold R*104.3%≤energy recovery calibration value NLxz<second threshold R*105.8%, it is the third energy recovery level;

[0044] When the energy recovery calibration value NLxz ≥ the second threshold R*105.8%, it is the fourth energy recovery level;

[0045] The calculation formula of the energy recovery calibration value NLxz is as follows:

[0046]

[0047] Wherein: NLhs is the energy recovery reference value, and Y is the first threshold value.

[0048] Preferably, the energy recovery is performed in the following manner:

[0049] When the comparison result is the first energy recovery level, the vehicle electronic control unit issues a command to reduce the recovery force of the brakes and reduce the energy recovery to a set 10%;

[0050] When the comparison result is the second energy recovery level, the vehicle electronic control unit issues a command to reduce the recovery force of the brakes and reduce the energy recovery to the set 30%;

[0051] When the comparison result is the third energy recovery level, the vehicle electronic control unit issues a command to reduce the recovery force of the brakes and reduce the energy recovery to the set 80%;

[0052] When the comparison result is the fourth energy recovery level, full energy recovery is performed.

[0053] (III) Beneficial effects

[0054] The present invention provides a new energy vehicle control method with energy recovery function, which has the following features:

[0055] Beneficial effects:

[0056] 1. The control method for new energy vehicles with energy recovery function realizes accurate evaluation of three key data, namely, generator power FDJgx, generator conversion efficiency FDJxl and charging characteristic parameter CDtx, through comprehensive data extraction and integrated calculation of vehicle technical characteristics in steps S1 to S5. By comparing the energy recovery reference value NLhs and energy recovery calibration value NLxz obtained by calculation with the preset first threshold value Y and the second threshold value R respectively, the system can intelligently determine whether it is necessary to start the energy recovery device, thereby realizing efficient recovery of braking force during driving, realizing the division of different energy recovery magnitudes, and further optimizing the recovery effect. Then, combined with different energy recovery execution modes preset in the vehicle-mounted system, energy recovery can be flexibly and accurately regulated in different driving scenarios, thereby maximizing the energy utilization efficiency of the whole vehicle.

[0057] 2. The control method of the new energy vehicle with energy recovery function realizes precise regulation of energy recovery through intelligent judgment of braking force and energy recovery level. Users can set different levels of energy recovery strength according to actual needs, effectively optimize the coordination between braking force and energy recovery, ensure that no recovery is performed when the recovery standard is not met, thereby ensuring braking performance. When the standard is met, the energy utilization efficiency of the whole vehicle is improved through multi-level energy recovery settings, further reducing energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0060] Example 1

[0061] The present invention provides a new energy vehicle control method with energy recovery function, please refer to Figure 1 , the specific steps are as follows:

[0062] S1. Extracting data on technical features of new energy vehicles, and cleaning and separating the extracted data to form a first data set, a second data set, a third data set, a fourth data set, and a fifth data set respectively;

[0063] S2, first dimensionlessly process the first data set, the second data set, the third data set, the fourth data set and the fifth data set, and then integrate and calculate them, so as to obtain the generator power FDJgx, the generator conversion efficiency FDJxl and the charging characteristic parameter CDtx respectively, and first dimensionlessly process the generator power FDJgx, the generator conversion efficiency FDJxl and the charging characteristic parameter CDtx, and then integrate and calculate them, so as to obtain the energy recovery reference value NLhs;

[0064] S3, comparing the calculated energy recovery reference value NLhs with a preset first threshold value Y to generate a first comparison result, and judging whether it is necessary to start the energy recovery device based on the first comparison result. If the comparison result shows that the braking force does not meet the requirement of starting the energy recovery device, energy recovery is not performed; if the comparison result shows that the energy recovery device needs to be started, the energy recovery process is entered;

[0065] S4. Before executing energy recovery, first obtain an energy recovery calibration value NLxz through integrated calculation, compare the energy recovery calibration value NLxz with a second threshold R, generate a second comparison result, and generate an energy recovery magnitude division based on the second comparison structure;

[0066] S5. Based on the generated different energy recovery levels, execute different energy recovery execution modes preset in the vehicle system.

[0067] In this embodiment: Step S1 forms five data sets by extracting data on the technical characteristics of new energy vehicles. This includes key information in various aspects, such as generator power generation, conversion efficiency, and charging characteristic parameters. Cleaning and separating these data provides a basis for subsequent analysis.

[0068] Step S2 performs dimensionless processing and integrated calculations on these five data sets, and obtains comprehensive indicators of generator power FDJgx, generator conversion efficiency FDJxl, and charging characteristic parameter CDtx, namely, energy recovery reference value NLhs. This helps to eliminate the dimensional differences between the data and improves the accuracy of subsequent analysis.

[0069] In step S3, the calculated energy recovery reference value NLhs is compared with a preset first threshold value Y to generate a first comparison result. The main purpose of this step is to intelligently decide whether to start the energy recovery device, realize on-demand start, and effectively balance the relationship between energy recovery and braking performance.

[0070] In step S4, the calibration step before energy recovery is performed to obtain the energy recovery calibration value NLxz. By comparing with the second threshold R, a second comparison result is generated and different energy recovery levels are divided. This helps to accurately adjust the energy recovery intensity according to the system state.

[0071] Step S5 executes different energy recovery execution modes preset in the vehicle system based on the generated different energy recovery levels. This strategy fully utilizes the flexibility of the system and adjusts energy recovery according to different driving conditions to achieve the best effect.

[0072] The method realizes accurate evaluation of three key data, namely, generator power FDJgx, generator conversion efficiency FDJxl and charging characteristic parameter CDtx, through comprehensive data extraction and integrated calculation of vehicle technical characteristics in steps S1 to S5. By comparing with preset thresholds, the system can intelligently determine whether it is necessary to start the energy recovery device, thereby realizing efficient recovery of braking force during driving, and by calculating the energy recovery calibration value before energy recovery is executed, it realizes the division of different energy recovery levels, further optimizes the recovery effect, and then combines the different energy recovery execution modes preset in the vehicle-mounted system, so that energy recovery can be flexibly and accurately regulated in different driving scenarios, thereby maximizing the energy utilization efficiency of the whole vehicle.

[0073] Example 2

[0074] Please refer to Figure 1 Specifically: the first data set includes: internal combustion engine thermal efficiency NRJxl, internal combustion engine output power NRJsc, internal combustion engine operating temperature NRJwd and internal combustion engine speed NRJzs;

[0075] The internal combustion engine thermal efficiency NRJxl is obtained by using an efficiency sensor of the internal combustion engine and connecting the sensor to a diagnostic interface of the vehicle;

[0076] The internal combustion engine output power NRJsc, the internal combustion engine operating temperature NRJwd and the internal combustion engine speed NRJzs are respectively acquired by accessing the vehicle control system and calling the generator monitoring sensor, the vehicle control unit and the temperature control unit in the system.

[0077] The second data set includes the motor dynamic response rate FDdt, the generator rated capacity FDJrl, the generator speed FDJzs, and the generator resistance FDJdz;

[0078] The motor dynamic response rate FDdt is obtained by detecting the dynamic response of the motor of the new energy vehicle using a motor control unit;

[0079] The rated capacity of the generator FDJrl is obtained by referring to the technical manual of the vehicle;

[0080] The generator speed FDJzs is obtained by using a generator speed sensor and connecting the generator speed sensor to a diagnostic interface of the vehicle;

[0081] The generator resistance FDJdz is obtained by measuring the resistance of the generator using a resistance measuring instrument.

[0082] The third data set includes a battery chemical efficiency DChx and a battery operating temperature DCwd, and the battery chemical efficiency DChx and the battery operating temperature DCwd are acquired by accessing a vehicle BMS system of the new energy vehicle.

[0083] The fourth data set includes the minimum charging current ZDdl, the actual charging current SJdl, the minimum charging voltage ZDdy and the actual charging voltage SJdy, and the minimum charging current ZDdl, the actual charging current SJdl, the minimum charging voltage ZDdy and the actual charging voltage SJdy are all acquired by accessing the charging control system carried by the new energy vehicle.

[0084] The fifth data set includes a mechanical transmission efficiency JXzc and a transmission loss CSch, and the mechanical transmission efficiency JXzc and the transmission loss CSch are both obtained by accessing a vehicle sensor system mounted on the new energy vehicle.

[0085] In this embodiment: by obtaining multiple performance parameters of new energy vehicles, not only the real-time and comprehensiveness of the data are improved, but also the error of data collection is reduced, thereby enhancing the reliability of the system, providing more accurate working reference values ​​for the energy recovery equipment, making the energy recovery control more intelligent and flexible, and by directly accessing the vehicle's internal systems and sensors, reducing the sensitivity of traditional methods to changes in the external environment, making the data more credible, and further improving the performance of the entire vehicle and the energy-saving effect.

[0086] Example 3

[0087] Please refer to Figure 1 Specifically: the generator power FDJgx is calculated by the following formula:

[0088]

[0089] Wherein: NRJxl is the thermal efficiency of the internal combustion engine, FDdt is the dynamic response rate of the motor, DChx is the chemical efficiency of the battery, NRJsc is the output power of the internal combustion engine, NRJwd is the operating temperature of the internal combustion engine, NRJzs is the speed of the internal combustion engine, FDJrl is the rated capacity of the generator, FDJdz is the resistance of the generator, FDJzs is the speed of the generator, DCwd is the operating temperature of the battery, a1, a2, a3, a4 and a5 are all intervention correction constants, a1≠a2≠a3≠a4≠a5≠0, and a1, a2, a3, a4 and a5 are all greater than 0, and the specific values ​​of a1, a2, a3, a4 and a5 are adjusted and set by the user;

[0090] The generator conversion efficiency FDJxl is calculated by the following formula:

[0091]

[0092] Where: NRJxl is the thermal efficiency of the internal combustion engine, JXzc is the mechanical transmission efficiency JXzc, CSch is the transmission loss CSch, NRJwd is the operating temperature of the internal combustion engine, NRJzs is the speed of the internal combustion engine, b1 and b2 are both intervention correction constants, b1≠b2≠0, and b1 and b2 are both greater than 0, and the specific values ​​of b1 and b2 are adjusted and set by the user;

[0093] The charging characteristic parameter CDtx is calculated by the following formula:

[0094]

[0095] Where: ZDdl is the minimum charging current, SJdl is the actual charging current, ZDdy is the minimum charging voltage, SJdy is the actual charging voltage, DChx is the battery chemical efficiency, DCwd is the battery operating temperature;

[0096] The energy recovery reference value NLhs is calculated as follows:

[0097]

[0098] Wherein: FDJgx is the generator power, FDJxl is the generator conversion efficiency, CDtx is the charging characteristic parameter, c1, c2 and c3 are all weight values, and c1≠c2≠c3≠0, and the values ​​of c1, c2 and c3 are adjusted and set by the user.

[0099] Example 4

[0100] Please refer to Figure 1 , specifically: the first comparison result is:

[0101] When the energy recovery reference value NLhs ≤ the first threshold value Y, it means that the braking force does not meet the energy recovery standard;

[0102] When the energy recovery reference value NLhs> the first threshold value Y, it means that the braking force meets the energy recovery standard;

[0103] The second comparison result is:

[0104] When the energy recovery calibration value NLxz≤the second threshold R, it is the first energy recovery level;

[0105] When the second threshold R<energy recovery calibration value NLxz≤second threshold R*104.3%, it is the second energy recovery level;

[0106] When the second threshold R*104.3%≤energy recovery calibration value NLxz<second threshold R*105.8%, it is the third energy recovery level;

[0107] When the energy recovery calibration value NLxz ≥ the second threshold R*105.8%, it is the fourth energy recovery level;

[0108] The calculation formula of the energy recovery calibration value NLxz is as follows:

[0109]

[0110] Wherein: NLhs is the energy recovery reference value, and Y is the first threshold value.

[0111] The energy recovery execution mode is:

[0112] When the comparison result is the first energy recovery level, the vehicle electronic control unit issues a command to reduce the recovery force of the brakes and reduce the energy recovery to a set 10%;

[0113] When the comparison result is the second energy recovery level, the vehicle electronic control unit issues a command to reduce the recovery force of the brakes and reduce the energy recovery to the set 30%;

[0114] When the comparison result is the third energy recovery level, the vehicle electronic control unit issues a command to reduce the recovery force of the brakes and reduce the energy recovery to the set 80%;

[0115] When the comparison result is the fourth energy recovery level, full energy recovery is performed.

[0116] In this embodiment: This method realizes precise control of energy recovery through intelligent judgment of braking force and energy recovery level. Users can set different levels of energy recovery strength according to actual needs, effectively optimize the coordination between braking force and energy recovery, and ensure that no recovery is performed when the recovery standard is not met, thereby ensuring braking performance. When the standard is met, the energy utilization efficiency of the whole vehicle is improved through multi-level energy recovery settings, further reducing energy consumption.

[0117] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A control method for a new energy vehicle with energy recovery function, characterized in that: The specific steps are as follows: S1. Extracting data on technical features of new energy vehicles, and cleaning and separating the extracted data to form a first data set, a second data set, a third data set, a fourth data set, and a fifth data set respectively; The first data set includes: internal combustion engine thermal efficiency NRJxl, internal combustion engine output power NRJsc, internal combustion engine operating temperature NRJwd, and internal combustion engine speed NRJzs; The internal combustion engine thermal efficiency NRJxl is obtained by using an efficiency sensor of the internal combustion engine and connecting the sensor to a diagnostic interface of the vehicle; The internal combustion engine output power NRJsc, the internal combustion engine operating temperature NRJwd and the internal combustion engine speed NRJzs are acquired by accessing the vehicle control system and calling the generator monitoring sensor, the vehicle control unit and the temperature control unit in the system respectively; The second data set includes the motor dynamic response rate FDdt, the generator rated capacity FDJrl, the generator speed FDJzs, and the generator resistance FDJdz; The motor dynamic response rate FDdt is obtained by detecting the dynamic response of the motor of the new energy vehicle using a motor control unit; The rated capacity of the generator FDJrl is obtained by referring to the technical manual of the vehicle; The generator speed FDJzs is obtained by using a generator speed sensor and connecting the generator speed sensor to a diagnostic interface of the vehicle; The generator resistance FDJdz is obtained by measuring the resistance of the generator using a resistance measuring instrument; The third data set includes a battery chemical efficiency DChx and a battery operating temperature DCwd, wherein the battery chemical efficiency DChx and the battery operating temperature DCwd are acquired by accessing a vehicle BMS system of the new energy vehicle; The fourth data set includes a minimum charging current ZDdl, an actual charging current SJdl, a minimum charging voltage ZDdy, and an actual charging voltage SJdy, and the minimum charging current ZDdl, the actual charging current SJdl, the minimum charging voltage ZDdy, and the actual charging voltage SJdy are all acquired by accessing a charging control system carried by a new energy vehicle; The fifth data set includes a mechanical transmission efficiency JXzc and a transmission loss CSch, both of which are obtained by accessing a vehicle sensor system mounted on a new energy vehicle; S2, first dimensionlessly process the first data set, the second data set, the third data set, the fourth data set and the fifth data set, and then integrate and calculate them, so as to obtain the generator power FDJgx, the generator conversion efficiency FDJxl and the charging characteristic parameter CDtx respectively, and first dimensionlessly process the generator power FDJgx, the generator conversion efficiency FDJxl and the charging characteristic parameter CDtx, and then integrate and calculate them, so as to obtain the energy recovery reference value NLhs; S3, comparing the calculated energy recovery reference value NLhs with a preset first threshold value Y to generate a first comparison result, and judging whether it is necessary to start the energy recovery device based on the first comparison result. If the comparison result shows that the braking force does not meet the requirement of starting the energy recovery device, energy recovery is not performed; if the comparison result shows that the energy recovery device needs to be started, the energy recovery process is entered; S4. Before executing energy recovery, first obtain an energy recovery calibration value NLxz through integrated calculation, compare the energy recovery calibration value NLxz with a second threshold R, generate a second comparison result, and generate an energy recovery grade classification based on the second comparison structure; S5. Based on the generated different energy recovery levels, execute different energy recovery execution modes preset in the vehicle system.

2. The control method of a new energy vehicle with energy recovery function according to claim 1, characterized in that: The generator power FDJgx is calculated by the following formula: Wherein: NRJxl is the thermal efficiency of the internal combustion engine, FDdt is the dynamic response rate of the motor, DChx is the chemical efficiency of the battery, NRJsc is the output power of the internal combustion engine, NRJwd is the operating temperature of the internal combustion engine, NRJzs is the speed of the internal combustion engine, FDJrl is the rated capacity of the generator, FDJdz is the resistance of the generator, FDJzs is the speed of the generator, DCwd is the operating temperature of the battery, a1, a2, a3, a4 and a5 are all intervention correction constants, a1≠a2≠a3≠a4≠a5≠0, and a1, a2, a3, a4 and a5 are all greater than 0, and the specific values ​​of a1, a2, a3, a4 and a5 are adjusted and set by the user; The generator conversion efficiency FDJxl is calculated by the following formula: Where: NRJxl is the thermal efficiency of the internal combustion engine, JXzc is the mechanical transmission efficiency JXzc, CSch is the transmission loss CSch, NRJwd is the operating temperature of the internal combustion engine, NRJzs is the speed of the internal combustion engine, b1 and b2 are both intervention correction constants, b1≠b2≠0, and b1 and b2 are both greater than 0, and the specific values ​​of b1 and b2 are adjusted and set by the user; The charging characteristic parameter CDtx is calculated by the following formula: Where: ZDdl is the minimum charging current, SJdl is the actual charging current, ZDdy is the minimum charging voltage, SJdy is the actual charging voltage, DChx is the battery chemical efficiency, DCwd is the battery operating temperature; The energy recovery reference value NLhs is calculated as follows: Wherein: FDJgx is the generator power, FDJxl is the generator conversion efficiency, CDtx is the charging characteristic parameter, c1, c2 and c3 are all weight values, and c1≠c2≠c3≠0, and the values ​​of c1, c2 and c3 are adjusted and set by the user.

3. The control method of a new energy vehicle with energy recovery function according to claim 1, characterized in that: The first comparison result is: When the energy recovery reference value NLhs ≤ the first threshold value Y, it means that the braking force does not meet the energy recovery standard; When the energy recovery reference value NLhs> the first threshold value Y, it means that the braking force meets the energy recovery standard; The second comparison result is: When the energy recovery calibration value NLxz≤the second threshold R, it is the first energy recovery level; When the second threshold R<energy recovery calibration value NLxz≤second threshold R*104.3%, it is the second energy recovery level; When the second threshold R*104.3%≤energy recovery calibration value NLxz<second threshold R*105.8%, it is the third energy recovery level; When the energy recovery calibration value NLxz ≥ the second threshold R*105.8%, it is the fourth energy recovery level; The calculation formula of the energy recovery calibration value NLxz is as follows: Wherein: NLhs is the energy recovery reference value, and Y is the first threshold value.

4. The control method of a new energy vehicle with energy recovery function according to claim 1, characterized in that: The energy recovery execution mode is: When the comparison result is the first energy recovery level, the vehicle electronic control unit issues a command to reduce the recovery force of the brakes and reduce the energy recovery to a set 10%; When the comparison result is the second energy recovery level, the vehicle electronic control unit issues a command to reduce the recovery force of the brakes and reduce the energy recovery to the set 30%; When the comparison result is the third energy recovery level, the vehicle electronic control unit issues a command to reduce the recovery force of the brakes and reduce the energy recovery to the set 80%; When the comparison result is the fourth energy recovery level, full energy recovery is performed.

Images