Method and system for providing assistance in the movement of motor vehicles in a logistics environment
A computer system automates vehicle movement from a battery charging area to a parking area, optimizing routes and positions, addressing inefficiencies in manual selection, thereby enhancing productivity by reducing retrieval times and improving process fluidity.
Patent Information
- Application Number
- FR2023014841
- Authority / Receiving Office
- FR · FR
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2023-12-21
- Publication Date
- 2025-11-14
- Estimated Expiration
- 2043-12-21
AI Technical Summary
The current process of moving newly manufactured vehicles from a battery charging area to a parking area in a logistics environment is inefficient, leading to time wastage and potential disruption of production due to manual vehicle selection based on charger indicators, resulting in suboptimal resource utilization and assembly line saturation.
A computer system is used to automate the selection and movement of vehicles by determining optimal routes and positions using data from mobile devices, integrating vehicle information, and optimizing logistics based on driver availability, travel time, and vehicle states, thereby facilitating supervisor and driver operations.
The system significantly reduces retrieval time and enhances the fluidity of vehicle movement, improving productivity in automotive assembly plants by optimizing the movement process and reducing supervisor wait times.
Smart Images

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Abstract
Description
Title of the invention: Method and system for providing assistance in the movement of motor vehicles in a logistics environment Technical field of the invention
[0001] The present invention relates to the field of logistics. In particular, the invention relates to a method for providing, by means of a computer system, assistance in moving a set of motor vehicles between a first location and a second location within a logistics environment. The invention also relates to a computer system implementing such a method. The invention is applicable to logistics environments in which the movement of manufactured motor vehicles must be optimized. Prior art
[0002] In a motor vehicle manufacturing plant, a manufactured vehicle arrives at the end of the assembly line every minute. Each newly manufactured motor vehicle is moved from the assembly line to a battery charging area, where the battery of the newly manufactured vehicle is fully charged for a variable period ranging from 1 to 30 minutes. Each battery charger is connected to a control system that distinguishes three different states: the vehicle is primarily charging, i.e., the battery level is below a predefined level, indicated by a red light; the battery is already charged, i.e., the battery level is above a predefined level, indicated by a green light; and a charging cable is disconnected, indicated by a flashing green light.
[0003] Once the battery of each newly manufactured motor vehicle is fully charged, the vehicle must be moved to a parking area so that it can then be picked up by a carrier and transported to its final destination. Before going to the battery charging area, the vehicle has already been assigned a space in the parking area by a transportation management system. The system that assigns the parking space to the newly manufactured vehicle and the system that monitors the battery status of each vehicle in the battery charging area are generally two independent systems.
[0004] To move the vehicles from the battery charging area to the parking area, a team is formed consisting of drivers (3 to 7 people responsible for driving the newly manufactured vehicles) and a supervisor who monitors the drivers to the parking area, pick up all the drivers and take them back to the battery charging area to start the process again.
[0005] Each time the supervisor returns to the battery charging area with all the drivers on board, the drivers must choose a specific vehicle from that location. Their only criterion so far has been to monitor the status of the charger indicator lights (showing available vehicles) and, based on the supervisor's experience, decide which vehicles to choose. This means that the selected vehicles may well have to be moved to relatively distant locations within the parking area, resulting in more time spent moving vehicles, poor resource optimization, and potentially, assembly line saturation if no other team (drivers and supervisor) is available.Furthermore, in the current setup, the supervisor must wait for all drivers to retrieve their vehicles, then follow them to find out where they park the vehicles they have just collected. Again, this wastes time, impacting the flow of the process and creating a risk of disrupting production capacity.
[0006] No solution is currently available to optimize this process in order to save time and facilitate the work of supervisors and drivers. Summary of the invention
[0007] The invention aims to satisfy these needs. In particular, the objective of the invention is to provide a solution to facilitate the management of the cumbersome process described above of moving newly manufactured vehicles in a logistics environment that includes a battery charging area and a parking area located far apart. To this end, the invention seeks to provide a method and a system that facilitate the work of the personnel in charge, drivers and supervisors, by fully automating it, particularly for the selection of vehicles to be moved and for the practical and clear provision of information that allows personnel to achieve significant time savings.Through this means, the invention aims to improve the fluidity of the vehicle movement process in such a specific logistics environment as mentioned above, and thus contribute to securing the productivity of an automotive vehicle assembly plant.
[0008] To achieve these goals, the invention relates, according to a first aspect, to a method of providing, by a computer system, assistance in the movement of a set of motor vehicles forming part of a fleet of one or more motor vehicles manufactured between a first location and a second location in a logistics environment, said first location being a battery charging area in which a plurality of chargers are installed and said the second location being a parking area, said system comprising a computer device connected to a first mobile communication device and to a second mobile communication device by means of a wireless communication network, the method comprising the steps of: i. to receive, by said device, from said first mobile communication device, data characterizing a request, said request stipulating a number of drivers available to participate in said trip; ii. determine, using a management module for said device, data characterizing a first set of information, said first set of information stipulating, for each of said one or more motor vehicles manufactured, an identification number, a first position in said first location, a state of charge and a second position in said second location; iii. determine, using a coordinate conversion module of said device, data characterizing a second set of information on the basis of said data characterizing a first set of information and a digital representation of said logistics environment, said second set of information stipulating said digital representation of said logistics environment related to said first position and said second position of each of said one or more manufactured motor vehicles, and a distance between said first position and said second position for each of said one or more manufactured motor vehicles; iv. determine, using a logistics optimization module for said device, data characterizing said set of motor vehicles based on said data characterizing a second set of information, considering the travel time of said set of motor vehicles and the recovery time of drivers from the corresponding second positions, a number of vehicles in said set of motor vehicles corresponding to said number of drivers available to participate in said travel; and v. cause, by said device, at least the display on said first mobile communication device, for each vehicle of said set of motor vehicles, of a corresponding identification number, a corresponding second position and a path to follow from a corresponding first position to said corresponding second position.
[0009] According to one variant, step v) may include a step of triggering the display on said second mobile communication device, for each vehicle said set of motor vehicles, of said corresponding identification number, of said corresponding second position and of said path to follow.
[0010] According to another variant, step v) may include a step of causing the display on said first mobile communication device and said second mobile communication device of a digital representation of said first location indicating said first position of each vehicle of said motor vehicle combination and of a digital representation of said second location indicating said second position of each vehicle of said motor vehicle combination.
[0011] According to yet another variant, step iii) may comprise the steps of: • normalize said data characterizing an initial set of information • convert said first position and said second position of each of said one or more motor vehicles manufactured in a local coordinate system based on said digital representation of said logistics environment so as to map said first position and said second position of each of said one or more motor vehicles manufactured on said digital representation of said logistics environment; and • determine said distance between said first position and said second position of each of said one or more motor vehicles manufactured on the basis of the local coordinate system.
[0012] According to yet another variant, step ii) may comprise the steps of: • to integrate, using a fusion module of said management module, data characterizing a plurality of information sets corresponding to said one or more manufactured motor vehicles, so as to determine data characterizing a fused information set, said data characterizing a plurality of information sets being received from an end-of-charge detection module of said device, a position assignment module of said device, and a displacement state detection module of said device; and • establish, using said fusion module, data characterizing, for each of said one or more manufactured motor vehicles, at least one relationship between vehicle information and position information, on the basis of said data characterizing a set of merged information, so as to determine said data characterizing a first set of information.
[0013] According to yet another variant, step ii) may include a filtering step, carried out using a filtering module of said management module, said data ca by classifying a plurality of information sets, before integrating them, thereby eliminating unnecessary data.
[0014] According to yet another variant, step ii) may comprise the steps of: • obtain, using a tracking module of said device, data characterizing, for each vehicle of said group of motor vehicles, at least one current location; and • determine, using said movement state detection module, for each vehicle of said set of motor vehicles, data characterizing the completion of a movement from said first position in said first location to said second position in said second location
[0015] According to yet another variant, step v) may include a step consisting of triggering, by said logistics optimization module, the transmission of said data characterizing said set of motor vehicles to said movement state detection module.
[0016] According to yet another variant, step ii) may include a step consisting of assigning, using said position assignment module (206), a second position in said second location for each newly manufactured motor vehicle.
[0017] According to yet another variant, step ii) may comprise the steps of: • determine, using said end-of-charge detection module, data characterizing said state of charge for each of said one or more motor vehicles manufactured on the basis of data characterizing a charging condition, said charging condition stipulating at least a current battery state and a connection state with a charger, said data characterizing a charging condition being received from a charging state monitoring module of said device; and • generate, using said end-of-charge detection module, data characterizing an operations report in said battery charging zone on the basis of said data characterizing said state of charge for each of said one or more motor vehicles manufactured.
[0018] According to yet another variant, the said path to be followed from the said first position to the said second position, for each vehicle of the said set of motor vehicles, may be the shortest path to reach the corresponding second position.
[0019] According to yet another variant, step iv) can be carried out using data characterizing said second position for each of said one or more manufactured motor vehicles, and data characterizing a maximum distance to be travelled by said drivers to reach said corresponding second positions, of data characterizing a time elapsed since each manufactured motor vehicle is loaded, of said travel time and of said recovery time.
[0020] According to yet another variant, step iv) can be carried out on the basis of at least one input.
[0021] According to a second aspect, the invention relates to a computer system for providing assistance in the movement of a set of motor vehicles forming part of a fleet of one or more motor vehicles manufactured between a first location and a second location in a logistics environment, said first location being a battery charging area in which a plurality of chargers are installed and said second location being a parking area, said system comprising a computer device connected to a first mobile communication device and to a second mobile communication device by means of a wireless communication network, an information processing unit, comprising at least one processor, and a data storage medium, which are configured to implement a method as described above. Brief description of the drawings
[0022] Other features and advantages of the invention will become apparent from an examination of the detailed description below and the accompanying drawings, in which:
[0023] [Fig-1] is a functional diagram of a system according to the invention;
[0024] [Fig.2] is a functional diagram of a device of a system according to the invention;
[0025] [Fig.3] is a functional diagram of a module of a device of a system of the invention;
[0026] [Fig.4] is a diagram illustrating the steps of a process according to the invention; and
[0027] [Fig.5] is a schematic illustration of a user interface of a device mobile communication of a system according to the invention. Detailed description of the invention
[0028] Figure 1 schematically illustrates a system 100 according to the invention for providing assistance in moving a set of motor vehicles belonging to a fleet of one or more manufactured motor vehicles between a first location and a second location in the logistics environment of a motor vehicle manufacturing plant. The first location is a battery charging area in which a plurality of chargers are installed, and the second location is a parking area where the vehicles are stored before transport. It is fundamentally a computer system, which includes a computer device 102, for example a server, which has an information processing unit 110, with one or more processors, and a storage medium. Data storage 112, on which is stored, in particular, a program comprising program code instructions for the execution by the information processing unit 110 of the steps of the process according to the invention described below. Conventionally, the device 102 according to the invention further comprises hardware and software means for connecting to a wireless communication network 104 in order to communicate using conventional communication protocols with a first mobile communication device 106 and a second mobile communication device 108. In the context of the invention, the first mobile communication device 106 is held by a supervisor, while the second mobile communication device 108 is held by a driver.
[0029] Figure 2 schematically illustrates in more detail the components of the device 102 of the system 100 according to the invention. This system includes, in particular, a charge status monitoring module 202, an end-of-charge detection module 204, a position assignment module 206, a tracking module 208, a movement status detection module 210, a management module 212, a digital representation generation module 214, a coordinate conversion module 216, and a logistics optimization module 218. Alternatively, the position assignment module 206 can be part of an external system connected to a transport management system and be linked to the system 100 according to the invention, in particular to its device 102, by means of a local communication network. In addition, as seen in [Fig.3], the management module 212 includes a filtering module 302 and a merging module 304.
[0030] According to the invention, all the elements described above contribute to enabling the implementation of a method for providing assistance in the movement of a set of motor vehicles forming part of a fleet of one or more manufactured motor vehicles between a first location and a second location in a logistics environment, the first location being a battery charging area in which a plurality of chargers are installed and the second location being a parking area. This method is described below with reference to Figures 2-5.
[0031] Figure 4 illustrates a flowchart of the method according to the invention. According to a first step 401 of the method, the device 102 receives data characterizing a request from the first mobile communication device 106. This data advantageously includes the number of drivers available to participate in the said movement of a set of vehicles from the first location to the second location. To submit the request, the first mobile communication device 106 conventionally includes a user interface, as described below. Furthermore, as already mentioned above, the first mobile communication device 106 is held by a supervisor. This received request therefore corresponds to the starting situation in which the supervisor requests to initiate the movement of a set of vehicles present in the battery charging area based on driver availability.
[0032] According to a second step 402, the management module 212 determines the data characterizing a first set of information. The first set of information specifies an identification number, a first position in the first slot, a state of charge, and a second position in the second slot. This information is determined for each of the manufactured motor vehicles, in other words, all vehicles that are within the battery charging zone.
[0033] The vehicle identification number (VIN) and the second position in the second parking space for each vehicle are predetermined. In other words, an identification number and a parking space are already assigned to each newly manufactured motor vehicle. Specifically, the position allocation module 206 assigns the second position, i.e., its position in the parking area, to each newly manufactured vehicle.
[0034] To determine the state of charge, the device 102 uses the state of charge monitoring module 202 and the end-of-charge detection module 204. The state of charge monitoring module 202 is configured to determine data characterizing a charging condition for each vehicle during its charging in the battery charging zone. The data characterizing a charging condition includes at least the current state of each vehicle's battery and the state of the battery's (or the vehicle's) connection to a charger. For example, the current state of the battery can be a charging state or a charged state. The battery's connection state can be a connected state or a disconnected state. In the charging state, the battery is being charged and the charger is connected. In the charged state, the battery is fully charged and the load is disconnected (i.e., the battery is disconnected from the charger).A load condition associated with each vehicle is detected by the load status monitoring module 202 and transmitted to the end-of-charge detection module 204. The end-of-charge detection module 204 determines data characterizing the load status for each manufactured vehicle, based on the data characterizing a load condition. The end-of-charge detection module 204 transmits the data characterizing the load status to the management module 212.
[0035] According to one embodiment, the end-of-charge detection module 204 generates a report of operations in the battery charging area based on data characterizing the state of charge. The report may indicate the status of each vehicle being charged in the battery charging area. The report may include the identification number of a motor vehicle being charged, the status of The report records the vehicle's charge and initial position in the first location. Once a vehicle is disconnected from its loader and moved to the second location, the data associated with that vehicle is deleted from the report, and new data associated with a newly manufactured vehicle is added. In one embodiment, the report can be generated as a text file and saved to a database at predefined intervals. The text file can be retrieved from the database for processing by the management module 212.
[0036] As for the tracking module 208, it is configured to obtain the current location of each vehicle in the fleet of motor vehicles, those that are in motion. To do this, it establishes real-time communication with each of the vehicle's onboard location systems. The movement status detection module 210 determines whether a vehicle that has left the first position from the first location, i.e., the battery charging area, has reached the second position in the second location, i.e., the parking area.
[0037] To determine the data characterizing the first set of information, the management module 212 uses its filtering module 302 and its merging module 304. The filtering module 302 filters data characterizing a plurality of information sets corresponding to each of the manufactured vehicles by removing unnecessary data. Unnecessary data can be outliers, redundant data, or data corresponding to vehicles already transferred to the parking area. The merging module 304 integrates the data characterizing the useful information from the plurality of information sets and generates data characterizing a merged set of information. The data characterizing a plurality of information sets corresponds to each manufactured vehicle.These data are received from the end-of-charge detection module 204, the position assignment module 206, and the movement status detection module 210. The fusion module 304 further establishes a relationship between vehicle information and position information based on the data characterizing a set of fused information. This is how the data characterizing a first set of information is determined during this second step 402 of the process according to the invention. The vehicle information can be the identification number and the charge status. The position information can be the first position in the first location and the second position in the second location, or a current location.It should be remembered that it is the position allocation module 206 that assigns each newly manufactured motor vehicle its second position in the second location, in other words its parking space before transport.
[0038] According to a third step 403 of the method according to the invention, the coordinate conversion module 216 determines data characterizing a second set of information based on the data characterizing a first set of information, those determined during the previous step, and a digital representation of said logistics environment, in other words, a digital map. The coordinate conversion module 216 is configured to receive the digital representation of the logistics environment from the digital representation generation module 214. The digital representation of the logistics environment includes the first location and the second location, in other words, the battery charging area and the parking area. The digital representation of the logistics environment provides detailed information on all singular points of the logistics environment.The digital representation of the logistics environment can be created, using the digital representation generation module 214, with topographic information containing details such as lane width, edge, number of lanes, and direction. This digital representation is developed using a local coordinate system in which the origin position (0,0) is located within the logistics environment.
[0039] To determine the data characterizing a second set of information, the data characterizing a first set of information are normalized by the coordinate conversion module 216. The coordinate conversion module 216 further extracts the first position and the second position of each of the manufactured vehicles from the data characterizing a first set of information and generates local coordinates corresponding to the digital representation of the logistics environment for the first position and the second position of each of the manufactured vehicles.
[0040] The coordinate conversion module 216 is further configured to determine a distance between the first and second positions based on the local coordinates for each manufactured motor vehicle. Thus, the second set of information determined during this third step 403 of the process comprises the digital representation of the logistics environment related to the first and second positions of each of the manufactured vehicles, as well as the distance between the first and second positions for each of the manufactured vehicles.
[0041] According to a fourth step 404 of the process according to the invention, the logistics optimization module 218 uses data characterizing a second set of information to determine data characterizing a set of motor vehicles; in other words, it determines which vehicles should be moved from the first location to the second location. To do this, the module Logistics optimization module 218 considers the travel time for each vehicle in the first location to move them from their first position to their second position in the second location. This travel time corresponds to the total travel time between the first and second locations. The logistics optimization module 218 also considers the time required for the supervisor to collect all the drivers and return them to the first location. It's important to note that the number of vehicles selected for moving the vehicles from the first to the second location corresponds to the number of available drivers specified by the supervisor in the request received during the first step, 401, of the process.
[0042] In addition, the logistics optimization module 218 transmits the data characterizing the set of motor vehicles to the movement status detection module 210. The movement status detection module 210 determines, in real time, the movement status of each of the vehicles and informs the data management module 212 once all the vehicles in the selected set of vehicles have been moved to the second location.
[0043] Preferably, the logistics optimization module 218 determines a set of motor vehicles to be moved from the first location to the second location based on data characterizing the second position for each manufactured motor vehicle, data characterizing the maximum distance to be traveled by drivers to reach the corresponding second locations, data characterizing the time elapsed since each manufactured motor vehicle was loaded, the travel time, and the recovery time. To do this, the logistics optimization module 218 proceeds, for example, by implementing the mathematical implementation detailed below.
[0044] The problem of identifying a set of k vehicles from m vehicles can be defined as follows:
[0045] if p _ !n „ „ ] is a set of parking spaces, where Pq is ' {Po, P 1' ■ ■ ■ ' Pn} a position of the battery charging zone,
[0046] if p' _ p \ | is a set of n parking spaces, y} is a set of arcs,
[0048] if C is a matrix of non-negative distances between parking spaces c'i between parking spaces P, and Pj,
[0049] if T is a vector of non-negative values ti, where is the time that has elapsed
[0047] if p^ | p? p^ ep. t since each vehicle is charged and available to go to the parking space
[0050] if Rj is a route for vehicle i,
[0051] if m is a number of motor vehicles manufactured (all identical), with a route assigned to each motor vehicle manufactured,
[0052] then a solution according to the logistics optimization module 218 can be composed
[0053] of a partition R,, ■ R^ of P
[0054] and a permutation aid Ri U 0 specifying an order of parking spaces on road i.
[0055] The cost of a given route / »; _ J nn , ].OÙP0 = = O(le k+1 J 0 indicates the battery charging area), is given by:
[0056]
[0057] , where Y and are weighting functions that allow for the allocation of The importance of the time elapsed since the vehicle was loaded and the distance between the first and second positions is taken into account. Weighting functions can be adjusted according to the logistics environment. The Logistics Optimization Module 218 can also be adapted based on operator input. In other words, a priority for moving vehicles to the parking area can be specified, and this parameter, with a given weight, allows the optimization process to adapt the selection of vehicles to be moved in real time to specific needs. Furthermore, the Logistics Optimization Module 218 determines, based on the vehicles moved to the parking area first, the order in which the drivers of those vehicles are subsequently picked up.
[0058] Finally, according to a fifth step 405, the device 102 causes the display, on the first mobile communication device 106, and thus for the supervisor, of the data characterizing the set of vehicles selected for movement from the first position to the second position, along with the corresponding information. The data characterizing the set of vehicles includes information on each vehicle, such as an identification number, a corresponding second position, and a route to be followed by each driver from the first position to the second position. Thus, the supervisor can go directly to the parking area as soon as the drivers have retrieved their vehicles from the battery charging area, thereby significantly reducing retrieval time.
[0059] Next, device 102 causes the display of data characterizing all the motor vehicles on the second mobile communication device 108, in other words, for the benefit of the drivers. Thus, the drivers can see and know which vehicles they should take into the battery charging area.
[0060] When all drivers have been taken care of and have returned to the first location, the supervisor can end the process by submitting a new request.
[0061] Figure 5 illustrates an example of the user interface 500 displayed on the first mobile communication device 106. This is divided into several areas, for example, a first display area 502, a second display area 504, a first input element 508 and a second input element 510. The first display area 502 provides the digital representation of the first location 502A indicating the first position of each vehicle in the set of vehicles waiting to move and a digital representation of the second location 502B indicating the second position of each vehicle in the set of selected vehicles.
[0062] When a request is submitted by interacting with the first input element 508, the supervisor can indicate the number of available drivers, and the process according to the invention is initiated. The logistics optimization module 218 then identifies a set of motor vehicles from among the manufactured vehicles that are available at the first location 502A, i.e., the battery charging area. The second position of the selected vehicles in the second location 502B is also indicated. The first display area 502 can also indicate the shortest path between the first and second positions for each of the identified vehicles. The shortest path can be determined using a conventional planning algorithm (i.e., A*, fast random trees, or any other solution).The second display area 504 can show a first and second position, as well as the identification number of each vehicle. In the example shown, three vehicles are selected to be moved from the first to the second location. The first and second positions of the three identified vehicles are displayed in the second display area 504.
Claims
Demands
1. A method for providing, by means of a computer system (100), assistance in moving a set of motor vehicles forming part of a fleet of one or more manufactured motor vehicles between a first location and a second location in a logistics environment, said first location being a battery charging area in which a plurality of chargers are installed and said second location being a parking area, said system (100) comprising a computer device (102) connected to a first mobile communication device (106) and to a second mobile communication device (108) by means of a wireless communication network (104), characterized in that said method comprises the steps of: i. receive, by said device (102), of said first mobile communication device (106), data characterizing a request, said request stipulating a number of drivers available to participate in said trip; ii. determine, using a management module (212) of said device (102), data characterizing a first set of information, said first set of information stipulating, for each of said one or more motor vehicles manufactured, an identification number, a first position in said first location, a state of charge and a second position in said second location; iii. determine, using a coordinate conversion module (216) of said device (102), data characterizing a second set of information on the basis of said data characterizing a first set of information and a digital representation of said logistics environment, said second set of information stipulating said digital representation of said logistics environment related to said first position and said second position of each of said one or more manufactured motor vehicles, and a distance between said first position and said second position for each of said one or more manufactured motor vehicles; iv. determine, using a logistics optimization module (218) of said device (102), data characterizing said set of motor vehicles on the basis of said data characterizing a second set of information considering the travel time of said set of motor vehicles and the recovery time of drivers from the corresponding second positions, a number of vehicles in said set of motor vehicles corresponding to said number of drivers available to participate in said travel; and v. cause, by said device (102), at least the display on said first mobile communication device (106), for each vehicle of said set of motor vehicles, of a corresponding identification number, a corresponding second position and a path to follow from a corresponding first position to said corresponding second position.
2. Method according to claim 1, characterized in that step v) comprises a step of causing the display on said second mobile communication device (108), for each vehicle of said set of motor vehicles, of said corresponding identification number, of said corresponding second position and of said path to follow.
3. A method according to any one of the preceding claims, characterized in that step v) comprises a step of causing the display on said first mobile communication device (106) and said second mobile communication device (108) of a digital representation of said first location indicating said first position of each vehicle of said motor vehicle combination and of a digital representation of said second location indicating said second position of each vehicle of said motor vehicle combination.
4. A method according to any one of the preceding claims, characterized in that step iii) comprises the steps of: • normalizing said data characterizing a first set of information; • convert said first position and said second position of each of said one or more motor vehicles manufactured in a local coordinate system based on said digital representation of said logistics environment so as to map said first position and said second position of each of said one or more motor vehicles manufactured on said digital representation of said logistics environment; and • determine said distance between said first position and said second position of each of said one or more motor vehicles manufactured on the basis of the local coordinate system.
5. A method according to any one of the preceding claims, characterized in that step ii) comprises the steps of: • integrate, using a fusion module (304) of said management module (212), data characterizing a plurality of information sets corresponding to said one or more manufactured motor vehicles, so as to determine data characterizing a fused information set, said data characterizing a plurality of information sets being received from an end-of-charge detection module (204) of said device (102), a position assignment module (206) of said device (102), and a movement state detection module (210) of said device (102); and • establish, using said fusion module (304), data characterizing, for each of said one or more manufactured motor vehicles, at least one relationship between vehicle information and position information, on the basis of said data characterizing a set of fused information, so as to determine said data characterizing a first set of information.
6. The method according to claim 5, characterized in that step ii) includes a filtering step, carried out using a filtering module (302) of said management module (212), said data characterizing a plurality of information sets, before integrating them, thereby eliminating unnecessary data.
7. A method according to any one of claims 5-6, characterized in that step ii) comprises the steps of: • obtaining, using a tracking module (208) of said device (102), data characterizing, for each vehicle of said motor vehicle set, at least one current location; and • determining, using said movement state detection module (210), for each vehicle of said motor vehicle set, data characterizing the completion of a movement from said first position in said first location to said second position in said second location.
8. A method according to any one of claims 5-7, characterized in that step v) comprises a step of causing, by said logistics optimization module (218), the transmission of said data characterizing said set of motor vehicles to said movement state detection module (210).
9. A method according to any one of claims 5-8, characterized in that step ii) comprises a step of assigning, using said position assignment module (206), a second position in said second location for each newly manufactured motor vehicle.
10. A method according to any one of claims 5-9, characterized in that step ii) comprises the steps of: • determining, using said end-of-charge detection module (204), data characterizing said state of charge for each of said one or more motor vehicles manufactured on the basis of data characterizing a charging condition, said charging condition stipulating at least a current state of the battery and a state of connection with a charger, said data characterizing a charging condition being received from a state-of-charge monitoring module (202) said device (102); and • generate, using said end-of-charge detection module (204), data characterizing a report of operations in said battery charging zone on the basis of said data characterizing said state of charge for each of said one or more motor vehicles manufactured.
11. A method according to any one of the preceding claims, characterized in that said path to be followed from said first position to said second position, for each vehicle of said set of motor vehicles, is the shortest path to reach said corresponding second position.
12. A method according to any one of the preceding claims, characterized in that step iv) is carried out using data characterizing said second position for each of said one or more manufactured motor vehicles, data characterizing a maximum distance to be travelled by said drivers to reach said corresponding second positions, data characterizing a time elapsed since each manufactured motor vehicle is loaded, said travel time and said recovery time.
13. A method according to any one of the preceding claims, characterized in that step iv) is carried out on the basis of at least one seizure.
14. A computer system (100) for providing assistance in moving a set of motor vehicles forming part of a fleet of one or more motor vehicles manufactured between a first location and a second location in a logistics environment, said first location being a battery charging area in which a plurality of chargers are installed and said second location being a parking area, said system (100) comprising a computer device (102) connected to a first mobile communication device (106) and a second mobile communication device (108) by means of a wireless communication network (104), characterized in that said device (102) comprises an information processing unit (110), comprising at least one processor, and a data storage medium (112), which are configured to implement a method according to one of the claims. previous instructions.