CN110752640A - Energy storage device with intelligent dormancy function and method - Google Patents
Energy storage device with intelligent dormancy function and method Download PDFInfo
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- CN110752640A CN110752640A CN201911080569.2A CN201911080569A CN110752640A CN 110752640 A CN110752640 A CN 110752640A CN 201911080569 A CN201911080569 A CN 201911080569A CN 110752640 A CN110752640 A CN 110752640A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
Abstract
The invention provides an energy storage device with an intelligent dormancy function, which comprises an AI voice interaction subsystem, a quick charge selection switch, a slow charge selection switch, a voltage detection subsystem for a charge interface, an electric quantity detection subsystem for battery grouping and a heat management subsystem, wherein the AI voice interaction subsystem comprises a voice module; the voltage detection subsystem is used for selecting whether to awaken the AI voice interaction subsystem according to the voltage state of the charging interface; the AI voice interaction subsystem is used for selectively switching on the quick charge selection switch or the slow charge selection switch according to the result of human-computer voice interaction so as to charge the battery pack; when the result of human-computer voice interaction is not obtained, the AI voice interaction subsystem is used for selectively switching on the fast charging selection switch in the daytime state and selectively switching on the slow charging selection switch in the evening state so as to charge the battery pack; and the electric quantity detection subsystem is used for detecting the electric quantity state of the battery pack.
Description
Technical Field
The invention relates to the technical field of new energy automobiles, in particular to an energy storage device with an intelligent dormancy function and a method.
Background
As known by the driving experience of new energy automobiles, once the weather is cold, the charge-discharge efficiency of the lithium battery is reduced. The performance of the automobile is reduced during running, and the charging efficiency of the automobile is reduced during charging. When the automobile is charged indoors, the charging efficiency and the average phase are almost the same. However, when the automobile is charged outdoors, the charging time is long due to low temperature. In addition, under a low-temperature environment, the effective capacity of the lithium battery is reduced, and the rated capacity of the lithium battery cannot reach 100% even if the display battery is fully charged, so that the cruising performance of the automobile is reduced.
In general, two modes of quick charging and slow charging can be selected to charge the automobile. But in a low-temperature environment, power can be lost due to the idle lithium battery. If the vehicle is used in the next morning, the fast charging is selected to be faster than the slow charging. Because the time required for full charge is longer when slow charge is selected, the idle power failure time of the corresponding lithium battery is shorter.
Whether the new energy automobile is charged quickly or slowly, the current charging management method for the new energy automobile is still imperfect, and the new energy automobile is poor in public praise of users.
Disclosure of Invention
The invention aims to provide an energy storage device with an intelligent dormancy function and an energy storage method, so as to standardize the management of outdoor charging of a new energy automobile.
According to one technical scheme, the energy storage device with the intelligent sleep function comprises an AI voice interaction subsystem, a quick charge selection switch, a slow charge selection switch, a voltage detection subsystem for a charge interface, an electric quantity detection subsystem for a battery group and a heat management subsystem. And the voltage detection subsystem is used for selecting whether to awaken the AI voice interaction subsystem according to the voltage state of the charging interface. And the AI voice interaction subsystem is used for selectively switching on the quick charge selection switch or the slow charge selection switch according to a result of human-computer voice interaction so as to charge the battery pack. And when the result of man-machine voice interaction is not obtained, the AI voice interaction subsystem is used for selectively switching on the fast charging selection switch in the daytime state and selectively switching on the slow charging selection switch in the evening state so as to charge the battery pack. And the electric quantity detection subsystem is used for detecting the electric quantity state of the battery pack. And under the state that the quick charge selection switch is switched on, when the electric quantity of the battery pack reaches a preset end value, the quick charge selection switch is switched off. And when the slow charging selection switch is switched on and the electric quantity of the battery pack reaches a preset intermediate value, the thermal management subsystem is awakened so as to increase the temperature of the environment where the battery pack is located. And when the electric quantity of the battery pack reaches a preset end value, the thermal management subsystem and the slow charging selection switch are switched off.
In one embodiment, the preset intermediate value is 30% of the rated charge value of the battery pack.
As an embodiment, the AI voice interaction subsystem is configured with the following voice interaction methods: and sending voice request information to the user. And receiving voice feedback information of a user, and if the receiving time is within a set time range, performing voice recognition and selecting to switch on the fast charging selection switch or the slow charging selection switch. And if the receiving time is not within the set time range, not performing voice recognition.
As an embodiment, in the voice interaction method, sending voice request information to a user includes the following steps: and judging whether the user is in the vehicle. And when the user is in the vehicle, sending voice request information to the vehicle-mounted terminal which is connected with the AI voice interaction subsystem. And when the user is not in the vehicle, determining the distance between the user and the vehicle according to the GPS information of the vehicle-mounted terminal and the GPS information of the mobile terminal. And if the distance is smaller than a set value, sending voice request information to the mobile terminal which establishes connection with the AI voice interaction subsystem. And if the distance is greater than the set value, sending a vibration control instruction and voice prompt information to the mobile terminal. Wherein the distance represented by the set value is 80% of the maximum allowable distance for establishing the connection between the AI voice interactive subsystem and the mobile terminal.
As an embodiment, in the voice interaction method, the voice recognition includes the steps of: and screening key words in the voice feedback information. And if the key vocabulary belongs to the first online vocabulary library, selecting to switch on the quick charge selection switch. And if the key vocabulary belongs to a second online vocabulary library, selecting to switch on the slow charging selection switch.
As an embodiment, in the voice interaction method, the voice recognition includes the steps of: and screening key words in the voice feedback information. And if the key vocabulary does not belong to the first online vocabulary library and the second online vocabulary library, sending the voice request information to the user again. And receiving the voice feedback information of the user again for voice recognition, and screening the key words in the voice feedback information until the key words belong to the first online word bank or the second online word bank. And adding the unidentified key vocabulary to the first online vocabulary library or the second online vocabulary library according to the selection results of the fast charging selection switch and the slow charging selection switch. If the number of times of performing speech recognition exceeds a set value, speech recognition is not performed.
In one embodiment, the first online vocabulary library is an editable vocabulary library.
In one embodiment, the second online vocabulary library is an editable vocabulary library.
In one embodiment, the battery pack includes a front battery and a rear battery. And a heat management channel is arranged between the front-row battery and the rear-row battery. The front-row battery comprises a plurality of first single batteries with equal capacity, and the first single batteries are connected in parallel. The rear-row battery comprises a plurality of second single batteries with the same capacity, and the second single batteries are connected in parallel.
Another technical solution of the present invention is an energy storage method with an intelligent sleep function, including a voltage detection step: selecting whether to awaken the AI voice interaction subsystem according to the voltage state of the charging interface; energy storage selection: selecting to connect fast charging or slow charging according to the result of the man-machine voice interaction so as to charge and store energy for the battery pack; when the result of human-computer voice interaction is not obtained, selecting fast charging in the daytime state and selecting slow charging in the evening state so as to charge and store energy for the battery pack; electric quantity detection: detecting the electric quantity state of the battery pack; during quick charge, stopping the quick charge when the electric quantity of the battery pack reaches a preset end value; during slow charging, when the electric quantity of the battery matching group reaches a preset intermediate value, the temperature of the environment where the battery matching group is located is increased, and then charging and energy storage are continued until the electric quantity of the battery matching group reaches a preset end value, and slow charging is stopped.
Compared with the prior art, the intelligent sleep system has the beneficial effects that the intelligent sleep function is realized, and the quick charge or the slow charge can be selected when the intelligent sleep system quits the sleep according to the artificial intelligent voice interaction result. If the man-machine voice interaction result is not obtained, the charging mode is intelligently selected according to the day or the night. And the fast charging is selected in the daytime, and the slow charging is selected firstly and then the fast charging is selected in the evening. And the temperature of the environment is changed in the evening to improve the effective capacity of the battery pack, so that the cruising ability of the new energy automobile in the next day is improved. The management of outdoor charging of the new energy automobile is standardized on the whole.
Drawings
Fig. 1 is a system block diagram of an energy storage device with an intelligent sleep function according to an embodiment of the present invention;
fig. 2 is a perspective view of a battery pack according to an embodiment of the present invention.
In the figure: 100. matching batteries; 110. a front row of batteries; 120. a rear row of batteries; 101. a first cell; 102. a second cell.
Detailed Description
The foregoing and additional embodiments and advantages of the present invention are described more fully hereinafter with reference to the accompanying drawings. It is to be understood that the described embodiments are merely some, and not all, embodiments of the invention.
In one embodiment, as shown in FIG. 1. In this embodiment, the energy storage device with the intelligent sleep function includes an AI voice interaction subsystem, a fast charge selection switch, a slow charge selection switch, a voltage detection subsystem for a charge interface, an electric quantity detection subsystem for battery grouping, and a thermal management subsystem. In this embodiment, the AI voice interaction subsystem is an intelligent subsystem integrating voice recognition, voice interaction, and control, and has been widely applied in the field of smart homes. The heat management subsystem is an intelligent subsystem for controlling the charging temperature of the battery matching group in the new energy automobile and is used more in lithium batteries. In this embodiment, the voltage detection subsystem is configured to select whether to wake up the AI voice interaction subsystem according to a voltage state of the charging interface. The AI voice interaction subsystem is used for selectively switching on the quick charge selection switch or the slow charge selection switch according to the result of the man-machine voice interaction so as to charge the battery pack. And when the result of the man-machine voice interaction is not obtained, the AI voice interaction subsystem is used for selectively switching on the fast charging selection switch in the daytime state and selectively switching on the slow charging selection switch in the evening state so as to charge the battery pack. The electric quantity detection subsystem is used for detecting the electric quantity state of the battery pack. And under the state that the quick charge selection switch is switched on, when the electric quantity of the battery pack reaches a preset end value, the quick charge selection switch is switched off. When the slow charging selection switch is switched on, and the electric quantity of the battery pack reaches a preset intermediate value, the thermal management subsystem is awakened so as to increase the temperature of the environment where the battery pack is located. And when the electric quantity of the battery pack reaches a preset end value, the thermal management subsystem and the slow charging selection switch are switched off. Therefore, in the embodiment, the outdoor charging management system of the new energy automobile selects fast charging or slow charging according to the artificial intelligence voice interaction result. If the man-machine voice interaction result is not obtained, the charging mode is intelligently selected according to the day or the night. And the fast charging is selected in the daytime, and the slow charging is selected firstly and then the fast charging is selected in the evening. And the temperature of the environment is changed in the evening to improve the effective capacity of the battery pack, so that the cruising ability of the new energy automobile in the next day is improved. The management of outdoor charging of the new energy automobile is standardized on the whole. It should be noted that during the night the ambient temperature is low and the effective capacity of the lithium battery decreases, for example, the display screen shows that the battery is full, in fact, only 60-70% of the battery is charged. Thus changing the ambient temperature during the night can alleviate this situation, bringing the actual charge close to 100% charge. Moreover, the slow charging is carried out before the fast charging is carried out at night, so that the time consumed by charging can be prolonged. The time of idle power failure in a low-temperature environment after charging is reduced, and the cruising ability of the new energy automobile in the next day is improved.
In one embodiment, the AI voice interaction subsystem is configured with the following voice interaction methods: and sending voice request information to the user. Enabling voice interaction to be guided by voice request information. And receiving voice feedback information of a user, and if the receiving time is within a set time range, performing voice recognition and selecting to switch on the fast charging selection switch or the slow charging selection switch. And if the receiving time is not within the set time range, not performing voice recognition. Therefore, in the present embodiment, erroneous speech recognition can be avoided. Furthermore, the effect of voice interaction is improved, and the interruption of voice interaction caused by the walking of the user is prevented. In one embodiment, in the voice interaction method, sending voice request information to a user includes the following steps: and judging whether the user is in the vehicle. Can be detected by a pressure sensor on the driver seat. And when the user is in the vehicle, sending voice request information to the vehicle-mounted terminal connected with the AI voice interaction subsystem. And when the user is not in the vehicle, determining the distance between the user and the vehicle according to the GPS information of the vehicle-mounted terminal and the GPS information of the mobile terminal. And if the distance is smaller than the set value, sending voice request information to the mobile terminal which is connected with the AI voice interaction subsystem. And if the distance is greater than the set value, sending a vibration control instruction and voice prompt information to the mobile terminal. Wherein, the distance represented by the set value is 80% of the maximum allowable distance for establishing the connection between the AI voice interactive subsystem and the mobile terminal. Therefore, in the embodiment, the effect of voice interaction is improved within a controllable distance, and the user is prevented from walking to cause interruption of voice interaction. And the user can still carry out voice interaction outside the vehicle.
In one embodiment, in the voice interaction method, the voice recognition comprises the following steps: and screening key words in the voice feedback information. And if the key vocabulary belongs to the first online vocabulary library, selecting to switch on the quick charge selection switch. And if the key vocabulary belongs to the second online vocabulary library, selecting to switch on the slow charging selection switch. Furthermore, the exclusive vocabulary library can be customized according to the difference of individual accents so as to improve the recognition rate. In one embodiment, in the voice interaction method, the voice recognition comprises the following steps: and screening key words in the voice feedback information. And if the key vocabulary does not belong to the first online vocabulary library and the second online vocabulary library, sending the voice request information to the user again. And receiving the voice feedback information of the user again to perform voice recognition, and screening the key words in the voice feedback information until the key words belong to the first online word bank or the second online word bank. And adding the unidentified key vocabulary to the first online vocabulary library or the second online vocabulary library according to the selection results of the fast charge selection switch and the slow charge selection switch. If the number of times of performing speech recognition exceeds a set value, speech recognition is not performed. The AI voice interaction subsystem improves the rate of recognition of the user's voice as usage time increases, in the event that the first and second online vocabulary libraries may add unrecognized key words. Unusual user experience can be brought.
In one embodiment, the energy storage method with the intelligent sleep function comprises a voltage detection step, an energy storage selection step and an electric quantity detection step. And in the voltage detection step, selecting whether to awaken the AI voice interaction subsystem according to the voltage state of the charging interface. In the energy storage selection step, selecting to connect fast charging or slow charging according to the result of the human-computer voice interaction so as to charge and store energy for the battery pack; and when the result of human-computer voice interaction is not obtained, selecting fast charging in the daytime state and selecting slow charging in the evening state so as to charge and store energy for the battery pack. In the electric quantity detection step, the electric quantity state of the battery pack is detected; during quick charge, stopping the quick charge when the electric quantity of the battery pack reaches a preset end value; during slow charging, when the electric quantity of the battery matching group reaches a preset intermediate value, the temperature of the environment where the battery matching group is located is increased, and then charging and energy storage are continued until the electric quantity of the battery matching group reaches a preset end value, and slow charging is stopped.
In the embodiment, the energy storage method with the intelligent sleep function can select fast charging or slow charging after exiting from the sleep according to the artificial intelligent voice interaction result. If the man-machine voice interaction result is not obtained, the charging mode is intelligently selected according to the day or the night. And the fast charging is selected in the daytime, and the slow charging is selected firstly and then the fast charging is selected in the evening. And the temperature of the environment is changed in the evening to improve the effective capacity of the battery pack, so that the cruising ability of the new energy automobile in the next day is improved. The management of outdoor charging of the new energy automobile is standardized on the whole.
In one embodiment, as shown in FIG. 2. In the present embodiment, the battery pack 100 includes a front battery 110 and a rear battery 120. A thermal management channel is provided between the front row of batteries 110 and the rear row of batteries 120. The front battery 110 includes a plurality of first cells 101 having the same capacity, and the first cells 101 are connected in parallel. The rear battery 120 includes a plurality of second cells 102 having the same capacity, and the second cells 102 are connected in parallel. The first cell 101 and the second cell 102 have the same capacity.
The above-described embodiments further explain the object, technical means, and advantageous effects of the present invention in detail. It should be understood that the above description is only exemplary of the present invention, and is not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.
Claims (10)
1. An energy storage device with an intelligent sleep function is characterized by comprising an AI voice interaction subsystem, a fast charge selection switch, a slow charge selection switch, a voltage detection subsystem for a charge interface, an electric quantity detection subsystem for battery grouping and a thermal management subsystem;
the voltage detection subsystem is used for selecting whether to awaken the AI voice interaction subsystem according to the voltage state of the charging interface;
the AI voice interaction subsystem is used for selectively switching on the quick charge selection switch or the slow charge selection switch according to the result of human-computer voice interaction so as to charge the battery pack; when the result of human-computer voice interaction is not obtained, the AI voice interaction subsystem is used for selectively switching on the fast charging selection switch in the daytime state and selectively switching on the slow charging selection switch in the evening state so as to charge the battery pack;
the electric quantity detection subsystem is used for detecting the electric quantity state of the battery pack;
under the state that the quick charge selection switch is switched on, when the electric quantity of the battery pack reaches a preset end value, the quick charge selection switch is switched off;
when the slow charging selection switch is switched on and the electric quantity of the battery pack reaches a preset intermediate value, the thermal management subsystem is awakened so as to increase the temperature of the environment where the battery pack is located; and when the electric quantity of the battery pack reaches a preset end value, the thermal management subsystem and the slow charging selection switch are switched off.
2. The energy storage device with intelligent sleep function according to claim 1, comprising an AI voice interaction subsystem, a fast charge selection switch and a slow charge selection switch, wherein the preset intermediate value is 30% of the rated value of the battery pack.
3. The energy storage device with intelligent sleep function as claimed in claim 1, wherein the AI voice interaction subsystem is configured with the following voice interaction methods:
sending voice request information to a user;
receiving voice feedback information of a user, if the receiving time is within a set time range, performing voice recognition, and selecting to switch on the fast charging selection switch or the slow charging selection switch; and if the receiving time is not within the set time range, not performing voice recognition.
4. The energy storage device with intelligent sleep function as claimed in claim 3, wherein in the voice interaction method, sending voice request information to the user comprises the following steps:
judging whether the user is in the vehicle or not;
when the user is in the vehicle, sending voice request information to a vehicle-mounted terminal which is connected with the AI voice interaction subsystem; when the user is not in the vehicle, determining the distance between the user and the vehicle according to the GPS information of the vehicle-mounted terminal and the GPS information of the mobile terminal; if the distance is smaller than a set value, sending voice request information to the mobile terminal which establishes connection with the AI voice interaction subsystem; if the distance is greater than the set value, a vibration control instruction and voice prompt information are sent to the mobile terminal; wherein the distance represented by the set value is 80% of the maximum allowable distance for establishing the connection between the AI voice interactive subsystem and the mobile terminal.
5. The energy storage device with intelligent sleep function as claimed in claim 3, wherein in the voice interaction method, the voice recognition comprises the following steps:
screening key words in the voice feedback information;
if the key vocabulary belongs to a first online vocabulary library, selecting to switch on the quick charge selection switch; and if the key vocabulary belongs to a second online vocabulary library, selecting to switch on the slow charging selection switch.
6. The energy storage device with intelligent sleep function as claimed in claim 5, wherein in the voice interaction method, the voice recognition comprises the following steps:
screening key words in the voice feedback information;
if the key vocabulary does not belong to the first online vocabulary library and the second online vocabulary library, sending voice request information to the user again;
receiving voice feedback information of the user again to perform voice recognition, and screening key words in the voice feedback information until the key words belong to the first online word bank or the second online word bank; adding the unidentified key vocabulary to the first online vocabulary library or the second online vocabulary library according to the selection results of the fast charging selection switch and the slow charging selection switch; if the number of times of performing speech recognition exceeds a set value, speech recognition is not performed.
7. The energy storage device with intelligent sleep function as claimed in claim 6, wherein the first online vocabulary library is an editable vocabulary library.
8. The energy storage device with intelligent sleep function as claimed in claim 6, wherein the second online vocabulary library is an editable vocabulary library.
9. The energy storage device with intelligent sleeping function according to claim 1, wherein the battery pack (100) comprises a front battery (110) and a rear battery (120); a heat management channel is arranged between the front row of batteries (110) and the rear row of batteries (120); the front-row battery (110) comprises a plurality of first battery cells (101) with equal capacity, and the first battery cells (101) are connected in parallel; the rear row battery (120) comprises a plurality of second single batteries (102) with equal capacity, and the second single batteries (102) are connected in parallel.
10. An energy storage method with an intelligent dormancy function is characterized by comprising
A voltage detection step: selecting whether to awaken the AI voice interaction subsystem according to the voltage state of the charging interface;
energy storage selection: selecting to connect fast charging or slow charging according to the result of the man-machine voice interaction so as to charge and store energy for the battery pack; when the result of human-computer voice interaction is not obtained, selecting fast charging in the daytime state and selecting slow charging in the evening state so as to charge and store energy for the battery pack;
electric quantity detection: detecting the electric quantity state of the battery pack; during quick charge, stopping the quick charge when the electric quantity of the battery pack reaches a preset end value; during slow charging, when the electric quantity of the battery matching group reaches a preset intermediate value, the temperature of the environment where the battery matching group is located is increased, and then charging and energy storage are continued until the electric quantity of the battery matching group reaches a preset end value, and slow charging is stopped.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112086089A (en) * | 2020-09-01 | 2020-12-15 | 湖南安德丰新能源科技有限公司 | Battery voice control system |
| CN112477693A (en) * | 2020-11-12 | 2021-03-12 | 浙江合众新能源汽车有限公司 | Slow charging control method and device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104080658A (en) * | 2012-01-25 | 2014-10-01 | 丰田自动车株式会社 | Vehicle remote operation information provision device, vehicle-mounted remote operation information acquisition device, and vehicle remote operation system comprising these devices |
| CN105186631A (en) * | 2015-10-16 | 2015-12-23 | 东软集团股份有限公司 | Electric vehicle intelligent charging system, communication terminal and charging control method |
| CN205544456U (en) * | 2016-03-25 | 2016-08-31 | 北京新能源汽车股份有限公司 | Fill electric pile and fill electric pile system |
| CN206031040U (en) * | 2016-08-29 | 2017-03-22 | 郑州中电新能源汽车有限公司 | Pulling type battery module electrical system |
| CN108544973A (en) * | 2018-06-14 | 2018-09-18 | 上海牛仁汽车有限公司 | The control method of new energy car battery and its battery operated mode |
| CN109788128A (en) * | 2018-12-27 | 2019-05-21 | 深圳市优必选科技有限公司 | A kind of income prompting method, incoming call prompting device and terminal device |
-
2019
- 2019-11-07 CN CN201911080569.2A patent/CN110752640B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104080658A (en) * | 2012-01-25 | 2014-10-01 | 丰田自动车株式会社 | Vehicle remote operation information provision device, vehicle-mounted remote operation information acquisition device, and vehicle remote operation system comprising these devices |
| CN105186631A (en) * | 2015-10-16 | 2015-12-23 | 东软集团股份有限公司 | Electric vehicle intelligent charging system, communication terminal and charging control method |
| CN205544456U (en) * | 2016-03-25 | 2016-08-31 | 北京新能源汽车股份有限公司 | Fill electric pile and fill electric pile system |
| CN206031040U (en) * | 2016-08-29 | 2017-03-22 | 郑州中电新能源汽车有限公司 | Pulling type battery module electrical system |
| CN108544973A (en) * | 2018-06-14 | 2018-09-18 | 上海牛仁汽车有限公司 | The control method of new energy car battery and its battery operated mode |
| CN109788128A (en) * | 2018-12-27 | 2019-05-21 | 深圳市优必选科技有限公司 | A kind of income prompting method, incoming call prompting device and terminal device |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112086089A (en) * | 2020-09-01 | 2020-12-15 | 湖南安德丰新能源科技有限公司 | Battery voice control system |
| CN112477693A (en) * | 2020-11-12 | 2021-03-12 | 浙江合众新能源汽车有限公司 | Slow charging control method and device |
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| CN110752640B (en) | 2021-06-01 |
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