CN116061758B - Electric energy monitoring method, device, equipment and storage medium for electric vehicle - Google Patents
Electric energy monitoring method, device, equipment and storage medium for electric vehicle Download PDFInfo
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- CN116061758B CN116061758B CN202310354564.4A CN202310354564A CN116061758B CN 116061758 B CN116061758 B CN 116061758B CN 202310354564 A CN202310354564 A CN 202310354564A CN 116061758 B CN116061758 B CN 116061758B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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Abstract
The invention relates to the field of electric energy monitoring, and discloses an electric energy monitoring method, device and equipment of an electric vehicle and a storage medium. The method comprises the following steps: receiving a starting command, and collecting the starting voltage of a preset battery; obtaining a residual capacity electric energy value according to the starting voltage; judging whether the electric vehicle is in a running state or not; if not, obtaining the residual percentage value of the electric energy based on the electric energy value of the consumed capacity; if the power is in the state, obtaining a corrected power value, and adding the corrected power value and the consumed capacity power value to obtain a new consumed capacity power value; obtaining a residual percentage value of electric energy based on the new consumption capacity electric energy value; receiving a shutdown instruction, obtaining a shutdown residual electric energy value according to the no-load voltage, and subtracting the residual capacity electric energy value from the shutdown residual electric energy value to obtain an operation consumption electric energy value; judging whether the running power consumption value is larger than a preset updating threshold value or not; if the total capacity is larger than the preset total capacity, a new total capacity electric energy value is obtained according to a preset total capacity back-pushing algorithm.
Description
Technical Field
The present invention relates to the field of electric energy monitoring, and in particular, to an electric energy monitoring method, apparatus, device and storage medium for an electric vehicle.
Background
The current electric energy monitoring is mainly a coulomb meter method, and in the current market, the corresponding function of the coulomb meter can be realized by a battery software version, but the coulomb meter function is not realized by a pure hardware version.
The battery software edition mainly sets the battery capacity when the battery leaves the factory, the remaining capacity percentage of the battery can be calculated through a coulomb method in the use process, and meanwhile, the percentage information/voltage and other information are transmitted to the controller, so that the controller can enable the cruising and the electric quantity to be corresponding.
The battery of the battery hardware version is not transmitted with information, the battery voltage can only be collected through the controller, the electric quantity can be calculated in a current mode which is used currently, meanwhile, the battery capacity percentage is judged according to the voltage value collected during starting up a zero load, the relation between the voltage change value tested during zero load and the capacity percentage is put into a program, and the battery capacity is obtained according to the change of the capacity percentage and the electric quantity calculated in the corresponding time. The hardware version battery is in the vehicle use, and the display electric quantity is the jump, and the on-load 1 check electricity display when the low electricity is, full check electricity display when not on-load, or the different of each check electricity duration of display is great. In order to solve the problem that the battery electric quantity of the current battery hardware version shows that the electric quantity is jumped and the electric energy capacity in the using process cannot be accurately measured, a new technology is needed.
Disclosure of Invention
The invention mainly aims to solve the technical problems that the battery electric quantity display electric quantity of the current battery hardware version is jumped and the electric energy capacity in the using process can not be accurately measured.
The first aspect of the invention provides an electric energy monitoring method of an electric vehicle, which comprises the following steps:
receiving a starting instruction, and acquiring the starting voltage of a preset battery based on the starting instruction;
inquiring a preset voltage capacity corresponding table according to the starting voltage to obtain a residual capacity electric energy value, and generating a starting display residual electric quantity according to the residual capacity electric energy value;
obtaining a preset total capacity electric energy value, and subtracting the total capacity electric energy value from the residual capacity electric energy value to obtain a consumed capacity electric energy value;
judging whether a motor of the electric vehicle is in a running state or not;
if the power consumption is not in the running state, inquiring a preset percentage comparison table based on the power consumption capacity value to obtain a residual percentage value of the power;
if the battery is in the running state, collecting the running current of the battery according to the preset interval duration;
performing product processing on the running current and the interval duration to obtain a corrected electric energy value, and adding the corrected electric energy value and the consumed capacity electric energy value to obtain a new consumed capacity electric energy value;
inquiring a preset percentage comparison table based on the new consumption capacity electric energy value to obtain an electric energy residual percentage value;
receiving a shutdown instruction, reading the no-load voltage of the battery, inquiring a preset voltage capacity corresponding table according to the no-load voltage to obtain a shutdown residual electric energy value, and subtracting the residual capacity electric energy value from the shutdown residual electric energy value to obtain an operation consumption electric energy value;
judging whether the running consumption electric energy value is larger than a preset updating threshold value or not;
and if the total capacity of the battery is larger than the updating threshold value, calculating the total capacity of the battery according to a preset total capacity back-pushing algorithm to obtain a new total capacity electric energy value.
Optionally, in a first implementation manner of the first aspect of the present invention, the calculating the total capacity of the battery according to the preset total capacity back-pushing algorithm to obtain a new total capacity electric energy value includes:
calculating the total capacity of the battery based on the shutdown residual electric energy value to obtain a calculated value;
storing the calculated value into a preset statistical value set, and judging whether the element number in the statistical value set exceeds a preset number threshold value;
if the number exceeds the preset number threshold, carrying out average value operation on the elements of the statistical value set to obtain a new total capacity electric energy value, and emptying the elements of the statistical value set.
Optionally, in a second implementation manner of the first aspect of the present invention, after the obtaining the remaining percentage value of electric energy, the method further includes:
inquiring a preset display corresponding table based on the electric energy residual percentage value to obtain a display grid number;
and displaying the number of electric energy grids on a control panel of the electric vehicle based on the number of display grids.
Optionally, in a third implementation manner of the first aspect of the present invention, after the querying a preset percentage comparison table based on the new consumption capacity electric energy value to obtain an electric energy remaining percentage value, the method further includes:
judging whether the running current is smaller than a preset correction current threshold value or not;
and if the electric energy residual percentage value is smaller than the preset correction current preset value, correcting the electric energy residual percentage value based on a preset current analysis algorithm to obtain a new electric energy residual percentage value.
Optionally, in a fourth implementation manner of the first aspect of the present invention, the correcting the remaining percentage value of the electric energy based on the preset current analysis algorithm to obtain a new remaining percentage value of the electric energy includes:
collecting real-time voltage of the battery, and inquiring a preset voltage capacity corresponding table and a preset percentage comparison table based on the real-time voltage to obtain a temporary electric energy percentage value;
and obtaining a new electric energy residual percentage value based on the difference value between the electric energy residual percentage value and the temporary electric energy percentage value.
Optionally, in a fifth implementation manner of the first aspect of the present invention, the obtaining a new remaining percentage value of electric energy based on a difference value between the remaining percentage value of electric energy and the temporary percentage value of electric energy includes:
performing difference operation on the residual percentage value of the electric energy and the temporary percentage value of the electric energy to obtain a percentage difference value;
when the percentage difference value is smaller than a preset average value interval, determining the minimum value of the electric energy residual percentage value and the temporary electric energy percentage value as a new electric energy residual percentage value;
when the percentage difference is larger than a preset average value interval, determining the electric energy residual percentage value as a new electric energy residual percentage value;
when the percentage difference value belongs to a preset average value interval, carrying out average processing on the electric energy residual percentage value and the temporary electric energy percentage value to obtain an average percentage value, and determining the average percentage value as a new electric energy residual percentage value.
Optionally, in a sixth implementation manner of the first aspect of the present invention, the mean interval is: [5%,10% ].
The second aspect of the present invention provides an electric power monitoring device for an electric vehicle, the electric power monitoring device for an electric vehicle comprising:
the starting-up acquisition module is used for receiving a starting-up instruction and acquiring the starting-up voltage of a preset battery based on the starting-up instruction;
the capacity inquiry module is used for inquiring a preset voltage capacity corresponding table according to the starting voltage to obtain a residual capacity electric energy value, and generating a starting display residual electric quantity according to the residual capacity electric energy value;
the consumption calculation module is used for obtaining a preset total capacity electric energy value, subtracting the total capacity electric energy value from the residual capacity electric energy value, and obtaining a consumption capacity electric energy value;
the motion judging module is used for judging whether the motor of the electric vehicle is in a running state or not;
the first query module is used for querying a preset percentage comparison table based on the consumption capacity electric energy value if the first query module is not in an operation state, so as to obtain an electric energy residual percentage value;
the current acquisition module is used for acquiring the running current of the battery according to the preset interval duration if the battery is in the running state;
the correction module is used for carrying out product processing on the running current and the interval duration to obtain a corrected electric energy value, and adding the corrected electric energy value and the consumed capacity electric energy value to obtain a new consumed capacity electric energy value;
the second query module is used for querying a preset percentage comparison table based on the new consumption capacity electric energy value to obtain an electric energy residual percentage value;
the shutdown acquisition module is used for receiving a shutdown instruction, reading the no-load voltage of the battery, inquiring a preset voltage capacity corresponding table according to the no-load voltage to obtain a shutdown residual electric energy value, and subtracting the residual electric energy value from the shutdown residual electric energy value to obtain an operation consumption electric energy value;
the updating judging module is used for judging whether the running consumption electric energy value is larger than a preset updating threshold value or not;
and the updating module is used for calculating the total capacity of the battery according to a preset total capacity back-pushing algorithm if the total capacity is larger than the updating threshold value, so as to obtain a new total capacity electric energy value.
A third aspect of the present invention provides an electric power monitoring apparatus of an electric vehicle, comprising: a memory and at least one processor, the memory having instructions stored therein, the memory and the at least one processor being interconnected by a line; the at least one processor invokes the instructions in the memory to cause the electric power monitoring device of the electric vehicle to execute the electric power monitoring method of the electric vehicle.
A fourth aspect of the present invention provides a computer-readable storage medium having instructions stored therein that, when run on a computer, cause the computer to perform the above-described electric power monitoring method of an electric vehicle.
In the embodiment of the invention, the battery capacity is obtained according to the change of the capacity percentage and the electric quantity calculated in the corresponding time, then the capacity and the percentage are continuously corrected, and then the corresponding endurance mileage is set according to the percentage, so that the change of the displayed electric quantity corresponds to the endurance mileage, and the technical problem that the displayed electric quantity of the battery electric quantity of the current battery hardware version is jumped and the electric energy capacity in the using process cannot be accurately measured is solved.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a method for monitoring electric energy of an electric vehicle according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an embodiment of an electric power monitoring device of an electric vehicle according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of another embodiment of an electric power monitoring device of an electric vehicle according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an embodiment of an electric power monitoring apparatus for an electric vehicle according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides an electric energy monitoring method, device and equipment of an electric vehicle and a storage medium.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.
For ease of understanding, a specific flow of an embodiment of the present invention is described below, referring to fig. 1, and an embodiment of a method for monitoring electric energy of an electric vehicle according to an embodiment of the present invention includes:
101. receiving a starting-up instruction, and acquiring the starting-up voltage of a preset battery based on the starting-up instruction;
102. inquiring a preset voltage capacity corresponding table according to the starting voltage to obtain a residual capacity electric energy value, and generating a starting display residual capacity according to the residual capacity electric energy value;
103. obtaining a preset total capacity electric energy value, and subtracting the total capacity electric energy value from the residual capacity electric energy value to obtain a consumed capacity electric energy value;
in the steps 101-103, the voltage of the starting detection battery evaluates the capacity percentage (electric quantity), namely the residual capacity electric energy value; the program initializes the full capacity value of the battery, and the value is initialized to 1 value before leaving the factory, and changes in the later use process. And in the starting process, the total capacity electric energy value which is adjusted last time or set by leaving a factory is adopted, the consumed capacity electric energy value is obtained after subtraction, and the consumed capacity electric energy value is converted into display electric quantity data based on an electric quantity display algorithm and is displayed in a control screen.
104. Judging whether a motor of the electric vehicle is in an operating state or not;
105. if the power consumption is not in the running state, inquiring a preset percentage comparison table based on the power consumption value to obtain the residual percentage value of the power;
106. if the battery is in the running state, collecting the running current of the battery according to the preset interval duration;
107. performing product processing on the running current and the interval time to obtain a corrected electric energy value, and adding the corrected electric energy value and the consumed capacity electric energy value to obtain a new consumed capacity electric energy value;
108. inquiring a preset percentage comparison table based on the new consumption capacity electric energy value to obtain an electric energy residual percentage value;
in steps 104-108, the rotation, voltage and current conditions of the motor are the criteria for determining whether the motor is in a service operation state. And when the motor does not operate, directly inquiring a percentage comparison table based on the consumption capacity electric energy value, and returning to calculate the electric energy residual percentage of the battery. After the motor is started, the voltage and the current are detected by the main board in real time, the total power is calculated, the total power=battery voltage (motor current+total power consumption outside the motor) is calculated, the running time is calculated, the power is accumulated, and the total power (capacity) consumed is calculated. And then adding the newly increased consumption electric energy value and the original consumption capacity electric energy value to obtain a corrected consumption capacity electric energy value, and finally calculating the residual percentage value of electric energy in a table look-up operation. In addition, the scheme is as follows: total power consumed/battery full power = percentage power consumed, and the reverse direction is used to obtain the remaining percentage value of electric energy.
Further, after step 105 or 108 "get remaining percentage of power value", the following steps may be performed:
1051. inquiring a preset display corresponding table based on the residual percentage value of the electric energy to obtain the display grid number;
1052. based on the display grid number, the electric energy grid number is displayed on a control panel of the electric vehicle.
In the step 1051-1052, the number of display cells is mainly converted by the electric energy percentage value, and the number of cells is displayed. Taking 5 grids as an example, the 5 grids correspond to 75% -100% of electric energy residual percentage values, the 4 grids correspond to 53% -75% of electric energy residual percentage values, the 3 grids correspond to 33% -53% of electric energy residual percentage values, the 2 grids correspond to 13% -33% of electric energy residual percentage values, the 1 grid corresponds to 1% -13% of electric energy residual percentage values, and the 0 grids indicate that the load voltage is lower than 30V.
Further, at step 108, the following steps may be performed:
1081. judging whether the running current is smaller than a preset correction current threshold value or not;
1082. if the electric energy residual percentage value is smaller than the preset correction current preset value, correcting the electric energy residual percentage value based on a preset current analysis algorithm to obtain a new electric energy residual percentage value.
In 1081-1082 steps, assume that the full capacity value X (calculated and stored according to the voltage percentage and the accumulated value of power consumption before last shutdown) of the battery is 10Ah, the voltage is detected during startup and shutdown, the power percentage is obtained according to the 0.1C discharge curve, and the full capacity of the battery is obtained according to the calculated accumulated value of power consumption. In the running process, when the collected current is lower than 0.15C (150 ma), the full capacity of the battery is obtained by comparing the electric quantity percentage and the consumed electric quantity according to the synchronous collected voltage to electric quantity percentage. And accumulating the values obtained at the point b, and calculating an average value. And (3) checking the value obtained by the a to finally obtain the actual value X of the full capacity of the battery. And comparing the stored X values, if the X values are larger than or the downward deviation is larger than 3%, keeping the X values unchanged, otherwise, storing the current X values and replacing the original X values. And the power-on detection voltage is used for calculating the electric quantity percentage according to the 0.1C discharge curve and is used as the power-on display electric quantity. And calculating the consumed electric quantity according to the real-time voltage and current values, and calculating the residual capacity of the battery, namely the electric quantity percentage. When the acquisition current is lower than 0.15C (150 ma), the specific electric quantity percentage is obtained according to the current voltage and the 0.1C discharge curve.
Further, at 1082, the following may be performed:
10821. collecting real-time voltage of the battery, and inquiring a preset voltage capacity corresponding table and a preset percentage comparison table based on the real-time voltage to obtain a temporary electric energy percentage value;
10822. and obtaining a new electric energy residual percentage value based on the difference value of the electric energy residual percentage value and the temporary electric energy residual percentage value.
In steps 10821 and 10822, the temporary electric energy percentage value is queried by querying the real-time voltage of the collected battery to obtain a temporary electric energy percentage value D%, and then the difference value of the electric energy remaining percentage value C% and the temporary electric energy percentage value D% is compared to obtain a new electric energy remaining percentage value.
Further, at 10822, the following is performed:
108221, performing difference operation on the remaining percentage value of the electric energy and the temporary percentage value of the electric energy to obtain a percentage difference value;
108222, when the percentage difference is smaller than the preset average value interval, determining the minimum value of the electric energy residual percentage value and the temporary electric energy percentage value as a new electric energy residual percentage value;
108223, when the percentage difference is larger than a preset average value interval, determining the electric energy residual percentage value as a new electric energy residual percentage value;
108224, when the percentage difference value belongs to a preset average value interval, performing average processing on the remaining percentage value of the electric energy and the temporary percentage value of the electric energy to obtain an average percentage value, and determining the average percentage value as a new remaining percentage value of the electric energy.
In 108221-108224 steps, when the collection current is less than 0.5A, the white percentage relation graph of the current collection voltage +0.5V and the capacity is checked from time to obtain a temporary electric energy percentage value (D%), and the electric quantity display can only be reduced and cannot be increased. The following processing steps are adopted:
the difference between the C% and the D% is less than 5%, and the minimum value is taken as an electric quantity value for display;
the difference between the C% and the D% is 5% -10%, the average value is taken as the electric quantity display, and the average value interval is: [5%,10% ];
the difference between the C% and the D% is more than 10%, and the D% is taken as the electric quantity display;
wherein, C% is the remaining percentage value of electric energy, and D% is the temporary percentage value of electric energy.
109. Receiving a shutdown instruction, reading the no-load voltage of the battery, inquiring a preset voltage capacity corresponding table according to the no-load voltage to obtain a shutdown residual electric energy value, and subtracting the residual capacity electric energy value from the shutdown residual electric energy value to obtain an operation consumption electric energy value;
110. judging whether the running power consumption value is larger than a preset updating threshold value or not;
111. if the total capacity of the battery is larger than the updating threshold value, calculating the total capacity of the battery according to a preset total capacity back-pushing algorithm to obtain a new total capacity electric energy value.
In the step 109-111, when the machine is turned off and is in no-load power off, collecting and taking the no-load voltage to capacity percentage E, and passing through the calculated residual capacity electric energy value A%;
and when the A% -E% is larger than 30%, the full capacity of the battery is reversely pushed, when the full capacity (P) of the reversely pushed battery is smaller than the full capacity value of the initialized battery, the value (P) is recorded, when the number of the values P is=50, the average value of the 50 values is taken as the full capacity value of the battery when the power is started, and all the P values are emptied at the same time, and recording is restarted. When A% -E% is less than 30%, neglecting the total power consumption.
Further, the following may be performed at step 111:
1111. calculating the total capacity of the battery based on the shutdown residual electric energy value to obtain a calculated value;
1112. storing the calculated value into a preset statistical value set, and judging whether the element number in the statistical value set exceeds a preset number threshold value;
1113. if the number exceeds the preset number threshold, carrying out average value operation on the elements of the statistical value set to obtain a new total capacity electric energy value and emptying the elements of the statistical value set.
In 1111-1113 steps, when the machine is turned off and is in idle-load power off, collecting and taking the percentage E of idle-load voltage to capacity, and passing through the calculated residual capacity electric energy value A%;
and when the A% -E% is larger than 30%, the full capacity of the battery is reversely pushed, when the full capacity (P) of the reversely pushed battery is smaller than the full capacity value of the initialized battery, the value (P) is recorded, when the number of the values P is=50, the average value of the 50 values is taken as the full capacity value of the battery when the power is started, and all the P values are emptied at the same time, and recording is restarted. When A% -E% is less than 30%, neglecting the total power consumption.
In the embodiment of the invention, the battery capacity is obtained according to the change of the capacity percentage and the electric quantity calculated in the corresponding time, then the capacity and the percentage are continuously corrected, and then the corresponding endurance mileage is set according to the percentage, so that the change of the displayed electric quantity corresponds to the endurance mileage, and the technical problem that the displayed electric quantity of the battery electric quantity of the current battery hardware version is jumped and the electric energy capacity in the using process cannot be accurately measured is solved.
The method for monitoring electric energy of an electric vehicle in the embodiment of the present invention is described above, and the following describes an electric energy monitoring device of an electric vehicle in the embodiment of the present invention, referring to fig. 2, and the electric energy monitoring device of an electric vehicle in the embodiment of the present invention includes:
the power-on acquisition module 201 is configured to receive a power-on instruction, and acquire a power-on voltage of a preset battery based on the power-on instruction;
the capacity query module 202 is configured to query a preset voltage capacity correspondence table according to the starting voltage to obtain a remaining capacity electric energy value, and generate a starting display remaining capacity according to the remaining capacity electric energy value;
the consumption calculation module 203 is configured to obtain a preset total capacity electric energy value, and subtract the total capacity electric energy value from the remaining capacity electric energy value to obtain a consumed capacity electric energy value;
a motion judging module 204, configured to judge whether a motor of the electric vehicle is in a running state;
the first query module 205 is configured to query a preset percentage comparison table based on the consumption capacity electric energy value if the first query module is not in an operation state, so as to obtain an electric energy remaining percentage value;
the current collection module 206 is configured to collect, if in an operation state, an operation current of the battery according to a preset interval duration;
a correction module 207, configured to perform product processing on the running current and the interval duration to obtain a corrected power value, and add the corrected power value to the consumed capacity power value to obtain a new consumed capacity power value;
a second query module 208, configured to query a preset percentage comparison table based on the new consumption capacity electric energy value, to obtain an electric energy remaining percentage value;
the shutdown acquisition module 209 is configured to receive a shutdown instruction, read an idle voltage of the battery, query a preset voltage capacity correspondence table according to the idle voltage to obtain a shutdown residual power value, and subtract the residual power value from the shutdown residual power value to obtain an operation consumption power value;
an update judging module 210, configured to judge whether the running power consumption value is greater than a preset update threshold;
and the updating module 211 is configured to calculate the total capacity of the battery according to a preset total capacity back-pushing algorithm if the total capacity is greater than the updating threshold value, so as to obtain a new total capacity electric energy value.
In the embodiment of the invention, the battery capacity is obtained according to the change of the capacity percentage and the electric quantity calculated in the corresponding time, then the capacity and the percentage are continuously corrected, and then the corresponding endurance mileage is set according to the percentage, so that the change of the displayed electric quantity corresponds to the endurance mileage, and the technical problem that the displayed electric quantity of the battery electric quantity of the current battery hardware version is jumped and the electric energy capacity in the using process cannot be accurately measured is solved.
Referring to fig. 3, in another embodiment of an electric power monitoring device of an electric vehicle according to an embodiment of the present invention, the electric power monitoring device of an electric vehicle includes:
the power-on acquisition module 201 is configured to receive a power-on instruction, and acquire a power-on voltage of a preset battery based on the power-on instruction;
the capacity query module 202 is configured to query a preset voltage capacity correspondence table according to the starting voltage to obtain a remaining capacity electric energy value, and generate a starting display remaining capacity according to the remaining capacity electric energy value;
the consumption calculation module 203 is configured to obtain a preset total capacity electric energy value, and subtract the total capacity electric energy value from the remaining capacity electric energy value to obtain a consumed capacity electric energy value;
a motion judging module 204, configured to judge whether a motor of the electric vehicle is in a running state;
the first query module 205 is configured to query a preset percentage comparison table based on the consumption capacity electric energy value if the first query module is not in an operation state, so as to obtain an electric energy remaining percentage value;
the current collection module 206 is configured to collect, if in an operation state, an operation current of the battery according to a preset interval duration;
a correction module 207, configured to perform product processing on the running current and the interval duration to obtain a corrected power value, and add the corrected power value to the consumed capacity power value to obtain a new consumed capacity power value;
a second query module 208, configured to query a preset percentage comparison table based on the new consumption capacity electric energy value, to obtain an electric energy remaining percentage value;
the shutdown acquisition module 209 is configured to receive a shutdown instruction, read an idle voltage of the battery, query a preset voltage capacity correspondence table according to the idle voltage to obtain a shutdown residual power value, and subtract the residual power value from the shutdown residual power value to obtain an operation consumption power value;
an update judging module 210, configured to judge whether the running power consumption value is greater than a preset update threshold;
and the updating module 211 is configured to calculate the total capacity of the battery according to a preset total capacity back-pushing algorithm if the total capacity is greater than the updating threshold value, so as to obtain a new total capacity electric energy value.
The update module 211 is specifically configured to:
calculating the total capacity of the battery based on the shutdown residual electric energy value to obtain a calculated value;
storing the calculated value into a preset statistical value set, and judging whether the element number in the statistical value set exceeds a preset number threshold value;
if the number exceeds the preset number threshold, carrying out average value operation on the elements of the statistical value set to obtain a new total capacity electric energy value, and emptying the elements of the statistical value set.
The electric energy monitoring device of the electric vehicle further comprises a conversion display module 212, wherein the conversion display module 212 is specifically configured to:
inquiring a preset display corresponding table based on the electric energy residual percentage value to obtain a display grid number;
and displaying the number of electric energy grids on a control panel of the electric vehicle based on the number of display grids.
The electric energy monitoring device of the electric vehicle further includes a total amount correction module 213, where the total amount correction module 213 is specifically configured to:
judging whether the running current is smaller than a preset correction current threshold value or not;
and if the electric energy residual percentage value is smaller than the preset correction current preset value, correcting the electric energy residual percentage value based on a preset current analysis algorithm to obtain a new electric energy residual percentage value.
Wherein, the total amount correction module 213 is further specifically configured to:
collecting real-time voltage of the battery, and inquiring a preset voltage capacity corresponding table and a preset percentage comparison table based on the real-time voltage to obtain a temporary electric energy percentage value;
and obtaining a new electric energy residual percentage value based on the difference value between the electric energy residual percentage value and the temporary electric energy percentage value.
Wherein, the total amount correction module 213 is further specifically configured to:
performing difference operation on the residual percentage value of the electric energy and the temporary percentage value of the electric energy to obtain a percentage difference value;
when the percentage difference value is smaller than a preset average value interval, determining the minimum value of the electric energy residual percentage value and the temporary electric energy percentage value as a new electric energy residual percentage value;
when the percentage difference is larger than a preset average value interval, determining the electric energy residual percentage value as a new electric energy residual percentage value;
when the percentage difference value belongs to a preset average value interval, carrying out average processing on the electric energy residual percentage value and the temporary electric energy percentage value to obtain an average percentage value, and determining the average percentage value as a new electric energy residual percentage value.
In the embodiment of the invention, the battery capacity is obtained according to the change of the capacity percentage and the electric quantity calculated in the corresponding time, then the capacity and the percentage are continuously corrected, and then the corresponding endurance mileage is set according to the percentage, so that the change of the displayed electric quantity corresponds to the endurance mileage, and the technical problem that the displayed electric quantity of the battery electric quantity of the current battery hardware version is jumped and the electric energy capacity in the using process cannot be accurately measured is solved.
The power monitoring device of the electric vehicle in the embodiment of the present invention is described in detail from the point of view of modularized functional entities in fig. 2 and fig. 3, and the power monitoring device of the electric vehicle in the embodiment of the present invention is described in detail from the point of view of hardware processing.
Fig. 4 is a schematic structural diagram of an electric power monitoring device of an electric vehicle according to an embodiment of the present invention, where the electric power monitoring device 500 of the electric vehicle may have a relatively large difference due to different configurations or performances, and may include one or more processors (central processing units, CPU) 510 (e.g., one or more processors) and a memory 520, and one or more storage media 530 (e.g., one or more mass storage devices) storing application programs 533 or data 532. Wherein memory 520 and storage medium 530 may be transitory or persistent storage. The program stored in the storage medium 530 may include one or more modules (not shown), each of which may include a series of instruction operations to the electric power monitoring device 500 of the electric vehicle. Still further, the processor 510 may be configured to communicate with the storage medium 530 to execute a series of instruction operations in the storage medium 530 on the electric power monitoring device 500 of the electric vehicle.
The electric vehicle-based power monitoring device 500 may also include one or more power sources 540, one or more wired or wireless network interfaces 550, one or more input/output interfaces 560, and/or one or more operating systems 531, such as Windows Serve, mac OS X, unix, linux, freeBSD, and the like. It will be appreciated by those skilled in the art that the electric vehicle electrical energy monitoring device structure illustrated in fig. 4 is not limiting of an electric vehicle-based electrical energy monitoring device, and may include more or fewer components than illustrated, or may combine certain components, or a different arrangement of components.
The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, and may also be a volatile computer readable storage medium, where instructions are stored in the computer readable storage medium, when the instructions are executed on a computer, cause the computer to perform the steps of the electric power monitoring method of an electric vehicle.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the system or apparatus and unit described above may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The electric energy monitoring method of the electric vehicle is characterized by comprising the following steps of:
receiving a starting instruction, and acquiring the starting voltage of a preset battery based on the starting instruction;
inquiring a preset voltage capacity corresponding table according to the starting voltage to obtain a residual capacity electric energy value, and generating a starting display residual electric quantity according to the residual capacity electric energy value;
obtaining a preset total capacity electric energy value, and subtracting the total capacity electric energy value from the residual capacity electric energy value to obtain a consumed capacity electric energy value;
judging whether a motor of the electric vehicle is in a running state or not;
if the power consumption is not in the running state, inquiring a preset percentage comparison table based on the power consumption capacity value to obtain a residual percentage value of the power;
if the battery is in the running state, collecting the running current of the battery according to the preset interval duration;
performing product processing on the running current and the interval duration to obtain a corrected electric energy value, and adding the corrected electric energy value and the consumed capacity electric energy value to obtain a new consumed capacity electric energy value;
inquiring a preset percentage comparison table based on the new consumption capacity electric energy value to obtain an electric energy residual percentage value;
receiving a shutdown instruction, reading the no-load voltage of the battery, inquiring a preset voltage capacity corresponding table according to the no-load voltage to obtain a shutdown residual electric energy value, and subtracting the residual capacity electric energy value from the shutdown residual electric energy value to obtain an operation consumption electric energy value;
judging whether the running consumption electric energy value is larger than a preset updating threshold value or not;
and if the total capacity of the battery is larger than the updating threshold value, calculating the total capacity of the battery according to a preset total capacity back-pushing algorithm to obtain a new total capacity electric energy value.
2. The method for monitoring electric energy of electric vehicle according to claim 1, wherein the calculating the total capacity of the battery according to the preset total capacity back-pushing algorithm to obtain a new total capacity electric energy value comprises:
calculating the total capacity of the battery based on the shutdown residual electric energy value to obtain a calculated value;
storing the calculated value into a preset statistical value set, and judging whether the element number in the statistical value set exceeds a preset number threshold value;
if the number exceeds the preset number threshold, carrying out average value operation on the elements of the statistical value set to obtain a new total capacity electric energy value, and emptying the elements of the statistical value set.
3. The electric power monitoring method of an electric vehicle according to claim 1, further comprising, after the obtaining the remaining percentage value of electric power:
inquiring a preset display corresponding table based on the electric energy residual percentage value to obtain a display grid number;
and displaying the number of electric energy grids on a control panel of the electric vehicle based on the number of display grids.
4. The method for monitoring electric power of an electric vehicle according to claim 1, further comprising, after the inquiring a preset percentage table based on the new consumption capacity electric power value to obtain an electric power remaining percentage value:
judging whether the running current is smaller than a preset correction current threshold value or not;
and if the electric energy residual percentage value is smaller than the preset correction current preset value, correcting the electric energy residual percentage value based on a preset current analysis algorithm to obtain a new electric energy residual percentage value.
5. The method for monitoring electric energy of electric vehicle according to claim 4, wherein the correcting the remaining percentage value of electric energy based on the preset current analysis algorithm to obtain a new remaining percentage value of electric energy comprises:
collecting real-time voltage of the battery, and inquiring a preset voltage capacity corresponding table and a preset percentage comparison table based on the real-time voltage to obtain a temporary electric energy percentage value;
and obtaining a new electric energy residual percentage value based on the difference value between the electric energy residual percentage value and the temporary electric energy percentage value.
6. The method of claim 5, wherein obtaining a new percentage of remaining electrical energy based on a difference between the percentage of remaining electrical energy and the temporary percentage of electrical energy comprises:
performing difference operation on the residual percentage value of the electric energy and the temporary percentage value of the electric energy to obtain a percentage difference value;
when the percentage difference value is smaller than a preset average value interval, determining the minimum value of the electric energy residual percentage value and the temporary electric energy percentage value as a new electric energy residual percentage value;
when the percentage difference is larger than a preset average value interval, determining the electric energy residual percentage value as a new electric energy residual percentage value;
when the percentage difference value belongs to a preset average value interval, carrying out average processing on the electric energy residual percentage value and the temporary electric energy percentage value to obtain an average percentage value, and determining the average percentage value as a new electric energy residual percentage value.
7. The method for monitoring electric energy of an electric vehicle according to claim 6, wherein the mean interval is: [5%,10% ].
8. An electric power monitoring device of an electric vehicle, characterized in that the electric power monitoring device of an electric vehicle comprises:
the starting-up acquisition module is used for receiving a starting-up instruction and acquiring the starting-up voltage of a preset battery based on the starting-up instruction;
the capacity inquiry module is used for inquiring a preset voltage capacity corresponding table according to the starting voltage to obtain a residual capacity electric energy value, and generating a starting display residual electric quantity according to the residual capacity electric energy value;
the consumption calculation module is used for obtaining a preset total capacity electric energy value, subtracting the total capacity electric energy value from the residual capacity electric energy value, and obtaining a consumption capacity electric energy value;
the motion judging module is used for judging whether the motor of the electric vehicle is in a running state or not;
the first query module is used for querying a preset percentage comparison table based on the consumption capacity electric energy value if the first query module is not in an operation state, so as to obtain an electric energy residual percentage value;
the current acquisition module is used for acquiring the running current of the battery according to the preset interval duration if the battery is in the running state;
the correction module is used for carrying out product processing on the running current and the interval duration to obtain a corrected electric energy value, and adding the corrected electric energy value and the consumed capacity electric energy value to obtain a new consumed capacity electric energy value;
the second query module is used for querying a preset percentage comparison table based on the new consumption capacity electric energy value to obtain an electric energy residual percentage value;
the shutdown acquisition module is used for receiving a shutdown instruction, reading the no-load voltage of the battery, inquiring a preset voltage capacity corresponding table according to the no-load voltage to obtain a shutdown residual electric energy value, and subtracting the residual electric energy value from the shutdown residual electric energy value to obtain an operation consumption electric energy value;
the updating judging module is used for judging whether the running consumption electric energy value is larger than a preset updating threshold value or not;
and the updating module is used for calculating the total capacity of the battery according to a preset total capacity back-pushing algorithm if the total capacity is larger than the updating threshold value, so as to obtain a new total capacity electric energy value.
9. An electric power monitoring device of an electric vehicle, characterized in that the electric power monitoring device of an electric vehicle comprises: a memory and at least one processor, the memory having instructions stored therein, the memory and the at least one processor being interconnected by a line;
the at least one processor invokes the instructions in the memory to cause the electrical energy monitoring device of the electric vehicle to perform the electrical energy monitoring method of the electric vehicle of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the electric power monitoring method of an electric vehicle according to any one of claims 1-7.
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| CN109613432A (en) * | 2019-01-08 | 2019-04-12 | 广州小鹏汽车科技有限公司 | Estimate method, equipment and the computer readable storage medium of battery charge state |
| CN110361642A (en) * | 2019-07-11 | 2019-10-22 | 中国科学院电工研究所 | A kind of prediction technique, device and the electronic equipment of capacitor state-of-charge |
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| CN114217229A (en) * | 2021-12-14 | 2022-03-22 | 珠海格力电器股份有限公司 | Battery SOC correction system, control method thereof, storage medium and electric vehicle |
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| CN109613432A (en) * | 2019-01-08 | 2019-04-12 | 广州小鹏汽车科技有限公司 | Estimate method, equipment and the computer readable storage medium of battery charge state |
| CN110361642A (en) * | 2019-07-11 | 2019-10-22 | 中国科学院电工研究所 | A kind of prediction technique, device and the electronic equipment of capacitor state-of-charge |
| CN111398828A (en) * | 2020-04-16 | 2020-07-10 | 青岛理工大学 | Method for estimating remaining electric quantity and remaining driving mileage of electric automobile |
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