Hybrid vehicle energy management method, device and equipment under commuting condition

Abstract

The invention provides an energy management method, device and equipment for a hybrid vehicle under a commuting condition, and relates to the technical field of vehicle control, and the method comprises the steps: carrying out the coincidence degree analysis of a driving track and a route included in a commuting database, and determining a commuting route. And based on the initial state of charge SOC of the vehicle and the first charging road section in the commuting route, forming an SOC plan of the vehicle in the driving process of the commuting route. The SOC corresponding to the starting position of the pure circuit section of the vehicle in the commuting route is determined; and when the SOC does not meet the power consumption of the pure circuit section, increasing the charging amount of an engine in a route before the commuting route is at the initial position, and updating the SOC plan. And according to the updated SOC plan, the vehicle is controlled to carry out switching operation of engine charging and pure electricity. Therefore, the SOC planning of the commuting route can be carried out no longer depending on the user to start map navigation, determine the charging road section suitable for charging and the pure circuit section with power consumption, and the reasonable optimization of the energy consumption is realized.

Description

Technical Field

[0001] The present application relates to the technical field of vehicle control, and particularly to an energy management method, device and equipment for a hybrid vehicle in a commuting working condition. Background Art

[0002] The energy management of hybrid vehicles is a complex systematic problem, which is affected by multiple factors of people, vehicles and roads, and finally implemented in the torque distribution of the power source. Therefore, conventional energy management methods respectively perform the energy distribution of fuel and electricity according to factors such as the driver's driving style, vehicle state, vehicle usage habits, and road condition information.

[0003] The energy management method mainly realizes the recognition of the destination through user selection. However, in the actual use process, users do not turn on the map navigation to select the destination during daily commuting. Furthermore, it is impossible to perform the fuel and electricity energy distribution according to relevant road condition information and other factors. Summary of the Invention

[0004] In view of this, the embodiments of the present application provide an energy management method, device and equipment for a hybrid vehicle in a commuting working condition, aiming to perform the energy management of daily commuting even if the user does not select the destination.

[0005] In a first aspect, the embodiments of the present application provide an energy management method for a hybrid vehicle in a commuting working condition, and the method includes:

[0006] Obtain the driving trajectory of the vehicle, and perform a coincidence analysis on the driving trajectory and the routes included in the commuting database to determine the commuting route, where the commuting database includes the routes of the user's historical commuting;

[0007] Based on the initial state of charge (SOC) of the vehicle and the first charging section in the commuting route, form the SOC plan for the vehicle during the driving process on the commuting route, where the first charging section is the section corresponding to the charging working condition with a charging efficiency exceeding a first preset value in the historical journey of the commuting route;

[0008] Obtain the pure electric sections of the commuting route in the historical journey, and according to the SOC plan, determine the SOC corresponding to the starting position of the pure electric section in the commuting route of the vehicle;

[0009] If the SOC does not meet the power consumption of the pure electric section, increase the charging amount of the engine in the route before the starting position of the commuting route to meet the power consumption, and update the SOC plan;

[0010] According to the updated SOC plan, control the vehicle to perform the switching operation between engine charging and pure electric driving.

[0011] Optionally, obtaining the driving trajectory of the vehicle and performing a coincidence analysis on the driving trajectory and the routes included in the commuting database to determine the commuting route includes:

[0012] Obtain a first driving trajectory of the vehicle that is less than or equal to a first mileage threshold. If there is a route in the commuting database whose coincidence degree with the first driving trajectory is greater than a first threshold, it is determined that the vehicle is in a commuting state;

[0013] Obtain a second driving trajectory of the vehicle that is less than or equal to a second mileage threshold, match the second driving trajectory with the routes included in the commuting database, and determine the route with a coincidence degree greater than a second threshold as the commuting route; the second mileage threshold is greater than the first mileage threshold.

[0014] Optionally, the method for generating the routes included in the commuting database includes:

[0015] Obtain the trajectory information of the vehicle, where the trajectory information includes the time, position, vehicle speed, and torque corresponding to the vehicle during historical driving;

[0016] Identify the home location and company location according to the starting position, ending position, and time period of the trajectory information;

[0017] Perform a clustering analysis on the route between the home location and the company location in the vehicle trajectory, and determine the confidence level of the route according to the frequency;

[0018] Store the confidence level of the route, the home location, the company location, the vehicle speed, and the torque during the historical driving process into the commuting database.

[0019] Optionally, the method for obtaining the first charging section includes:

[0020] Check an efficiency table to obtain the charging conditions corresponding to a charging efficiency exceeding a first preset value. The efficiency table is a two-dimensional table for determining the charging efficiency according to the vehicle speed and motor torque, and the charging conditions include the vehicle speed and motor torque;

[0021] According to the vehicle speed and motor torque of the commuting route in the historical journey in the commuting database, determine the section corresponding to the charging conditions in the commuting route as the first charging section.

[0022] Optionally, obtaining the pure electric sections of the commuting route in the historical journey includes:

[0023] According to the vehicle speed of the commuting route in the historical journey in the commuting database, obtain the section with a vehicle speed less than the vehicle speed threshold as the pure electric section of the commuting route in the historical journey.

[0024] Optionally, increasing the charging amount of the engine in the route before the starting position of the commuting route includes:

[0025] Increasing the charging power of the engine in the first charging section included in the route before the starting position;

[0026] And / or

[0027] Checking an efficiency table to obtain a supplementary charging condition corresponding to a charging efficiency less than the first preset value and greater than the second preset value; according to the vehicle speed and motor torque in the historical journey of the commuting route in the commuting database, increasing a second charging section corresponding to the supplementary charging condition in the route before the starting position of the commuting route.

[0028] Optionally, the vehicle is a plug-in hybrid vehicle. After forming the SOC plan for the vehicle during the driving process of the commuting route based on the initial state of charge (SOC) of the vehicle and the first charging section in the commuting route, it further includes:

[0029] Obtaining the charging frequency of the vehicle within the most recent unit time;

[0030] If the charging frequency is greater than the frequency threshold, the overall SOC plan is reduced by a first value, and the first value increases as the frequency threshold increases;

[0031] If the charging frequency is less than the frequency threshold, the overall SOC plan is increased by a second value, and the second value increases as the frequency threshold decreases.

[0032] Optionally, the commuting route is multiple commuting trips corresponding to one charge of the vehicle.

[0033] In a second aspect, the present application provides a hybrid vehicle energy management device for commuting working conditions, and the device includes:

[0034] An acquisition module, configured to acquire the driving trajectory of the vehicle, perform a coincidence analysis on the driving trajectory and the routes included in the commuting database, and determine the commuting route, where the commuting database includes the routes of the user's historical commuting;

[0035] A planning module, configured to form an SOC plan for the vehicle during the driving process of the commuting route based on the initial state of charge (SOC) of the vehicle and the first charging section in the commuting route, where the first charging section is the section corresponding to the charging condition with a charging efficiency exceeding the first preset value in the historical journey of the commuting route;

[0036] A determination module, configured to acquire the pure electric sections in the historical journey of the commuting route, and determine the SOC corresponding to the starting position of the pure electric section in the commuting route of the vehicle according to the SOC plan.

[0037] A judgment module, configured to increase the charging amount of the engine in the route before the starting position of the commuting route to meet the power consumption when the SOC does not meet the power consumption of the pure circuit section, and update the SOC plan.

[0038] A control module, configured to control the vehicle to perform switching operation between engine charging and pure electric according to the updated SOC plan.

[0039] In a third aspect, the present application provides a device, including a memory and a processor, where the memory is used to store instructions or codes, and the processor is used to execute the instructions or codes so that the device executes the above-mentioned hybrid vehicle energy management method for a commuting working condition.

[0040] The embodiments of the present application provide a hybrid vehicle energy management method, device and equipment for a commuting working condition. The present application determines a commuting route by obtaining the driving trajectory of the vehicle and performing a coincidence analysis on the driving trajectory and the routes included in the commuting database, where the commuting database includes the routes of the user's historical commuting, and no longer relies on map navigation. Based on the initial state of charge (SOC) of the vehicle and the first charging section in the commuting route, an SOC plan for the vehicle during the driving process on the commuting route is formed, and the first charging section is the section corresponding to the charging working condition with a charging efficiency exceeding a first preset value in the historical journey of the commuting route; the SOC plan of the charging section will be considered for the charging working condition with a charging efficiency exceeding the first preset value in the historical journey of the commuting route, improving the charging efficiency. Further, the pure circuit section of the commuting route in the historical journey is obtained, and according to the SOC plan, the SOC corresponding to the starting position of the pure circuit section in the commuting route of the vehicle is determined; when the SOC does not meet the power consumption of the pure circuit section, the charging amount of the engine in the route before the starting position of the commuting route is increased to meet the power consumption, and the SOC plan is updated. Finally, according to the updated SOC plan, the vehicle is controlled to perform switching operation between engine charging and pure electric. In this way, for the user's commuting database, it no longer depends on the user to turn on the map navigation, and can also determine the charging section suitable for charging and the pure circuit section with power consumption based on the commuting driving conditions of the user in the historical journey of the commuting section, perform the SOC plan of the commuting route, and realize the reasonable optimization of energy consumption. Description of the Drawings

[0041] To more clearly illustrate the technical solutions in this embodiment or the prior art, the following will briefly introduce the drawings required for the description of the embodiment or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0042] Figure 1 It is a schematic flowchart of an energy management method for a hybrid vehicle in a commuting working condition provided by an embodiment of the present application;

[0043] Figure 2 It is a schematic structural diagram of an energy management device for a hybrid vehicle in a commuting working condition provided by an embodiment of the present application. Detailed implementation manners

[0044] Energy management of hybrid vehicles is a complex systematic problem, affected by multiple factors such as people, vehicles, and roads, and finally implemented in the torque distribution of the power source. Therefore, conventional energy management methods respectively perform the energy distribution of fuel and electricity according to factors such as the driver's driving style, vehicle state, vehicle usage habits, and road condition information. The recognition of the destination in this energy management method is mainly achieved through user selection. However, in actual use, users do not turn on the map navigation to select the destination during daily commuting. As a result, the energy distribution of fuel and electricity cannot be carried out according to relevant road condition information and other factors.

[0045] Based on the above problems, the present application provides an energy management method, device and equipment for hybrid vehicles in commuting conditions. The present application determines the commuting route by obtaining the driving trajectory of the vehicle and performing a coincidence analysis between the driving trajectory and the routes included in the commuting database, where the commuting database includes the routes of the user's historical commuting. It can be seen that the present application performs a coincidence analysis between the current driving trajectory of the vehicle and the historical commuting routes stored in the user's commuting database to determine the commuting route, without relying on factors such as road condition information obtained by map navigation. Further, based on the initial state of charge (SOC) of the vehicle and the first charging section in the commuting route, an SOC plan for the vehicle during the driving process on the commuting route is formed, where the first charging section is the section corresponding to the charging condition with a charging efficiency exceeding a first preset value in the historical journey of the commuting route. It can be seen that when performing the SOC plan for the commuting route, the charging section plan will be considered based on the charging condition with a charging efficiency exceeding the first preset value in the historical journey of the commuting route, improving the charging efficiency. Further, the pure electric section of the commuting route in the historical journey is obtained, and according to the SOC plan, the SOC corresponding to the starting position of the pure electric section in the commuting route of the vehicle is determined. If the SOC does not meet the power consumption of the pure electric section, the charging amount of the engine in the route before the starting position of the commuting route is increased to meet the power consumption, and the SOC plan is updated; the power consumption of the pure electric section in the historical journey is determined in advance, and according to the SOC plan of the current commuting section, it is estimated whether the state of charge at the starting position of the corresponding pure electric section meets the power consumption of the pure electric section. If not, the SOC plan is updated to increase the charge of the battery before the pure electric section. Finally, according to the updated SOC plan, the vehicle is controlled to perform the switching operation between engine charging and pure electric driving. In this way, for the user's commuting database, it does not rely on the user to turn on the map navigation, and can also determine the charging sections suitable for charging and the pure electric sections with power consumption based on the commuting driving conditions of the user in the historical journey of the commuting section, perform the SOC plan for the commuting route, and realize the reasonable optimization of energy consumption.

[0046] It should be noted that in the practical application of the relevant data collection and processing in the present application, the informed consent or separate consent of the subject (hereinafter referred to as the subject) for obtaining personal information should be strictly obtained in accordance with relevant requirements such as national laws, administrative regulations and mandatory national standards, and subsequent data use and processing behaviors can only be carried out within the scope authorized by laws and regulations and the subject.

[0047] In addition, the present application also considers the impact of the user's daily charging habits on energy management when performing energy management. The energy management effect of daily commuting is optimized by combining the user's daily charging habits. For the situation where the user charges once for multiple commuting trips, these multiple trips can be summarized into one route for energy planning.

[0048] Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts belong to the scope of protection of the present application.

[0049] Figure 1 FIG. 4 is a schematic flowchart of an energy management method for a hybrid vehicle in a commuting working condition provided by an embodiment of the present application. An energy management method for a hybrid vehicle in a commuting working condition includes:

[0050] S101. Obtain the driving trajectory of the vehicle, and perform a coincidence analysis on the driving trajectory with the routes included in the commuting database to determine the commuting route. The commuting database includes the routes of the user's historical commuting.

[0051] The routes included in the commuting database are determined according to the user's historical commuting routes. Multiple routes corresponding to the same user's historical driving can be stored in the commuting database.

[0052] Performing a coincidence analysis on the driving trajectory of the current vehicle with the routes in the commuting database can determine which route the current user is going to drive.

[0053] In step S101, the driving trajectory of the current vehicle is subjected to a coincidence analysis with the historical commuting routes stored in the user's commuting database to determine the commuting route, so as to perform energy planning for the subsequent commuting route based on the historical driving situation even when the user does not turn on the map navigation.

[0054] S102. Based on the initial state of charge (SOC) of the vehicle and the first charging section in the commuting route, form an SOC plan for the vehicle during the driving process on the commuting route. The first charging section is the section corresponding to the charging working condition in the historical journey of the commuting route where the charging efficiency exceeds the first preset value.

[0055] State of charge (SOC): The proportion of the current battery capacity in the rated capacity, usually calculated by integrating the load current over a period of time.

[0056] The SOC plan for the vehicle during the driving process on the commuting route refers to planning the change of the state of charge of the current vehicle during the driving process on the commuting route. Among them, when the engine charges or the external charging gun charges, the SOC increases, and when driving purely electrically, the SOC decreases.

[0057] Since the route of the user's current driving commute section corresponding to the historical driving in the commute database is determined through step S101, and since the daily commute times are similar and the highway sections and low-speed sections are approximately the same, for example, the sections with heavy traffic and prone to congestion, or the road conditions on the highway that allow for high-speed driving are also roughly the same. Therefore, the first charging section with high charging efficiency in the historical journey of the commute route can be used as the section with high charging efficiency corresponding to the vehicle on this commute route.

[0058] When performing the SOC planning for the commute route in step S102, the charging conditions where the charging efficiency of the commute route in the historical journey exceeds the first preset value will be considered for the planning of the charging section, thereby improving the charging efficiency. The first preset value can be set according to human experience.

[0059] S103. Obtain the pure electric sections of the commute route in the historical journey, and determine the SOC corresponding to the starting position of the pure electric section of the vehicle on the commute route according to the SOC planning.

[0060] In a possible implementation, the pure electric section can be a congested section with low vehicle speed. Specifically, according to the vehicle speed of the commute route in the historical journey in the commute database, the section with a vehicle speed less than the vehicle speed threshold can be obtained as the pure electric section of the commute route in the historical journey.

[0061] The SOC planning is the change in the state of charge during the driving process of the current vehicle on this commute route. By determining the state of charge corresponding to the starting position of the pure electric section of the commute route, the state of charge SOC of the user when driving to the starting position of this pure electric section on the commute route can be determined according to the SOC planning.

[0062] S104. When the SOC does not meet the power consumption of the pure electric section, increase the charging amount of the engine in the route before the starting position of the commute route to meet the power consumption, and update the SOC planning.

[0063] In the power consumption calculation process, first, according to the technical specifications of the vehicle or actual test data, obtain the average power of the vehicle. This average power can be expressed as the electric energy consumed per hour during pure electric driving (unit: kilowatt-hour, kWh). Then, according to the driving duration of the pure electric section, and multiply this power by this driving duration to obtain the power consumption of this pure electric section.

[0064] Based on step S103, when the state of charge remaining on the route before the commute route reaches the pure electric section can meet the power consumption of this pure electric section, then the current SOC planning can continue. When it does not meet, increase the charging amount of the engine in the route before the starting position of the commute route to meet the power consumption, and adjust and update the increased charging amount of the engine into the SOC planning.

[0065] S105. According to the updated SOC plan, control the vehicle to switch between engine charging and pure electric operation.

[0066] Specifically, according to the SOC plan, when the vehicle is on a section where the SOC increases, start engine charging driving and reach the corresponding state of charge at the end of this section. When on a pure electric section, perform pure electric driving and the SOC decreases.

[0067] According to the above S101 - S105, it can be seen that this application targets the user's commuting database, does not rely on the user to turn on the map navigation, and can also determine the charging section suitable for charging and the pure electric section with power consumption based on the commuting driving conditions of the user's historical trips on the commuting section, perform SOC planning for the commuting route, and achieve reasonable optimization of energy consumption.

[0068] In the embodiment of this application, the above Figure 1 There are multiple possible implementation manners for the step S101, which will be introduced separately below. It should be noted that the implementation manners given in the following introduction are only exemplary descriptions and do not represent all the implementation manners of the embodiment of this application.

[0069] In step S101, the implementation manner of obtaining the driving trajectory of the vehicle and performing a coincidence degree analysis on the driving trajectory and the routes included in the commuting database to determine the commuting route may specifically include:

[0070] Obtain a first driving trajectory of the vehicle that is less than or equal to a first mileage threshold. If there is a route in the commuting database whose coincidence degree with the first driving trajectory is greater than a first threshold, it is determined that the vehicle is in a commuting state.

[0071] Exemplarily, obtain a first driving trajectory of the vehicle with a first mileage threshold from the starting point of the vehicle, perform a coincidence degree analysis on this driving trajectory and the routes included in the commuting database. If there is a route whose coincidence degree is greater than a first threshold (for example, ninety percent), it is determined that the current state is a commuting state.

[0072] Furthermore, it is also possible to add a judgment on whether the time at the starting point is within the corresponding commuting time period. Exemplarily, if the starting point is the home location, the time at the starting point is within the corresponding time period from the home location to the company location, and there is a route in the commuting database whose coincidence degree with the first driving trajectory is greater than a first threshold, it is determined that the vehicle is in a commuting state.

[0073] Obtain a second driving trajectory of the vehicle that is less than or equal to a second mileage threshold (for example, 1KM), match the second driving trajectory with the routes included in the commuting database, and determine the route in the commuting database with a coincidence degree greater than a second threshold as the commuting route; the second mileage threshold is greater than the first mileage threshold.

[0074] Specifically, first obtain the first driving trajectory with a first mileage threshold less than the second mileage threshold and perform overlap analysis with the routes in the commuting database to reduce the amount of calculation for overlap analysis. When it is determined that the vehicle has entered the commuting state, obtain the second driving trajectory with the second mileage threshold and match it with the routes in the commuting database. Therefore, when the first driving trajectory with a mileage less than the second driving trajectory is obtained and the first driving trajectory performs an initial overlap analysis with the routes in the commuting database, if there is no corresponding route, the second driving trajectory can be directly stopped, and the subsequent overlap analysis of the second driving trajectory is terminated to reduce the amount of calculation.

[0075] For the above embodiment, the method for generating the route included in the commuting database includes:

[0076] Obtain the vehicle's trajectory information, which includes the time, position, speed and torque corresponding to the vehicle during its historical driving process.

[0077] For example, the location of the track information is based on the GPS location information of the vehicle, or the location of the track obtained from the navigation information of the user's historical driving. The time corresponds to the real-time location of the track. The vehicle speed can be the average of the historical vehicle speeds corresponding to each position of each track during multiple historical driving processes. The torque can also be the average of the historical torques corresponding to each position of each track during multiple historical driving processes.

[0078] According to the starting position, the ending position and the time period of the trajectory information, the home location and the company location are identified.

[0079] For example, between 6:00 and 8:00 in the morning, the starting location is from a residential area, and the end location is at an office area with a long stay time, then it can be confirmed that the starting location is the home location, the end location is the company location, and the commuting time from the home location to the company location is between 6:00 and 8:00.

[0080] Cluster analysis is performed on the routes between the home location and the company location in the vehicle trajectory, and the confidence of the routes is determined according to the frequency.

[0081] Exemplarily, first, data processing is performed on the trajectory information of each obtained route (including the starting point, ending point, and the counted travel frequency), such as removing abnormal data, filling in missing values, converting to a suitable data format, etc. Then, features are extracted from the data corresponding to each processed route, such as the longitude and latitude coordinates, distance, travel time, etc. of the starting point and ending point. Then, the extracted features are used to cluster the routes using a clustering algorithm, such as the K-means clustering algorithm. The routes are grouped according to similarity to form different clusters. Finally, cluster analysis is performed. For each cluster, the frequency of the routes in it is calculated, that is, the number of times a certain route appears in the data. The commuting frequency of the route can be judged according to the frequency, so as to distinguish the high and low confidence levels. In this way, according to the results of the clustering algorithm and frequency analysis, the frequently traveled commuting routes can be determined, and the confidence level can be judged according to the frequency. Routes with higher frequencies are considered to have higher confidence levels, indicating that the route is a frequently traveled commuting route.

[0082] Deposit the confidence level of the route, the home location, the company location, the vehicle speed and torque during the historical driving process into the commuting database.

[0083] This application conducts a confidence level analysis on commuting routes. When performing coincidence analysis, it can analyze the routes in order from high to low confidence level, that is, first perform coincidence analysis with the routes most frequently traveled daily, which can improve the efficiency of determining commuting routes. According to the historical commuting trajectories of users, a commuting database is constructed to facilitate subsequent analysis of driving habits such as vehicle speed and torque of users' various route commutes, and to perform subsequent state of charge planning.

[0084] In the embodiment of this application, the above Figure 1 There are possible implementation manners for determining the first charging section in the step S102, which are introduced separately below. It should be noted that the implementation manners given in the following introduction are only for exemplary illustration and do not represent all the implementation manners of the embodiment of this application.

[0085] The method for obtaining the first charging section includes:

[0086] Check the efficiency table to obtain the charging conditions corresponding to the charging efficiency exceeding the first preset value. The efficiency table is a two-dimensional table for determining the charging efficiency according to the vehicle speed and motor torque, and the charging conditions include the vehicle speed and motor torque.

[0087] Exemplarily, this efficiency table can be formed by experimentally analyzing the charging efficiency of different motor torques corresponding to each vehicle speed to form a two-dimensional table for determining the charging efficiency according to the vehicle speed and motor torque.

[0088] According to the vehicle speed and motor torque of the commuting route in the historical journey in the commuting database, determine the section corresponding to the charging conditions in the commuting route as the first charging section.

[0089] The present application first determines the optimal charging condition with a charging efficiency exceeding a first preset value in the user's commuting route, so that when performing SOC planning subsequently, the engine is started to operate for charging at the position corresponding to this charging condition in the commuting route, ensuring the charging efficiency.

[0090] In the embodiment of the present application, the above Figure 1 There are possible implementation manners for the step S104, which are introduced separately below. It should be noted that the implementation manners given in the following introduction are only exemplary descriptions and do not represent all the implementation manners of the embodiment of the present application.

[0091] In the above step S104, to increase the charging amount of the engine in the route of the commuting route before the starting position, the specific implementation manners may include:

[0092] Increase the charging power of the engine in the first charging section included in the route before the starting position.

[0093] And / or,

[0094] Check the efficiency table to obtain the supplementary charging condition corresponding to a charging efficiency less than the first preset value and greater than the second preset value; according to the vehicle speed and motor torque in the historical journey of the commuting route in the commuting database, increase the second charging section in the route of the commuting route before the starting position that meets the supplementary charging condition.

[0095] In a possible implementation manner, the charging power of the engine in the first charging section included in the route before the starting position corresponding to the pure electric section of the commuting route can be increased to increase the power generation amount. When increasing the charging power still cannot meet the power consumption of this pure electric section, it is necessary to increase other charging sections in the route before the starting position corresponding to the pure electric section of the commuting route, that is, determine the second charging section with a charging efficiency lower than the first charging efficiency to ensure meeting the power consumption of this pure electric section. Of course, it is also possible not to increase the charging power of the first charging section and directly increase the second charging section in the SOC planning.

[0096] Based on the above embodiment, the vehicle of the present application can be a non-plug-in hybrid vehicle. In addition, it can also be a plug-in hybrid vehicle. When the vehicle of the present application is a plug-in hybrid vehicle, in the above step S102, after forming the SOC plan for the vehicle during the driving process of the commuting route based on the initial state of charge (SOC) of the vehicle and the first charging section in the commuting route, it further includes:

[0097] Obtain the charging frequency of the vehicle in the most recent unit time.

[0098] If the charging frequency is greater than the frequency threshold, the overall SOC plan is reduced by a first value, and the first value increases as the frequency threshold increases.

[0099] If the charging frequency is less than the frequency threshold, the overall SOC plan is increased by a second value, and the second value increases as the frequency threshold decreases.

[0100] Specifically, the discharge depth can be adjusted according to the charging frequency. Exemplarily, if the charging frequency per unit time (from home to company and then from company to home) is once a day and it can meet the power demand for the whole day, the frequency threshold can be once a day. When the charging frequency of the nearest vehicle within the nearest unit time (one day) is twice, which exceeds once a day, the overall SOC plan is reduced by the first value, the discharge depth is increased, and the battery discharges more and retains less power. When the charging frequency of the nearest vehicle within the nearest unit time (one day) is zero, which is less than once a day, the overall SOC plan is increased by the second value, the power retention of the battery is improved, and the discharge depth is reduced. In this way, energy management can also consider the impact of the user's daily charging habits on energy management and optimize the energy management effect for daily commuting in combination with the user's daily charging habits.

[0101] Further, the commuting route is multiple commuting trips corresponding to one charge of the vehicle.

[0102] Therefore, for the case where multiple commuting trips of a user are charged once, these multiple trips can be summarized into one route for energy planning.

[0103] The above are some specific implementation manners of a method for energy management of a hybrid vehicle in a commuting working condition provided by an embodiment of the present application. Based on this, the present application also provides a corresponding device. The device provided by an embodiment of the present application will be introduced from the perspective of functional modularization below.

[0104] See Figure 2 As shown in the structural schematic diagram of an energy management device for a hybrid vehicle in a commuting working condition, an energy management device for a hybrid vehicle in a commuting working condition may include:

[0105] An acquisition module 201, configured to acquire the driving trajectory of the vehicle, perform a coincidence degree analysis on the driving trajectory and the routes included in the commuting database, and determine the commuting route, where the commuting database includes the routes of the user's historical commuting;

[0106] A planning module 202, configured to form an SOC plan for the vehicle during the driving process on the commuting route based on the initial state of charge SOC of the vehicle and the first charging section in the commuting route, where the first charging section is the section corresponding to the charging working condition in the commuting route whose charging efficiency exceeds a first preset value in the historical trip;

[0107] A determination module 203, configured to obtain a pure electric section of the commuting route in a historical trip, and determine the SOC corresponding to the starting position of the pure electric section of the vehicle in the commuting route according to the SOC plan.

[0108] A judgment module 204, configured to, if the SOC does not meet the power consumption of the pure electric section, increase the charging amount of the engine in the route before the starting position of the commuting route to meet the power consumption, and update the SOC plan.

[0109] A control module 205, configured to control the vehicle to perform switching operation between engine charging and pure electric according to the updated SOC plan.

[0110] According to the above device, in this application, the acquisition module 201 obtains the commuting database for the user, and no longer depends on the user to turn on the map navigation to determine the commuting driving situation of the user in the historical trip of the commuting section. The charging section suitable for charging and the pure electric section with power consumption are determined through the planning module 202, the determination module 203 and the judgment module 204 to perform the SOC plan for the commuting route. Finally, the control module 205 controls the charging power and the start and stop of the engine based on the SOC plan to realize reasonable optimization of energy consumption.

[0111] In a possible implementation manner, the acquisition module 201 is further configured to obtain a first driving trajectory of the vehicle that is less than or equal to a first mileage threshold. If there is a route in the commuting database whose coincidence degree with the first driving trajectory is greater than a first threshold, it is determined that the vehicle is in a commuting state; obtain a second driving trajectory of the vehicle that is less than or equal to a second mileage threshold, match the second driving trajectory with the routes included in the commuting database, and determine the route with a coincidence degree greater than a second threshold as the commuting route; the second mileage threshold is greater than the first mileage threshold.

[0112] Further, the acquisition module 201 may be further configured to obtain the trajectory information of the vehicle, where the trajectory information includes the time, position, vehicle speed, and torque corresponding to the vehicle during historical driving; identify the home position and the company position according to the starting position, ending position, and time period of the trajectory information; perform clustering analysis on the route between the home position and the company position in the vehicle trajectory, and determine the confidence level of the route according to the frequency; store the confidence level of the route, the home position, the company position, the vehicle speed, and the torque during the historical driving process into the commuting database.

[0113] In another possible implementation, the planning module 202 is further configured to query an efficiency table to obtain a charging condition corresponding to a charging efficiency exceeding a first preset value. The efficiency table is a two-dimensional table for determining the charging efficiency based on the vehicle speed and the motor torque. The charging condition includes the vehicle speed and the motor torque. According to the vehicle speed and the motor torque of the commuting route in the historical journey in the commuting database, the section of the commuting route that meets the charging condition is determined as the first charging section.

[0114] In yet another possible implementation, the determination module 203 is further configured to obtain, according to the vehicle speed of the commuting route in the historical journey in the commuting database, the section where the vehicle speed is less than the vehicle speed threshold as the pure electric section of the commuting route in the historical journey.

[0115] In still another possible implementation, the judgment module 204 is further configured to increase the engine charging power of the first charging section included in the route before the starting position; and / or, query the efficiency table to obtain a supplementary charging condition corresponding to a charging efficiency less than the first preset value and greater than a second preset value; according to the vehicle speed and the motor torque of the commuting route in the historical journey in the commuting database, increase the second charging section corresponding to the supplementary charging condition in the route before the starting position of the commuting route.

[0116] In yet another possible implementation, the vehicle is a plug-in hybrid vehicle, and the device further includes an adjustment module. The adjustment module is further configured to obtain the charging frequency of the vehicle in the most recent unit time. If the charging frequency is greater than the frequency threshold, the overall SOC planning is reduced by a first value, and the first value increases as the frequency threshold increases. If the charging frequency is less than the frequency threshold, the overall SOC planning is increased by a second value, and the second value increases as the frequency threshold decreases.

[0117] Further, the commuting route is multiple commuting trips corresponding to one charge of the vehicle.

[0118] The embodiments of the present application further provide corresponding devices and computer storage media for implementing the solutions provided by the embodiments of the present application.

[0119] Among them, the device includes a memory and a processor. The memory is used to store instructions or codes, and the processor is used to execute the instructions or codes so that the device executes a method for energy management of a hybrid vehicle under a commuting condition according to any embodiment of the present application.

[0120] The computer storage medium stores codes. When the codes are run, the device running the codes implements a method for energy management of a hybrid vehicle under a commuting condition according to any embodiment of the present application.

[0121] In the embodiments of the present application, the "first", "second" (if any) in names such as "the first" and "the second" are only used as name identifiers and do not represent the first and second in sequence.

[0122] From the description of the above embodiments, those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by means of software plus a general hardware platform. Based on such an understanding, the technical solution of the present application can be embodied in the form of a software product, and the computer software product can be stored in a storage medium, such as read-only memory (ROM) / RAM, magnetic disk, optical disk, etc., including several instructions for causing a computer device (which can be a personal computer, a server, or a network communication device such as a router) to execute the methods described in various embodiments or some parts of the embodiments of the present application.

[0123] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the apparatus embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for the relevant parts, reference can be made to the partial description of the method embodiments. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0124] The above is only an exemplary embodiment of the present application and is not used to limit the protection scope of the present application.

Claims

1. A hybrid vehicle energy management method for commuting conditions, characterized in that: The method comprises: Acquire a driving trajectory of the vehicle, and perform coincidence analysis between the driving trajectory and the routes included in a commuting database to determine a commuting route, wherein the commuting database includes the user's historical commuting routes; Based on the initial state of charge SOC of the vehicle and a first charging section in the commuting route, forming an SOC plan for the vehicle during the driving process of the commuting route, wherein the first charging section is a section corresponding to a charging condition in which the charging efficiency of the commuting route exceeds a first preset value in a historical trip; Obtaining a pure electric circuit segment of the commuting route in a historical trip, and determining, according to the SOC planning, an SOC corresponding to a starting position of the pure electric circuit segment of the vehicle in the commuting route; If the SOC does not satisfy the power consumption of the pure circuit section, the charge amount of the engine in the route before the starting position of the commuting route is increased to satisfy the power consumption, and the SOC planning is updated; According to the updated SOC plan, the vehicle is controlled to switch between engine charging and pure electric operation.

2. The method according to claim 1, characterized in that The step of obtaining the driving trajectory of the vehicle and analyzing the overlap between the driving trajectory and the routes included in the commuting database to determine the commuting route includes: Acquire a first driving trajectory of the vehicle that is less than or equal to a first mileage threshold, and if there is a route in the commuting database that has a degree of overlap with the first driving trajectory that is greater than a first threshold, determine that the vehicle is in a commuting state; A second driving trajectory of the vehicle that is less than or equal to a second mileage threshold is obtained, the second driving trajectory is matched with the routes included in the commuting database, and the routes with a degree of overlap greater than the second threshold are determined as commuting routes; the second mileage threshold is greater than the first mileage threshold.

3. The method according to claim 1, characterized in that: The method for generating the routes included in the commuting database comprises: Acquire vehicle trajectory information, wherein the trajectory information includes the time, position, speed and torque corresponding to the vehicle during historical driving; Identify the home location and company location according to the starting location and the ending location and the time period of the trajectory information; Performing cluster analysis on the routes between the home location and the company location in the vehicle trajectory, and determining the confidence of the routes according to the frequency; The confidence level of the route, the home location, the company location, the vehicle speed and the torque during the historical driving process are stored in a commuting database.

4. The method according to claim 1, characterized in that: The method for obtaining the first charging section includes: The efficiency table is consulted to obtain a charging condition corresponding to a charging efficiency exceeding a first preset value, wherein the efficiency table is a two-dimensional table for determining the charging efficiency according to the vehicle speed and the motor torque, and the charging condition includes the vehicle speed and the motor torque; According to the vehicle speed and motor torque of the commuting route in the commuting database in the historical travel, a section of the commuting route that meets the charging condition is determined as the first charging section.

5. The method according to claim 1, characterized in that The obtaining of the pure circuit segment of the commuting route in the historical trip includes: According to the vehicle speed of the commuting route in the historical trip in the commuting database, a road section where the vehicle speed is less than a vehicle speed threshold is obtained as a pure circuit section of the commuting route in the historical trip.

6. The method according to claim 1, characterized in that The step of increasing the charge amount of the engine in the route of the commuting route before the starting location includes: increasing the engine charging power of a first charging section included in the route before the starting position; and / or, The efficiency table is consulted to obtain a charging condition corresponding to a charging efficiency less than the first preset value and greater than a second preset value; and according to the vehicle speed and motor torque of the commuting route in the historical trip in the commuting database, a second charging section corresponding to the charging condition is added to the route before the starting position of the commuting route.

7. The method according to claim 1, characterized in that The vehicle is a plug-in hybrid vehicle, and after forming an SOC plan for the vehicle during driving on the commuting route based on an initial state of charge SOC of the vehicle and a first charging section in the commuting route, the method further includes: Obtaining the charging frequency of the vehicle in the most recent unit time; If the charging frequency is greater than the frequency threshold, the SOC planning is overall reduced by a first value, and the first value increases as the frequency threshold increases; If the charging frequency is less than the frequency threshold, the SOC planning is increased as a whole by a second value, and the second value increases as the frequency threshold decreases.

8. The method according to claim 1, characterized in that The commuting route is a plurality of commuting trips corresponding to one charging of the vehicle.

9. A hybrid vehicle energy management device for commuting conditions, characterized in that: The device comprises: An acquisition module, used to acquire a driving trajectory of a vehicle, and to perform coincidence analysis between the driving trajectory and a route included in a commuting database to determine a commuting route, wherein the commuting database includes a user's historical commuting routes; a planning module, configured to form an SOC planning for the vehicle during the driving process of the commuting route based on an initial state of charge SOC of the vehicle and a first charging section in the commuting route, wherein the first charging section is a section corresponding to a charging condition in which a charging efficiency of the commuting route exceeds a first preset value in a historical trip; A determination module, configured to obtain a pure electric circuit segment of the commuting route in a historical trip, and determine, according to the SOC plan, an SOC corresponding to a starting position of the pure electric circuit segment of the vehicle in the commuting route; a judgment module, configured to increase the charge amount of the engine in the route before the starting position of the commuting route to meet the power consumption if the SOC does not meet the power consumption of the pure circuit section, and update the SOC planning; A control module is used to control the vehicle to switch between engine charging and pure electric operation according to the updated SOC plan.

10. A device, characterized in that: It includes a memory and a processor, wherein the memory is used to store instructions or codes, and the processor is used to execute the instructions or codes, so that the device executes the hybrid vehicle energy management method for commuting conditions as described in any one of claims 1-8.

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