CN113135096A - Electric vehicle energy management control method and system and computer storage medium - Google Patents
Electric vehicle energy management control method and system and computer storage medium Download PDFInfo
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Abstract
The application discloses an electric vehicle energy management control method and system and a computer storage medium. The control method comprises the steps of receiving a control instruction, and acquiring energy-saving parameters of the electric vehicle according to the control instruction; acquiring an energy control strategy corresponding to the energy-saving parameter; and controlling the electric vehicle by adopting an energy control strategy. By the method, the intelligent level of energy control of the electric vehicle can be improved, electric energy is saved, and the operation of the electric vehicle can be simplified.
Description
Technical Field
The present disclosure relates to the field of electric vehicle technologies, and in particular, to an electric vehicle energy management control method and system, and a computer storage medium.
Background
With the continuous development of society, the electric motor car becomes more and more, and pure electric vehicle possesses the characteristics that does not rely on fossil fuel, pollutant zero release, makes the trip rate of pure electric vehicle high. Today, the control strategy of pure electric vehicles is subject to the following two criteria: firstly, the pure electric vehicle needs to save energy as much as possible in consideration of environmental protection and battery capacity; secondly, because of the possibility brought by the electromotion, the pure electric vehicle is necessarily developed towards intellectualization and automation.
The inventor of the application finds that the control of each functional component of the existing electric vehicle is independently carried out and the control strategy related to energy is dispersed and unrelated in the long-term research and development process, so that the control is more complex, the intelligent level is lower and the energy consumption is higher.
Disclosure of Invention
The technical problem that this application mainly solved is how to simplify user's operation, improves electric motor car energy control's intelligent level, practices thrift the electric energy.
In order to solve the technical problem, the application adopts a technical scheme that: an energy management control method for an electric vehicle is provided. The control method comprises the following steps: receiving a control instruction, and acquiring energy-saving parameters of the electric vehicle according to the control instruction; acquiring an energy control strategy corresponding to the energy-saving parameter; and controlling the electric vehicle by adopting an energy control strategy.
Wherein, the electric motor car is provided with instruction input module, receives control command to the step that obtains the energy-conserving parameter of electric motor car according to control command includes: receiving a control instruction, and acquiring the current state of an instruction input module; and if the current state is the first state, acquiring the current residual electric quantity of the electric vehicle, and acquiring an energy-saving parameter corresponding to the current residual electric quantity. The energy-saving parameters corresponding to the current residual electric quantity are obtained through the current residual electric quantity of the electric vehicle, so that the energy of the electric vehicle is controlled according to different energy-saving parameters obtained according to the current residual electric quantity of the electric vehicle, and the electric energy can be saved.
The steps of obtaining the current remaining power of the electric vehicle and obtaining the energy-saving parameter corresponding to the current remaining power include: acquiring a first preset parameter range; matching the current residual electric quantity with a first preset parameter range; acquiring a preset relation corresponding to a first preset parameter range successfully matched with the current residual electric quantity; and calculating energy-saving parameters corresponding to the residual electric quantity according to the preset relation. The current residual electric quantity of the electric vehicle is obtained to obtain energy-saving parameters under different preset relations, so that the energy of the electric vehicle is controlled according to different energy-saving parameters, the operation of the electric vehicle can be simplified, and the electric energy is saved.
Wherein, the energy-saving parameter satisfies the formula:
γ is an energy saving parameter, a is a residual capacity, and A, B, C are constants, wherein C (a-B) ═ 1. Energy-saving parameters under different preset relations are obtained through calculation of an energy-saving parameter formula so as to control the energy of the electric vehicle, the accuracy of obtaining the energy-saving parameters of the electric vehicle can be improved, and the operation of the electric vehicle is simplified.
The energy control strategy comprises an accelerator power torque, and the step of acquiring the energy control strategy corresponding to the energy-saving parameter comprises the following steps: acquiring the opening degree of an accelerator, and acquiring a sports curve torque and an economic curve torque corresponding to the opening degree of the accelerator from a preset table; and calculating the power torque of the accelerator according to the sport curve torque and the economic curve torque. The accelerator opening and the sport type and economic type curve torques corresponding to the accelerator opening are obtained, so that the power torque of the accelerator can be calculated according to the sport type and economic type curve torques, the torque of the accelerator can be flexibly adjusted, and electric energy can be saved.
The energy control strategy comprises a braking energy recovery torque, and the step of acquiring the energy control strategy corresponding to the energy-saving parameter comprises the following steps: acquiring a second preset parameter range; matching the energy-saving parameter with a second preset parameter range; acquiring a braking energy recovery gear corresponding to a second preset parameter range successfully matched with the energy-saving parameters; and acquiring a braking energy recovery torque corresponding to the braking energy recovery gear. The electric vehicle is adjusted to different braking energy recovery gears according to different energy-saving parameters, so that braking energy recovery torques with different sizes are obtained, the accuracy of energy control of the electric vehicle can be improved, and electric energy is saved.
Wherein, the energy control strategy comprises the real-time power of the accessory, and the step of obtaining the energy control strategy corresponding to the energy-saving parameter comprises the following steps: obtaining the maximum power of accessories in the electric vehicle; the real-time power of the accessory is calculated according to the maximum power. The real-time power of the electric vehicle accessories is adjusted through the size of the energy-saving parameters under different current electric quantities, so that the accessories are adjusted to be proper under different electric quantities, the accuracy of electric vehicle energy control can be improved, and electric energy is saved.
Wherein, the step of receiving control command to obtain the energy-conserving parameter of electric motor car according to control command still includes: if the current state is the second state, acquiring the current control parameters of the instruction input module; and acquiring energy-saving parameters corresponding to the current control parameters. Different energy-saving parameters are obtained in a self-adjusting mode by a user, the influence of the residual electric quantity of the electric vehicle is avoided, and the electric vehicle can keep a continuous motion state or an economic motion state so as to meet the requirements of the user.
In order to solve the above technical problem, another technical solution adopted by the present application is: the controller receives a control instruction from the instruction input module, acquires energy-saving parameters of the electric vehicle according to the control instruction, acquires an energy control strategy corresponding to the energy-saving parameters, and controls the accelerator mechanism, the brake mechanism and/or the accessory mechanism to work by adopting the energy control strategy.
In order to solve the above technical problem, the present application adopts another technical solution: a computer storage medium is provided. The computer storage medium is used for storing a computer program, and the computer program is used for realizing the electric vehicle energy management control method when being executed by a processor.
The beneficial effects of the embodiment of the application are that: different from the prior art, the electric vehicle energy management control method in the embodiment of the application comprises the following steps: receiving a control instruction, and acquiring energy-saving parameters of the electric vehicle according to the control instruction; acquiring an energy control strategy corresponding to the energy-saving parameter; and controlling the electric vehicle by adopting an energy control strategy. Through the mode, each energy control strategy of the electric vehicle can be adjusted in real time to control the electric vehicle according to the obtained different energy-saving parameters, automatic control and one-button management of reasonable distribution of energy of each part of the electric vehicle are achieved, the intelligent level of energy control of the electric vehicle can be improved, electric energy is saved, and operation on the electric vehicle can be simplified.
Drawings
FIG. 1 is a schematic structural diagram of an embodiment of an electric vehicle energy management control system according to the present application;
FIG. 2 is a schematic flow chart illustrating an embodiment of an electric vehicle energy management control method according to the present application;
FIG. 3 is a specific flowchart of step S201 of the energy management control method for an electric vehicle according to the embodiment of FIG. 2;
FIG. 4 is a flowchart illustrating a specific process of step S302 in the method for controlling energy management of an electric vehicle according to the embodiment of FIG. 3;
FIG. 5 is a flowchart illustrating a specific process of step S202 of the energy management control method for an electric vehicle according to the embodiment of FIG. 2;
FIG. 6 is another specific flowchart of step S202 of the energy management control method for an electric vehicle according to the embodiment of FIG. 2;
FIG. 7 is a schematic diagram illustrating a detailed flow of step S202 in the energy management control method for an electric vehicle according to the embodiment of FIG. 2;
FIG. 8 is a schematic structural diagram of an embodiment of a computer storage medium according to the present application;
FIG. 9 is an oil door power torque MAP chart in the flow chart of FIG. 5.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The controller in the electric motor car is the brain of whole car, and it carries out unified analysis and acquisition to vehicle signal through sensor, communication interface etc. and generates control command signal, carries out data interaction with each part controller of lower floor respectively to control its action, its main function includes: throttle power torque management, braking energy recovery torque management, accessory real-time power management and the like. Considering the actual driving situation, the requirements of the user on the energy-saving degree of the vehicle are generally uniform, and the user is greatly likely to want to close or limit the recovery of the braking energy to a smaller extent while pursuing the dynamic property of the driving torque so as to prevent the driving feeling from being influenced; while driving torque economy is also sought, users are highly likely to desire to regulate the braking energy recovery to a greater extent to ensure vehicle range. Therefore, when a user makes a trade-off between economy and power, the percentage Of the remaining battery capacity, that is, the State Of Charge (SOC) Of the battery, is used as a reference in most cases, but the user self-adjustment mode is very complicated, which affects the driving experience, and meanwhile, certain potential safety hazards exist, and the energy Of the electric vehicle cannot be utilized to the maximum.
To solve the above problems, the present application first provides an electric vehicle energy management control system, as shown in fig. 1, and fig. 1 is a schematic structural diagram of an embodiment of the electric vehicle energy management control system of the present application. The energy management control system 10 of the electric vehicle of the present embodiment includes a controller 102, a throttle mechanism 103, a brake mechanism 104, an accessory mechanism 105, and a command input module 106. The controller 102 receives the control instruction from the instruction input module 106, acquires the energy-saving parameter of the electric vehicle according to the control instruction, acquires an energy control strategy corresponding to the energy-saving parameter, and controls the accelerator mechanism 103, the brake mechanism 104 and/or the accessory mechanism 105 to work by using the energy control strategy.
Further, the energy management control system 10 of the electric vehicle according to the embodiment further includes a memory 101, and the memory 101 is used for the control command, the energy saving parameter, the energy control strategy, and the like.
The present application further provides an electric vehicle energy management control method, which can be used in the electric vehicle energy management control system 10. As shown in fig. 2, fig. 2 is a schematic flowchart of an embodiment of an energy management control method for an electric vehicle according to the present application. The energy management control method of the electric vehicle comprises the following steps:
step S201: and receiving a control instruction, and acquiring the energy-saving parameters of the electric vehicle according to the control instruction.
In the embodiment of the application, the controller 102 receives a control instruction from the instruction input module 106, and obtains the energy-saving parameter of the electric vehicle according to the control instruction; the range of the energy-saving parameter is 0-100%, the unit is 1, the energy-saving parameters with different sizes represent different energy-saving degrees of the electric vehicle, and the larger the energy-saving parameter is, the larger the energy-saving degree of the electric vehicle is.
The electric vehicle can be a large-sized vehicle such as a pure electric vehicle, an extended range electric vehicle, a hybrid electric vehicle and a fuel cell vehicle, and can also be a small-sized vehicle such as an electric scooter, an electric bicycle and an electric tricycle.
In an application scenario, the step S201 may be implemented by a method as shown in fig. 3, and the method of the present embodiment includes steps S301 to S304.
Step S301: and receiving a control instruction, and acquiring the current state of the instruction input module.
In this embodiment, the controller 102 receives a control instruction from the instruction input module 106, and the controller 102 obtains the current state of the instruction input module 106 that receives the control instruction according to the content of the control instruction; the current state includes at least a first state and a second state. The control command may be generated by the command input module 106 after receiving a user operation. The instruction input module 106 of the present embodiment may be a button. For example, the first state may be a state after the button is pressed (or opened), and the second state may be a state after the button is sprung (or closed). In some embodiments, the first state may also be referred to as an automatic management state and the second state may also be referred to as a manual management state.
In other embodiments, the control command may be generated by the electric vehicle according to the driving condition of the electric vehicle, or the command input module 106 may be generated according to the user operation and the driving condition of the electric vehicle.
Step S302: and if the current state is the first state, acquiring the current residual electric quantity of the electric vehicle, and acquiring an energy-saving parameter corresponding to the current residual electric quantity.
When the controller 102 acquires the control instruction generated by the instruction input module 106 and further acquires that the current state of the instruction input module 106 is the first state, the controller 102 acquires the current remaining power of the electric vehicle and acquires the energy-saving parameter corresponding to the remaining power value from the preset relationship according to the current remaining power.
The residual electric quantity value and the energy-saving parameters have a preset relation, the electric quantity values with different sizes correspond to the energy-saving parameters with different sizes, and the larger the current residual electric quantity value is, the smaller the energy-saving parameters are.
The SOC value is a ratio of the remaining capacity of the battery of the electric vehicle after the battery is used for a period of time or left unused for a long time to the capacity of the battery in a fully charged state, and is usually expressed by percentage, and the value range is 0 to 1; when SOC is 0, the battery is completely discharged, and when SOC is 1, the battery is completely charged.
The energy-saving parameters corresponding to the current residual electric quantity are obtained through the current residual electric quantity of the electric vehicle, so that the energy of the electric vehicle is controlled according to different energy-saving parameters obtained according to the current residual electric quantity of the electric vehicle, and the electric energy can be saved.
In an application scenario, step S302 may be implemented by a method as shown in fig. 4, and the method of this embodiment includes steps S401 to S404.
Step S401: and acquiring a first preset parameter range.
A plurality of first preset parameter ranges are set in an electric vehicle energy management system, and different first preset parameter ranges correspond to SOC values in different ranges to represent different electric quantity grades.
In the embodiment of the present application, the number of the first preset parameter ranges is three, and of course, the number may be adjusted according to actual needs, and the specific number expressed herein is only the specific number in the embodiment of the present application, and those skilled in the art can make modifications to the first preset parameter ranges without creative efforts, and all of them belong to the protection scope of the present application.
Step S402: and matching the current residual electric quantity with a first preset parameter range.
The controller 102 matches the current remaining power value of the electric vehicle with a first preset parameter range to obtain a power level matching the current remaining power.
Step S403: and acquiring a preset relation corresponding to a first preset parameter range successfully matched with the current residual electric quantity.
When the current remaining capacity of the electric vehicle is successfully matched with the first preset parameter range, the controller 102 obtains a preset relationship corresponding to the first preset parameter range successfully matched with the current remaining capacity value.
Step S404: and calculating energy-saving parameters corresponding to the residual electric quantity according to the preset relation. Wherein, the energy-saving parameter satisfies the formula:
γ is an energy saving parameter, a is a residual capacity, and A, B, C are constants, wherein C (a-B) ═ 1.
In this embodiment, γ and a are in a linear relationship, and the value of the constant A, B, C is not particularly limited as long as the above formula satisfies linearity. Wherein, when the value of the constant A, B, C satisfies the equation: when C (a-B) ═ 1, the above formula satisfies linearity.
Wherein the constant a may range from 50% to 95%, for example the constant a may be 90%; the constant B may range from 10% to 50%, for example the constant B may be 20%; the constant C may range from 1-2, for example the constant C may be 1.42.
In other embodiments, γ and a may also have a non-linear relationship, such as an exponential functional relationship, a logarithmic functional relationship, a power functional relationship, and the like.
In the embodiment of the application, the controller 102 matches the current remaining electric quantity value of the electric vehicle with the first preset parameter range to obtain a corresponding preset relationship between the current remaining electric quantity value and the first preset parameter range, and the controller 102 calculates the current remaining electric quantity value according to the preset relationship to obtain the energy saving parameter corresponding to the current remaining electric quantity value. In the formula that the energy saving parameter satisfies, the first preset parameter range is not limited to the above numerical range, and the controller 102 may change the range according to actual needs, and it is also possible to appropriately adjust the upper limit and the lower limit of the first preset parameter range.
The current residual electric quantity of the electric vehicle is obtained to obtain energy-saving parameters under different preset relations, so that the energy of the electric vehicle is controlled according to different energy-saving parameters, the operation of the electric vehicle can be simplified, and the electric energy is saved.
Step S303: and if the current state is the second state, acquiring the current control parameters of the instruction input module.
After the controller 102 receives a control command for the electric vehicle, it determines whether the command input module 106 is in the first state, and if so, performs the step S202; if the determination result is negative, the command input module 106 may be considered to be in the second state, and the controller 102 obtains the current control parameter of the command input module.
As can be seen from the above analysis, the instruction input module 106 of this embodiment is a button, and the button is disposed in the electric vehicle, when the button is pressed, it indicates that the current state of the instruction input module 106 is the first state, and at this time, the electric vehicle obtains the energy saving parameter corresponding to the residual electric quantity value according to the current residual electric quantity; when the button is popped up, it indicates that the current state of the fetch instruction input module 106 is the second state.
When the current state is determined to be the second state, a user can control and change the current control parameter in a mode of rotating the button, the button is circular, the outermost side of the button is provided with a 0-100 graduated scale which surrounds the button, a graduated line is arranged on the button body, the scale value pointed by the graduated line is the corresponding size of the current control parameter, two marks S and E can be respectively arranged at the positions of the graduated value 0 and the graduated value 100, when the graduated line points to S or E, the two extreme states of the current control parameter are shown, and the positions of the two marks can be exchanged.
In another application scenario, the instruction input module 106 may also be a gesture recognition module, where different gestures correspond to different states, and the gesture of the user is recognized and determined by the camera, for example, if the gesture recognition module recognizes a gesture of sliding a palm right or upward, the current control parameter may be increased; if the gesture recognition module recognizes a gesture that slides left or down, the current control parameters may be reduced. The mapping relationship between the posture and the control operation on the control parameter is not limited to this.
In yet another application scenario, the instruction input module 106 may also be a speech recognition module. And recognizing the voice of the user through a voice recognition module, and executing control operation corresponding to the voice content to increase or decrease the current control parameter.
Step S304: and acquiring energy-saving parameters corresponding to the current control parameters.
In this embodiment, when the controller 102 determines that the control instruction is in the second state, and the user controls and changes the current control parameter by rotating the button, the controller 102 may determine the real-time control parameter according to the size of the scale to which the reticle of the button is currently directed, so as to obtain the energy-saving parameter value corresponding to the control parameter according to the size of the control parameter.
Specifically, the energy saving parameter and the current control parameter may be increased or decreased simultaneously, and the value ranges of both parameters are 0 to 100, that is, each time the control parameter is increased or decreased by one value, the corresponding energy saving parameter is also increased or decreased by one value. Or the numerical value of the energy-saving parameter is reduced along with the increase of the numerical value of the control parameter, and the adjustment can be made according to the actual situation.
Different energy-saving parameters are obtained in a self-adjusting mode by a user, the influence of the residual electric quantity of the electric vehicle is avoided, and the electric vehicle can keep a continuous motion state or an economic motion state so as to meet the requirements of the user.
Step S202: and acquiring an energy control strategy corresponding to the energy-saving parameters.
In the embodiment of the application, the controller 102 adjusts the energy control strategy of the electric vehicle in real time through the acquired energy-saving parameters with different sizes corresponding to the current residual electric quantity value of the electric vehicle, so as to acquire the corresponding energy control strategy. In the embodiment of the present application, the number of the energy control strategies is three, and the execution objects of the energy control strategies are the throttle mechanism 103, the brake mechanism 104, and the accessory mechanism 105, which are associated with each other and independent from each other. Of course, the energy control strategies and the number thereof can be adjusted according to actual needs, and what is expressed here is only the specific situation in the embodiments of the present application, and those skilled in the art can make improvements to the energy control strategies and the number thereof without creative efforts, and all of them belong to the protection scope of the present application.
In an application scenario, step S202 may be implemented in a manner as shown in fig. 5, and the method of the present embodiment includes steps S501 to S502.
Step S501: and acquiring the opening degree of the accelerator, and acquiring the sport curve torque and the economic curve torque corresponding to the opening degree of the accelerator from a preset table.
Further, in this embodiment, the energy management control system for an electric vehicle further includes an angle sensor, the angle sensor is used to obtain an angle between an accelerator pedal of the electric vehicle after being pressed and a horizontal line of a chassis of the electric vehicle, the controller 102 obtains an accelerator opening of the electric vehicle according to the angle, then queries an accelerator opening preset table (an accelerator MAP), and obtains a sports curve torque output value and an economic curve torque output value corresponding to a percentage of the accelerator opening at the current angle from the preset table.
In the embodiment of the application, the accelerator MAP is a rectangular plane coordinate system with the accelerator opening percentage as an abscissa and the power torque output value of the electric vehicle as an ordinate, and the coordinate system has three moving, economical and normal straight lines or curves corresponding to three different output modes, as shown in fig. 9, the power torque output values of the three straight lines or curves are increased along with the increase of the accelerator opening value of the abscissa, and only end points of each straight line or curve coincide with each other, and other places do not coincide with each other or intersect with each other.
The motion curve and the economy curve are respectively positioned on two sides of the normal straight line, under the condition of the same accelerator opening percentage, the torque output magnitude of the motion curve is larger than that of the normal torque, and the torque output magnitude of the normal curve is larger than that of the economy curve.
Step S502: and calculating the power torque of the accelerator according to the sport curve torque and the economic curve torque.
As a specific implementation of the embodiment of FIG. 5, the throttle power torque satisfies the formula: t isout＝γ*TE+(1-γ)*TSWherein gamma is an energy-saving parameter of the electric vehicle, ToutIs throttle power torque, TEFor sportive curve torque, TSThe economic curve torque. With the increase of the energy-saving parameter gamma of the electric vehicle, the power of the accelerator of the electric vehicle is gradually transited from a sport type to an economy type; when the opening degree of the accelerator is small, the motion curve has the characteristics of high response speed and large power torque; while the economical curve needs deep stepping on the throttle, i.e. the throttle opening is relatively largeWhen the torque is large, the output torque of the motion curve can be achieved.
In the embodiment of the present application, after the controller 102 queries the sporty curve torque output value and the economical curve torque output value corresponding to the current accelerator opening percentage, the obtained energy saving parameters are combined according to the accelerator power torque ToutAnd calculating the power torque of the electric vehicle under the current accelerator opening and the energy-saving parameter by a formula, wherein the electric vehicle runs at the power torque. That is, the magnitude of the power torque of the electric vehicle in the embodiment of the present application is determined by the above parameters, but not limited thereto.
The accelerator opening and the sport type and economic type curve torques corresponding to the accelerator opening are obtained, so that the power torque of the accelerator can be calculated according to the sport type and economic type curve torques, the torque of the accelerator can be flexibly adjusted, and electric energy is saved; and then accurately obtaining the accelerator power torque under different sport type and economic type curve torques and under the current energy-saving parameters through the specific formula, thereby improving the energy control precision of the electric vehicle and saving electric energy.
In another application scenario, step S202 may be implemented as shown in fig. 6, and the method of this embodiment includes steps S601 to S604.
Step S601: and acquiring a second preset parameter range.
The controller 102 sets a plurality of second preset parameter ranges in the electric vehicle energy management system, wherein different second preset parameter ranges correspond to energy saving parameter sizes in different ranges to represent grades of different energy saving parameters.
In the embodiment of the present application, the number of the second preset parameter ranges is 4, and of course, the number may be adjusted according to actual needs, and the specific number in the embodiment of the present application is only expressed herein, and modifications made to the second preset range by those skilled in the art without creative efforts are all within the scope of protection of the present application.
Step S602: and matching the energy-saving parameter with a second preset parameter range.
The controller 102 matches the energy-saving parameter of the electric vehicle with a second preset parameter range to obtain a braking energy recovery gear matched with the current energy-saving parameter.
Step S603: and acquiring a braking energy recovery gear corresponding to a second preset parameter range successfully matched with the energy-saving parameters.
When the current energy-saving parameter of the electric vehicle is successfully matched with the second preset parameter range, the controller 102 acquires a braking energy recovery gear corresponding to the second preset parameter range successfully matched with the current energy-saving parameter.
Step S604: and acquiring the braking energy recovery torque corresponding to the energy recovery gear.
In some embodiments, the energy recovery gear can be set to a plurality of different gears as required, and the corresponding intervals between different gears and the energy saving parameter γ can also be adjusted according to actual needs. It should be noted that, in general, the larger the energy recovery torque of the electric vehicle, the larger the power of energy recovery, and at the same time, the better the braking effect for the electric vehicle, and the shorter the braking distance. This is necessary for the driver to adapt to such variations in braking torque. Thus, in some specific embodiments, the braking energy recovery torque may be the same for a specific one of the gears. Meanwhile, the arrangement of energy recovery gears is not too much.
As a specific implementation of fig. 6, the energy recovery gear satisfies the formula:
Dreggamma is an energy-saving parameter for a braking energy recovery gear, and E, F, G are constants.
In this embodiment, the constant E may range from 15% to 35%, for example the constant E may be 25%; the constant F may range from 40% to 60%, for example the constant F may be 50%; the constant G may range from 65% to 85%, for example the constant G may be 75%. The numerical ranges and sizes of the constants are not limited to the above values, and may be adjusted according to actual conditions.
The controller 102 acquires different braking energy recovery gears corresponding to different energy saving parameters, and acquires corresponding electric vehicle braking energy recovery torque according to the different braking energy recovery gears, so as to recover energy lost in the sliding or deceleration process of the electric vehicle, and the braking recovery amplitude should be continuously increased along with the increase of the energy saving parameters.
In the embodiment of the present application, the four energy recovery gears are gears 0, 1, 2, and 3, which respectively represent energy non-recovery, low recovery amplitude, medium recovery amplitude, and high recovery amplitude, and the gears 0, 1, 2, and 3 only represent energy recovery gears for distinguishing different levels, and do not represent the magnitude of the braking energy recovery torque.
The electric vehicle is adjusted to different braking energy recovery gears according to different energy-saving parameters, so that braking energy recovery torques with different sizes are obtained, the accuracy of energy control of the electric vehicle can be improved, and electric energy is saved.
In still another application scenario, step S202 may be implemented in a manner as shown in fig. 7, and the method of the present embodiment includes steps S701 to S702.
Step S701: obtaining the maximum power of accessories in the electric vehicle.
The controller 102 obtains the maximum power of the accessory in the electric vehicle, where the accessory generally refers to the accessory with huge energy consumption such as air conditioner and PTC, and the maximum power refers to the maximum output power.
Step S702: the real-time power of the accessory is calculated according to the maximum power.
As a specific implementation of the embodiment of fig. 7, the real-time power satisfies the following formula:
In this example, PtThe relationship between γ and a is linear, and the value of the constant H, J, L is not particularly limited as long as the above formula satisfies linearity. WhereinWhen the magnitude of the constant H, J, L satisfies the equation: when L (a-J) ═ H, the above formula satisfies linearity, where γ equals 1 and a ranges from J<a≤B。
Wherein the constant H may range from 0.4 to 0.6, for example the constant H may be 0.5; the constant J may range from 0 to 0.2, for example the constant J may be 0.1; the constant L may range from 3 to 8, for example the constant L may be 5.
The controller 102 calculates real-time power of the accessory according to the acquired maximum power of the electric vehicle accessory and the real-time power of the accessory is worked according to the maximum power.
In the formula that the real-time power satisfies, the real-time operation power of the accessory is determined by the sizes of different energy-saving parameters and the current residual capacity, and when the energy-saving parameter is less than 0.5, namely less than 50%, the accessory can directly operate at the maximum power; when the energy-saving parameter is between 50% and 100%, the real-time power of the accessory is properly reduced according to the increase of the energy-saving parameter, and the specific algorithm is not limited only as long as the energy-saving logic can be met, and is P in the embodiment of the applicationmax1.5- γ; when the energy-saving parameter is 100% and the current residual capacity is more than 10%, the real-time power of the accessory is reduced along with the reduction of the current residual capacity value, and when the residual capacity value is reduced to be less than 10%, the accessory stops running to ensure that other parts of the electric vehicle work normally.
The real-time power of the electric vehicle accessories is adjusted through the size of the energy-saving parameters under different current electric quantities, so that the accessories are adjusted to be proper under different electric quantities, the accuracy of electric vehicle energy control can be improved, and electric energy is saved.
Step S203: and controlling the electric vehicle by adopting an energy control strategy.
The controller 102 controls the electric vehicle together by using the different energy control strategies according to the energy saving parameters obtained in different states, and all the energy control strategies work cooperatively to control all parts of the electric vehicle together. The plurality of energy control strategies include, but are not limited to, the throttle power torque, the braking energy recovery torque, and the real-time power of the accessories.
Different from the prior art, the energy control method and the energy control device for the electric vehicle can adjust each energy control strategy of the electric vehicle in real time according to the obtained different energy-saving parameters so as to control the electric vehicle, realize one-key management of automatic control and reasonable distribution of energy of each part of the electric vehicle, improve the intelligent level of energy control of the electric vehicle, save electric energy and simplify the operation of the electric vehicle.
The present application further provides a computer storage medium, as shown in fig. 8, fig. 8 is a schematic structural diagram of an embodiment of the computer storage medium of the present application. The computer storage medium 80 of the present embodiment is used to store a computer program 801, which when executed by a processor, is used to implement the electric vehicle energy management control method in the above-described embodiments.
The computer storage medium 80 may be a server, a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various media capable of storing program codes.
The energy management control method of the electric vehicle, which is different from the prior art, comprises the following steps: receiving a control instruction, and acquiring energy-saving parameters of the electric vehicle according to the control instruction; acquiring an energy control strategy corresponding to the energy-saving parameter; and controlling the electric vehicle by adopting an energy control strategy. Through the mode, each energy control strategy of the electric vehicle can be adjusted in real time to control the electric vehicle according to the obtained different energy-saving parameters, automatic control and one-button management of reasonable distribution of energy of each part of the electric vehicle are achieved, the intelligent level of energy control of the electric vehicle can be improved, electric energy is saved, and operation on the electric vehicle can be simplified.
In addition, if the above functions are implemented in the form of software functions and sold or used as a standalone product, the functions may be stored in a storage medium readable by a mobile terminal, that is, the present application also provides a storage device storing program data, which can be executed to implement the method of the above embodiments, the storage device may be, for example, a usb disk, an optical disk, a server, etc. That is, the present application may be embodied as a software product, which includes several instructions for causing an intelligent terminal to perform all or part of the steps of the methods described in the embodiments.
In the description of the present application, reference to the description of the terms "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be viewed as implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device (e.g., a personal computer, server, network device, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions). For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory. The above description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. An electric vehicle energy management control method, characterized in that the method comprises:
receiving a control instruction, and acquiring energy-saving parameters of the electric vehicle according to the control instruction;
acquiring an energy control strategy corresponding to the energy-saving parameter;
and controlling the electric vehicle by adopting the energy control strategy.
2. The control method according to claim 1, wherein the electric vehicle is provided with an instruction input module, and the step of receiving a control instruction and obtaining the energy saving parameter of the electric vehicle according to the control instruction comprises:
receiving a control instruction, and acquiring the current state of the instruction input module;
and if the current state is the first state, acquiring the current residual electric quantity of the electric vehicle, and acquiring an energy-saving parameter corresponding to the current residual electric quantity.
3. The control method according to claim 2, wherein the step of acquiring the current remaining power of the electric vehicle and acquiring the energy saving parameter corresponding to the current remaining power comprises:
acquiring a first preset parameter range;
matching the current residual electric quantity with the first preset parameter range;
acquiring a preset relation corresponding to a first preset parameter range successfully matched with the current residual electric quantity;
and calculating an energy-saving parameter corresponding to the residual electric quantity according to the preset relation.
4. The control method according to claim 3, wherein the energy saving parameter satisfies a formula:
5. The control method of claim 1, wherein the energy control strategy includes throttle power torque, and the step of deriving the energy control strategy corresponding to the energy saving parameter includes:
acquiring an accelerator opening, and acquiring a sport curve torque and an economic curve torque corresponding to the accelerator opening from a preset table;
and calculating the accelerator power torque according to the sport curve torque and the economic curve torque.
6. The control method of claim 1, wherein the energy control strategy comprises a braking energy recovery torque, and the step of obtaining the energy control strategy corresponding to the energy saving parameter comprises:
acquiring a second preset parameter range;
matching the energy-saving parameter with a second preset parameter range;
acquiring a braking energy recovery gear corresponding to the second preset parameter range successfully matched with the energy-saving parameters;
and acquiring a braking energy recovery torque corresponding to the braking energy recovery gear.
7. The control method of claim 1, wherein the energy control strategy includes real-time power of an accessory, and the step of obtaining the energy control strategy corresponding to the energy saving parameter includes:
obtaining the maximum power of accessories in the electric vehicle;
calculating real-time power of the accessory according to the maximum power.
8. The control method according to claim 2, wherein the step of receiving a control command and obtaining the energy saving parameter of the electric vehicle according to the control command further comprises:
if the current state is the second state, acquiring the current control parameter of the instruction input module;
and acquiring energy-saving parameters corresponding to the current control parameters.
9. The energy management control system is characterized by comprising a controller, an accelerator mechanism, a brake mechanism, an accessory mechanism and an instruction input module, wherein the controller receives a control instruction from the instruction input module, acquires energy-saving parameters of the electric vehicle according to the control instruction, acquires an energy control strategy corresponding to the energy-saving parameters, and controls the accelerator mechanism, the brake mechanism and/or the accessory mechanism to work by adopting the energy control strategy.
10. A computer storage medium for storing a computer program which, when executed by a processor, is adapted to implement the electric vehicle energy management control method of any of claims 1-8.
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