CN117094538A - Battery analysis-based battery replacement path management method and system - Google Patents
Battery analysis-based battery replacement path management method and system Download PDFInfo
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Abstract
The invention relates to the technical field of battery management and discloses a battery analysis-based battery replacement management method and system.
Description
Technical Field
The invention relates to the technical field of battery management, in particular to a battery analysis-based battery replacement path management method and system.
Background
With the development of the take-away industry and the express industry, the number of people using the battery car is greatly increased, and for the workers of the take-away industry and the express industry, the battery car is frequently used, and when the electric quantity of the battery car is low, the battery car needs to be replaced in time so as to ensure the endurance of the battery car.
At present, a battery replacement cabinet is established everywhere in a city, the battery of the battery car can be replaced, a driver of the battery car is usually required to select a proper battery replacement cabinet for the battery car to replace the battery, and the following problems exist in the mode: the efficiency is lower, find after going to the battery replacement cabinet that the battery replacement cabinet has not had remaining removable storage battery, go to after the last storage battery of battery replacement cabinet replacement that is close to, lead to other storage battery cars unable at this change storage battery.
Disclosure of Invention
The invention aims to provide a battery analysis-based power change path management method and system, and aims to solve the problem of low efficiency of a power change cabinet selected manually in the prior art.
The present invention is achieved in that, in a first aspect, the present invention provides a battery analysis-based battery replacement path management method, including:
collecting the position information of all the battery changing cabinets in the target area, and constructing a map of the target area according to the position information of the battery changing cabinets;
acquiring real-time position information and target position information of an electric vehicle, and generating an expected running path of the electric vehicle on a map according to the real-time position information and the target position information;
acquiring real-time electric quantity information of the battery car, when the real-time electric quantity information meets a preset standard, generating a power conversion range and a power conversion emergency degree of the battery car according to the real-time electric quantity information, and generating an expected power conversion area of the battery car on a map according to the expected running path, the power conversion range and the power conversion emergency degree;
generating expected power change information of each power change cabinet according to all the expected power change areas on a map, acquiring exchangeable battery data and power change orders of each power change cabinet, and generating power change priority weights of the power change cabinets according to the expected power change information, the exchangeable battery data and the power change orders of each power change cabinet;
when a power change request is received, determining a target power change cabinet according to the power change priority weights of the power change cabinets in the expected power change area, and placing a power change order for the target power change cabinet.
Preferably, the step of obtaining real-time position information and target position information of the battery car and generating the expected running path of the battery car on a map according to the real-time position information and the target position information includes:
acquiring real-time position information of the battery car, and setting a starting position on a map according to the real-time position information;
acquiring a plurality of target position information of the battery car, and setting target positions on the map according to the target position information;
generating the expected running path on a map according to the starting position and each target position; the expected travel path is used for connecting the starting position and each target position;
and continuously collecting the real-time position information, and correcting the expected running path according to the real-time position information.
Preferably, the step of generating the battery-changing range and the battery-changing emergency degree of the battery car according to the real-time electric quantity information, and generating the expected battery-changing area of the battery car on a map according to the expected running path, the battery-changing range and the battery-changing emergency degree includes:
analyzing the real-time electric quantity information according to a preset standard, obtaining an electric quantity grade of the real-time electric quantity information, and calling a corresponding power conversion range and a corresponding power conversion emergency degree from a preset database according to the electric quantity grade;
generating a range of the expected power change area on a map according to the power change range by taking the expected running path as a reference on the map, and binding the power change emergency degree with the expected power change area;
and continuously monitoring the real-time electric quantity information, and correcting the expected power conversion area according to the monitoring result.
Preferably, the step of generating the expected power conversion information of each power conversion cabinet according to all the expected power conversion areas on the map includes:
acquiring the position information of each battery changing cabinet on the battery changing cabinet, and searching the position information of each battery changing cabinet in each expected battery changing area;
generating an expected power conversion set of the power conversion cabinet according to the expected power conversion areas containing the position information of the power conversion cabinet according to the retrieval result; the expected power change set comprises each expected power change area containing position information of the power change cabinet;
acquiring real-time position information of the battery car corresponding to each expected power change area in the expected power change set, and generating real-time distance information of the battery car and the power change cabinet according to the position information of the power change cabinet and the real-time position information of the battery car;
binding the battery-changing emergency degree of the battery car with the real-time distance information, generating an expected battery-changing label of the battery car, and integrating the expected battery-changing labels of the battery car corresponding to the expected battery-changing areas in the expected battery-changing set to obtain the expected battery-changing information of the battery-changing cabinet.
Preferably, the step of obtaining the exchangeable battery data and the exchangeable battery orders of the electric change cabinets and generating the electric change priority weights of the electric change cabinets according to the expected electric change information, the exchangeable battery data and the electric change orders of the electric change cabinets includes:
acquiring exchangeable battery data of each battery changing cabinet, and generating first weight parameters of each battery changing cabinet according to the exchangeable battery data;
acquiring a power change order of each power change cabinet, and generating a second weight parameter of each power change cabinet according to the power change order;
calculating the difference value of the first weight parameter and the second weight parameter to obtain the basic power conversion weight of each power conversion cabinet;
and acquiring expected power conversion information of each power conversion cabinet, generating additional power conversion weights according to the expected power conversion information, and binding the basic power conversion weights with the additional power conversion weights to generate power conversion priority weights of each power conversion cabinet.
In a second aspect, the present invention provides a battery analysis-based battery replacement management system, comprising: battery state acquisition device and intelligent terminal;
the battery state acquisition device is arranged in the battery car and is used for checking the real-time electric quantity information of the battery car;
the intelligent terminal is installed on the battery car, the intelligent terminal is connected with the battery state acquisition device through wireless data, and the intelligent terminal is used for storing and executing the battery analysis-based battery replacement path management method according to any one of the first aspect.
The invention provides a battery analysis-based battery replacement path management method, which has the following beneficial effects:
1. according to the method, a map of a target area is built in advance, an expected running path is generated according to real-time electric quantity information and target position information of the battery car, an expected electricity exchanging area is generated on the map by combining the real-time electric quantity information and the expected running path, expected electricity exchanging information of each electricity exchanging cabinet is generated according to all the expected electricity exchanging areas on the map, electricity exchanging priority weights of the electricity exchanging cabinets are generated by combining exchangeable battery data and electricity exchanging orders of the electricity exchanging cabinets on the basis of the expected electricity exchanging information, analysis is carried out according to the electricity exchanging priority weights of the electricity exchanging cabinets in the expected electricity exchanging area of the battery car, and therefore the target electricity exchanging cabinets of the battery car can be obtained and orders can be issued, and the problem that in the prior art, efficiency of manually selecting the electricity exchanging cabinets is low is solved.
2. According to the method, the expected electricity changing information of the electricity changing cabinet is considered in the selection of the electricity changing cabinet of the electric vehicle, the expected electricity changing information comprises all the expected electricity changing areas containing the electricity changing cabinet, the expected electricity changing areas are bound with the electricity changing emergency degree of the electric vehicle, namely, the electricity changing priority order of the electric vehicle at the place of the electricity changing cabinet can be obtained through the expected electricity changing information of the electricity changing cabinet, and then according to the expected electricity changing information, whether the electric vehicle can cause that other electric vehicles with higher electricity changing emergency degree cannot timely change the electric vehicle or not can be judged, and if so, the electric vehicle is arranged to change the electric vehicle to other electricity changing cabinets in the expected electricity changing area, so that the problem is avoided.
Drawings
Fig. 1 is a schematic step diagram of a battery analysis-based power change management method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a battery analysis-based battery replacement management system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The same or similar reference numerals in the drawings of the present embodiment correspond to the same or similar components; in the description of the present invention, it should be understood that, if there is an azimuth or positional relationship indicated by terms such as "upper", "lower", "left", "right", etc., based on the azimuth or positional relationship shown in the drawings, it is only for convenience of describing the present invention and simplifying the description, but it is not indicated or implied that the apparatus or element referred to must have a specific azimuth, be constructed and operated in a specific azimuth, and thus terms describing the positional relationship in the drawings are merely illustrative and should not be construed as limiting the present invention, and specific meanings of the terms described above may be understood by those of ordinary skill in the art according to specific circumstances.
The implementation of the present invention will be described in detail below with reference to specific embodiments.
Referring to fig. 1 and 2, a preferred embodiment of the present invention is provided.
In a first aspect, the present invention provides a battery analysis-based battery replacement path management method, including:
s1: acquiring real-time position information, real-time electric quantity information and target position information of an electric vehicle, generating an expected running path of the electric vehicle on a map according to the real-time position information and the target position information, and generating an expected power conversion area of the electric vehicle on the map according to the expected running path and the real-time electric quantity information;
s2: generating expected power change information of each power change cabinet in a map range according to all the expected power change areas on the map, acquiring exchangeable battery data and power change orders of each power change cabinet, and generating power change priority weights of the power change cabinets according to the expected power change information, the exchangeable battery data and the power change orders of each power change cabinet;
s3: when a power change request is received, determining a target power change cabinet according to the power change priority weights of the power change cabinets in the expected power change area, and placing a power change order for the target power change cabinet.
In step S1 of the method provided by the present invention, the working areas of the battery car are usually concentrated in cities, and distances between the cities are different, so that different cities are divided into different target areas, each target area is respectively subjected to circuit switching path management, and it should be noted that besides the division of the target areas according to the cities, one city can be divided into a plurality of target areas.
Specifically, the position information of all the battery changing cabinets in the target area is collected, and a map of the target area is constructed according to the position information of the battery changing cabinets.
More specifically, the real-time position information and the target position information of the battery car are obtained, and the expected running path of the battery car is generated on the map according to the real-time position information and the target position information.
It can be understood that according to the expected running path and the position information of each battery changing cabinet, the positions of the battery changing cabinets close to the expected running path of the battery car in the running process of the battery car can be obtained, so that the battery car can be judged to which battery changing cabinet to change the electricity most efficiently in the running process, and a battery car driver can finish battery changing with optimal efficiency, and the working efficiency is ensured.
More specifically, the real-time electric quantity information of the battery car is obtained, and when the real-time electric quantity information meets the preset standard, the battery-changing range and the battery-changing emergency degree of the battery car are generated according to the real-time electric quantity information.
More specifically, when the real-time electric quantity information in the above steps meets the predetermined standard, it means that when the real-time electric quantity information is lower than the value of the predetermined standard, the battery car is in a low-electric-quantity state, and the battery car can be replaced, and it is to be noted that, according to the specific electric quantity value of the battery car, the distance along which the battery car can still run and the emergency degree of the battery car to be replaced are different, so that after the real-time electric quantity information meets the predetermined standard, the real-time electric quantity information is continuously monitored, and the electric-change range and the electric-change emergency degree of the battery car are generated according to the monitored result, and it is to be understood that the electric-change range and the electric-change emergency degree are changed along with the change of the real-time electric quantity information of the battery car.
More specifically, an expected power change area of the battery car is generated on the map according to the expected running path, the power change range and the power change emergency degree.
The battery replacement range is defined on the map by taking the real-time position information of the battery car as a reference, and the battery replacement cabinet contained in the defined range is the battery replacement cabinet capable of providing battery replacement service for the battery car.
It can be understood that the battery car will operate according to the expected operation path, that is, the expected operation path is composed of real-time position information of a plurality of continuous battery cars, so when the expected battery change area of the battery car is generated on the map, the expected operation path needs to be used as a reference, the range is defined according to the battery change range on the map, all the defined ranges on the map are the expected battery change area of the battery car, and the battery change cabinets in the expected battery change area are all battery change cabinets capable of changing the battery.
More specifically, each expected power conversion area has a power conversion emergency degree corresponding to the battery car, the power conversion emergency degree of the expected power conversion area is used for classifying the expected power conversion areas, and the different classified expected power conversion areas have different priority degrees, so that distribution of power conversion paths in a subsequent process is facilitated.
In step S2 of the method provided by the invention, the expected power change information of each power change cabinet is generated according to all the expected power change areas on the map, the replaceable battery data and the power change orders of each power change cabinet are obtained, and the power change priority weights of the power change cabinets are generated according to the expected power change information, the replaceable battery data and the power change orders of each power change cabinet.
Specifically, on the map, there are multiple expected battery change areas of the battery car at the same time, and the battery change cabinet in the expected battery change areas of the battery car represents that the battery car has efficiency of changing the battery to the battery change area, so that the battery change cabinet is in an expected battery change area, which represents that the battery car has possibility of changing the battery in front of the battery car.
More specifically, a plurality of storage batteries are stored in the battery changing cabinet and are charged, some of the storage batteries are in a state that the charging is completed and the storage batteries can not be replaced, and it is easy to see that the storage batteries fully charged in the battery changing cabinet are the number of the storage batteries which can provide the replacement service at most, and because the number of the storage batteries which can be replaced by different battery changing cabinets at different time points is different, the battery changing priority weight of each battery changing cabinet is different for the battery car.
More specifically, before the battery car is replaced at the battery exchange cabinet, a battery exchange order needs to be placed at the battery exchange cabinet in advance, so it can be seen that, when the battery exchange cabinet receives the battery exchange order, for other battery cars, the number of the actual available battery cells of the battery exchange cabinet is reduced, and therefore the battery exchange priority weight of the battery exchange cabinet also needs to consider the battery exchange orders received in each battery exchange cabinet.
The invention provides a battery analysis-based battery replacement path management method, which has the following beneficial effects:
1. according to the method, a map of a target area is built in advance, an expected running path is generated according to real-time electric quantity information and target position information of the battery car, an expected electricity exchanging area is generated on the map by combining the real-time electric quantity information and the expected running path, expected electricity exchanging information of each electricity exchanging cabinet is generated according to all the expected electricity exchanging areas on the map, electricity exchanging priority weights of the electricity exchanging cabinets are generated by combining exchangeable battery data and electricity exchanging orders of the electricity exchanging cabinets on the basis of the expected electricity exchanging information, analysis is carried out according to the electricity exchanging priority weights of the electricity exchanging cabinets in the expected electricity exchanging area of the battery car, and therefore the target electricity exchanging cabinets of the battery car can be obtained and orders can be issued, and the problem that in the prior art, efficiency of manually selecting the electricity exchanging cabinets is low is solved.
2. According to the method, the expected electricity changing information of the electricity changing cabinet is considered in the selection of the electricity changing cabinet of the electric vehicle, the expected electricity changing information comprises all the expected electricity changing areas containing the electricity changing cabinet, the expected electricity changing areas are bound with the electricity changing emergency degree of the electric vehicle, namely, the electricity changing priority order of the electric vehicle at the place of the electricity changing cabinet can be obtained through the expected electricity changing information of the electricity changing cabinet, and then according to the expected electricity changing information, whether the electric vehicle can cause that other electric vehicles with higher electricity changing emergency degree cannot timely change the electric vehicle or not can be judged, and if so, the electric vehicle is arranged to change the electric vehicle to other electricity changing cabinets in the expected electricity changing area, so that the problem is avoided.
Preferably, the step of generating the expected running path of the battery car on the map according to the real-time position information and the target position information includes:
s21: acquiring real-time position information of the battery car, and setting a starting position on a map according to the real-time position information;
s22: acquiring a plurality of target position information of the battery car, and setting target positions on the map according to the target position information;
s23: generating the expected running path on a map according to the starting position and each target position; the expected travel path is used for connecting the starting position and each target position;
s24: and continuously collecting the real-time position information, and correcting the expected running path according to the real-time position information.
Specifically, the expected running path is a path of the battery car to be run in a later period of time, and considering the efficiency of replacing the battery and avoiding the problem that the battery is completely replaced when going to the battery replacement cabinet.
More specifically, the expected running path needs at least one starting position and one target position, it can be understood that the starting position is the current real-time position of the electric vehicle, the target position is the position to which the electric vehicle is going, for the crowd using the electric vehicle with high frequency, the target position is the target place of take-out and express delivery, because the take-out and express delivery are usually carried together by a plurality of objects, a plurality of target position information usually exists at the same time, the expected running path comprises a plurality of nodes, the electric vehicle driver is going to the nodes in turn, and the electric vehicle driver can run on the same road section for a plurality of times in the running process.
More specifically, for takers and couriers, the map instruction needs to be sent to a target position, so that the method and the system can be combined with a map instruction function, and after receiving a takeout order and an courier order, the intelligent terminal automatically generates target position information to generate an expected running path so as to guide the takers and the couriers to drive and run, and meanwhile, the method and the system are also used for calculating the change path of the method and the system.
Preferably, the step of generating the expected power conversion area of the battery car on the map according to the expected running path and the real-time electric quantity information includes:
s31: analyzing the real-time electric quantity information according to a preset standard, obtaining an electric quantity grade of the real-time electric quantity information, and calling a corresponding power conversion range and a corresponding power conversion emergency degree from a preset database according to the electric quantity grade;
s32: generating a range of the expected power change area on a map according to the power change range by taking the expected running path as a reference on the map, and binding the power change emergency degree with the expected power change area;
s33: and continuously monitoring the real-time electric quantity information, and correcting the expected power conversion area according to the monitoring result.
In particular, in order to avoid the waste of battery resources, the battery should be preferably replaced for the crowd needing the battery urgently, so the real-time electric quantity information of the battery car needs to be collected and analyzed according to the preset standard, and the battery car is planned to be in the classification of the battery needing to be protected only when the real-time electric quantity information meets the preset standard so as to generate the electricity replacing path.
More specifically, in the storage battery according with the standard, according to the level of the residual electric quantity, further subdivision can be performed, the storage batteries with different residual electric quantities have different power conversion ranges and power conversion emergency degrees, it can be understood that the power level of the storage battery corresponding to the higher residual electric quantity is adjusted to a larger power conversion range and a lower power conversion emergency degree from the preset database, and the power level of the storage battery corresponding to the lower residual electric quantity is adjusted to a smaller power conversion range and a higher power conversion emergency degree from the preset database.
The battery changing range refers to a range in which the battery changing cabinet is suitable for battery changing by taking the real-time position of the battery car as a reference point.
Specifically, since the expected running path is the path of the electric vehicle to be run, that is, the real-time position information of the electric vehicle in the future time period, the range of the electric vehicle for battery replacement in the future is based on the expected running path, and the battery replacement range is expanded, so that the obtained area on the map is the expected battery replacement area of the electric vehicle.
More specifically, the emergency level of power change is used for describing the emergency level of the battery of the electric vehicle corresponding to the expected power change area, the emergency level of power change is bound with the expected power change area, and the purpose of this step is to provide a decision criterion for the subsequent power change generation, for example: and if the battery change cabinet has a space which can be allocated, the battery change cabinet is allocated to the rest of the expected battery change area, and if the space which can be allocated is not available, the battery cars corresponding to the rest of the expected battery change areas need to go to the battery change cabinet which is close to the expected battery change area for battery change.
More specifically, because the electric quantity of the battery car is consumed in the running process, the range and the emergency degree of the expected power change area of the battery car need to be adjusted in real time according to the real-time electric quantity information of the battery car.
Preferably, the step of generating the expected power exchange information of each power exchange cabinet in the map range according to all the expected power exchange areas on the map includes:
s41: acquiring the position information of each battery changing cabinet on a map, and searching the position information of each battery changing cabinet for each expected battery changing area;
s42: generating an expected power conversion set of the power conversion cabinet according to the expected power conversion areas containing the position information of the power conversion cabinet according to the retrieval result; the expected power change set comprises each expected power change area containing position information of the power change cabinet;
s43: acquiring real-time position information of the battery car corresponding to each expected power change area in the expected power change set, and generating real-time distance information of the battery car and the power change cabinet according to the position information of the power change cabinet and the real-time position information of the battery car;
s44: binding the battery-changing emergency degree of the battery car with the real-time distance information, generating an expected battery-changing label of the battery car, and integrating the expected battery-changing labels of the battery car corresponding to the expected battery-changing areas in the expected battery-changing set to obtain the expected battery-changing information of the battery-changing cabinet.
Specifically, in order to distribute the battery packs to all the battery cars needing to be replaced, it is necessary to determine which battery packs exist in the expected battery pack replacement areas of the battery cars, and determine that each battery pack exists in the expected battery pack replacement areas of the battery cars at the same time.
It should be noted that, each expected power change area has a power change emergency degree bound with the expected power change area, and the power change priority degree is used for describing the power change priority degree of the corresponding expected power change area, that is, the battery car corresponding to the expected power change area with the higher power change emergency degree has a higher priority power change right.
Specifically, based on the above description, the expected power change set of the power change cabinet is produced by each expected power change area including the position information of the power change cabinet, and the expected power change set includes a plurality of expected power change areas, where each of the expected power change areas includes the position information of the power change cabinet, in other words, a plurality of expected power change areas included in the expected power change set of one power change cabinet respectively correspond to one battery car that may change power in the power change cabinet.
More specifically, there may be multiple power change cabinets in an expected power change area, so for an electric vehicle, a certain power change cabinet in the expected power change area is not necessarily the only choice, and then the power change cabinets have different choices of sequence for the electric vehicle, so that the sequence of the power change cabinets is determined, namely real-time electric quantity information of the electric vehicle, and real-time distance information between the electric vehicle and the power change cabinets.
More specifically, the real-time position information of the battery car corresponding to each expected power change area in the expected power change set is obtained, and the real-time distance information of the battery car and the power change cabinet is generated according to the position information of the power change cabinet and the real-time position information of the battery car.
More specifically, binding the emergency degree of battery car power change with real-time distance information, generating an expected power change label of the battery car, and integrating the expected power change labels of the battery car corresponding to all the expected power change areas in the expected power change set to obtain the expected power change information of the power change cabinet.
It should be noted that the expected battery exchange information is used for describing information of each battery car that may be replaced by the battery in the battery exchange cabinet, and the expected battery exchange information includes the real-time distance between the battery cars and the battery exchange cabinet and the emergency degree of battery exchange.
Preferably, the step of obtaining the exchangeable battery data and the exchangeable battery orders of the electric change cabinets and generating the electric change priority weights of the electric change cabinets according to the expected electric change information, the exchangeable battery data and the electric change orders of the electric change cabinets includes:
s45: acquiring exchangeable battery data of each battery changing cabinet, and generating first weight parameters of each battery changing cabinet according to the exchangeable battery data;
s46: acquiring a power change order of each power change cabinet, and generating a second weight parameter of each power change cabinet according to the power change order;
s47: calculating the difference value of the first weight parameter and the second weight parameter to obtain the basic power conversion weight of each power conversion cabinet;
s48: and acquiring expected power conversion information of each power conversion cabinet, generating additional power conversion weights according to the expected power conversion information, and binding the basic power conversion weights with the additional power conversion weights to generate power conversion priority weights of each power conversion cabinet.
Specifically, the exchangeable battery data is the number of battery cells which can be replaced in the battery exchange cabinet, and the battery exchange order is the battery exchange order which is issued by each battery car in the battery exchange cabinet and represents the battery cells which are reserved in the battery exchange cabinet.
More specifically, a first weight parameter is generated according to the exchangeable battery data, a second weight parameter is generated according to the battery exchange order, and a difference value between the first weight parameter and the second weight parameter is calculated to obtain a basic battery exchange weight of each battery exchange cabinet.
More specifically, the expected power conversion information of each power conversion cabinet is obtained, additional power conversion weights are generated according to the expected power conversion information, and the basic power conversion weights and the additional power conversion weights are bound to generate the power conversion priority weights of each power conversion cabinet.
When the battery car needs to be replaced, the expected battery replacement area of the battery car is searched to obtain the battery replacement priority weights of all the battery replacement cabinets in the expected battery replacement area, analysis is performed according to the battery replacement priority weights of all the battery replacement cabinets to judge which battery replacement cabinet is the best choice, the battery replacement cabinet is determined to be the target battery replacement cabinet, a battery replacement order is placed, and the battery car can go to the battery replacement after the battery replacement order is placed.
Specifically, the battery replacement priority weight includes two parts, namely a basic battery replacement weight representing how many replaceable batteries are in the battery replacement cabinet, and an additional battery replacement weight representing which battery cars the battery replacement cabinet needs to provide battery replacement service for.
More specifically, when the battery car starts to judge which of the plurality of battery change cabinets in the expected battery change area is most suitable for battery change by itself, firstly judging whether the basic battery change weight of each battery change cabinet has residual replaceable battery, and if the residual replaceable battery does not exist, excluding the battery change cabinet.
The second step, judging the emergency degree sequence of the electric vehicles in each electric cabinet according to the additional electric weights of each electric cabinet, wherein it can be understood that the additional electric weights of the electric cabinets are generated according to the expected electric information of the electric cabinets, the expected electric information of the electric cabinets comprises the expected electric areas containing the electric cabinets, that is to say, the expected electric information comprises the electric vehicles capable of carrying out electric conversion in the electric cabinets, and the electric emergency degree and the real-time distance of the electric vehicles are recorded.
That is, the expected battery replacement information of the battery replacement cabinet can obtain the priority degree of all the battery cars at the battery replacement cabinet, and then the comparison of the basic battery replacement weight and the additional battery replacement weight can prevent other battery cars from being blocked if the number of the remaining replaceable battery cars of the battery replacement cabinet A is larger than the priority order of the battery cars B at the battery replacement cabinet, so that the battery cars cannot be blocked if the number of the remaining replaceable battery cars of the battery replacement cabinet A is smaller than the priority order of the battery cars B at the battery replacement cabinet, and the other battery cars cannot be replaced in time if the battery cars go to the battery replacement cabinet A.
Referring to fig. 2, in a second aspect, the present invention provides a battery analysis-based battery replacement management system, including: battery state acquisition device and intelligent terminal;
the battery state acquisition device is arranged in the battery car and is used for checking the real-time electric quantity information of the battery car;
the intelligent terminal is arranged on the battery car, the intelligent terminal is connected with the battery state acquisition device through wireless data, and the intelligent terminal is used for storing and executing any one of the battery analysis-based battery replacement management method in the first aspect.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (6)
1. A battery analysis-based battery replacement path management method, comprising:
acquiring real-time position information, real-time electric quantity information and target position information of an electric vehicle, generating an expected running path of the electric vehicle on a map according to the real-time position information and the target position information, and generating an expected power conversion area of the electric vehicle on the map according to the expected running path and the real-time electric quantity information;
generating expected power change information of each power change cabinet in a map range according to all the expected power change areas on the map, acquiring exchangeable battery data and power change orders of each power change cabinet, and generating power change priority weights of the power change cabinets according to the expected power change information, the exchangeable battery data and the power change orders of each power change cabinet;
when a power change request is received, determining a target power change cabinet according to the power change priority weights of the power change cabinets in the expected power change area, and placing a power change order for the target power change cabinet.
2. The battery analysis-based battery-change path management method according to claim 1, wherein the step of generating the expected travel path of the battery car on a map according to the real-time location information and the target location information comprises:
acquiring real-time position information of the battery car, and setting a starting position on a map according to the real-time position information;
acquiring a plurality of target position information of the battery car, and setting target positions on the map according to the target position information;
generating the expected running path on a map according to the starting position and each target position; the expected travel path is used for connecting the starting position and each target position;
and continuously collecting the real-time position information, and correcting the expected running path according to the real-time position information.
3. The battery analysis-based battery-change path management method according to claim 1, wherein the step of generating the expected battery change area of the battery car on the map according to the expected travel path and the real-time power information comprises:
analyzing the real-time electric quantity information according to a preset standard, obtaining an electric quantity grade of the real-time electric quantity information, and calling a corresponding power conversion range and a corresponding power conversion emergency degree from a preset database according to the electric quantity grade;
generating a range of the expected power change area on a map according to the power change range by taking the expected running path as a reference on the map, and binding the power change emergency degree with the expected power change area;
and continuously monitoring the real-time electric quantity information, and correcting the expected power conversion area according to the monitoring result.
4. The battery analysis-based power exchange path management method according to claim 1, wherein the step of generating the expected power exchange information of each power exchange cabinet in the map range according to all the expected power exchange areas on the map comprises:
acquiring the position information of each battery changing cabinet on a map, and searching the position information of each battery changing cabinet for each expected battery changing area;
generating an expected power conversion set of the power conversion cabinet according to the expected power conversion areas containing the position information of the power conversion cabinet according to the retrieval result; the expected power change set comprises each expected power change area containing position information of the power change cabinet;
acquiring real-time position information of the battery car corresponding to each expected power change area in the expected power change set, and generating real-time distance information of the battery car and the power change cabinet according to the position information of the power change cabinet and the real-time position information of the battery car;
binding the battery-changing emergency degree of the battery car with the real-time distance information, generating an expected battery-changing label of the battery car, and integrating the expected battery-changing labels of the battery car corresponding to the expected battery-changing areas in the expected battery-changing set to obtain the expected battery-changing information of the battery-changing cabinet.
5. The battery analysis-based battery replacement path management method as set forth in claim 1, wherein the step of obtaining the replaceable battery data and the replacement orders of the respective battery replacement cabinets and generating the replacement priority weights of the battery replacement cabinets according to the expected replacement information, the replaceable battery data and the replacement orders of the respective battery replacement cabinets comprises:
acquiring exchangeable battery data of each battery changing cabinet, and generating first weight parameters of each battery changing cabinet according to the exchangeable battery data;
acquiring a power change order of each power change cabinet, and generating a second weight parameter of each power change cabinet according to the power change order;
calculating the difference value of the first weight parameter and the second weight parameter to obtain the basic power conversion weight of each power conversion cabinet;
and acquiring expected power conversion information of each power conversion cabinet, generating additional power conversion weights according to the expected power conversion information, and binding the basic power conversion weights with the additional power conversion weights to generate power conversion priority weights of each power conversion cabinet.
6. A battery analysis-based battery change path management system, comprising: battery state acquisition device and intelligent terminal;
the battery state acquisition device is arranged in the battery car and is used for checking the real-time electric quantity information of the battery car;
the intelligent terminal is arranged on the battery car and is connected with the battery state acquisition device through wireless data, and the intelligent terminal is used for storing and executing the battery analysis-based battery replacement path management method according to any one of claims 1-5.
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