BE1029338B1 - DYNAMIC PROGRAMMING OF ELECTRIC VEHICLE CHARGING - Google Patents

Abstract

Electric vehicle charging programming includes receiving repeated sensor readings from a battery of an electric vehicle, the readings monitoring a charge of the battery while the electric vehicle travels along a simultaneously programmed route. Next, a geolocation of the electric vehicle is determined and a database queried with the geolocation. A charging station is then identified in the geographical proximity of the geolocation of the electric vehicle. Also, a programmed route for the electric vehicle after the simultaneously programmed route is determined. Next, a threshold load is calculated, required to complete both the concurrently scheduled route and also at least part of the scheduled route after the concurrently scheduled route. Finally, in response to a determination that the monitored charge on the battery is below the threshold level, an alert is displayed indicating to recharge the battery at the identified charging station.

Description

| | BE2021/5423

DYNAMIC PROGRAMMING OF ELECTRIC VEHICLE CHARGING BACKGROUND OF THE INVENTION

[0001] Field of the invention

The present invention relates to the technical field of electric vehicle charging and more particularly, the calculation of the autonomy of a vehicle from a measured charging of an electric vehicle.

[0003] Description of the prior art concerned

[0004] An electric vehicle generally refers to a motor vehicle that uses one or more electric motors to propel a vehicle along a route. In most cases, an electric vehicle can be powered by a stand-alone battery or a network of batteries. For this, batteries are essential for the operation of an electric vehicle. Electric vehicle batteries are typically charged by coupling the battery pack of an electric vehicle to an electrical power source. After a while, the batteries in the rear battery will be fully charged and ready to discharge to power a motor capable of propelling the vehicle along a route.

[0005] Just as in the case of a fossil fuel vehicle, an electric vehicle can be characterized according to its range. Range, in the context of an electric vehicle, refers to the distance the electric vehicle is able to travel, powered by an on-board battery or battery array, from a fully charged state of the battery(ies) to a discharged state of the battery(ies). Of course, it is rare for an operator to consider completely discharging a battery while driving in an electric vehicle. Therefore, for a certain range, it may be the distance that an electric vehicle can travel with a fully charged battery or battery pack before a threshold degree of remaining charge indicates the need to charge. .

[0006] The management of the charge of a battery or of an on-board battery pack remains essential for an operator of an electric vehicle. Since there are far fewer electric charging stations along a conventional road than there are traditional gas stations, when encountering an electric charging station, the operator of an electric vehicle must always assess whether recharging of the on-board battery is necessary. For the occasional driver, this doesn't matter much more than with a fossil-fuel vehicle. But, for a utility vehicle that is pre-programmed on a series of successive routes during a last-mile logistics operation, decision-making can be more complex, especially when an operator of the electric utility vehicle is unaware of the extent of a subsequently scheduled route and the availability of electric charging stations along the subsequently scheduled route. BRIEF SUMMARY OF THE INVENTION

[0007] Embodiments of the present invention address technical deficiencies in the art with respect to electric vehicle charging. To this end, embodiments of the present invention provide a novel and non-obvious method for scheduling electric vehicle charging in light of a future route of the electric vehicle and the capacity of a measured charge of the electric vehicle to allow the electric vehicle to perform a simultaneous route as well as at least a part of a subsequently programmed route. Embodiments of the present invention also provide a novel and unobvious computing device suitable for performing the above method. Finally, embodiments of the present invention provide a novel and non-obvious data processing system incorporating the above device to perform the above method.

In one embodiment of the invention, a method of programming electric vehicle charging includes receiving, over a communications channel in the memory of a computing device, repeated sensor readings from a battery of an electric vehicle, the sensor readings monitoring a charge of the battery while the electric vehicle is moving along a simultaneously programmed route. The method also includes invoking location circuits in the computing device while monitoring and receiving, from the circuits in response to the invocation, a geolocation of the electric vehicle. The method further comprises querying a database with the geolocation of the electric vehicle and receiving, in response to the query in the memory of the computing device, a charging station identified in the geographical proximity of the geolocation of the electric vehicle.

[0009] In addition, the method includes retrieving, from a database of programmed routes for the electric vehicle, a programmed route for the electric vehicle after the simultaneously programmed route. The method also further includes calculating a threshold load required to complete both the concurrently scheduled route and also at least a portion of the scheduled route after the concurrently scheduled route. Finally, the method includes responding to a determination that the monitored charge on the battery is below the threshold level by displaying an alert in a display of the computing device to charge the battery at the identified charging station.

[0010] In one aspect of the embodiment, the threshold charge is a level of charge on the battery sufficient to provide sufficient range for the electric vehicle to move from the identified charging station until the completion of the route. programmed after the concurrently programmed route. In another aspect of the embodiment, the threshold charge is determined by calculating a range for the electric vehicle when the battery is fully charged, determining a position on the scheduled route after the simultaneously scheduled route, the position corresponding to the calculated range measured from the identified charging station, the location of an additional charging station along the scheduled route after the simultaneously scheduled route closest to the determined position and between the determined position and the identified charging station, calculating a sufficient battery charge level to reach the additional charging station, and equalizing the threshold charge according to the charge level.

In another aspect of the embodiment, the method further includes responding to receipt via display of an affirmation of an intention to recharge the battery at the identified charging station, marking a particular outlet of the charging station identified as being reserved for the electric vehicle and prohibiting any other electric vehicle from using the particular socket within a calculated period. Optionally, the method also includes calculating an estimated time of arrival (ETA) of the electric vehicle at the identified charging station, taking into account both environmental conditions as well as traffic conditions and road limitations such as es speed limits, receiving a request for use of the particular outlet by a different vehicle, and further calculating an estimated time to charge a battery of the different vehicle at the particular outlet. Provided the estimated time to charge the battery is less than the electric vehicle's PETA, the ban can be circumvented.

In another embodiment of the invention, a data processing system is suitable for programming the charging of electric vehicles. The system includes a host computing platform that includes one or more computers, each with memory and one or more processing units including one or more processing cores. The system also includes a recharging programming module. The module includes computer program instructions activated upon execution in memory of at least one of the processing units of the host computing platform to receive, over a communications channel in memory, repeated sensor readings of a battery of an electric vehicle, the sensor readings monitoring a charge of the battery as the electric vehicle travels along a simultaneously programmed route. The program instructions are also enabled to invoke location circuits in the host computing platform during monitoring and to receive, from the circuits in response to the invocation, a geolocation of the electric vehicle.

[0013] The program instructions are further activated during execution in the memory to interrogate a database with the geolocation of the electric vehicle and to receive, in response to the request, a charging station identified in the geographical proximity of the geolocation of the electric vehicle. The program instructions are further activated to retrieve, from a data store in the memory of a computing device, from a database of programmed routes for the electric vehicle, a programmed route for the electric vehicle after the programmed route simultaneously. Finally, the program instructions are enabled to calculate a threshold charge required to complete the concurrently scheduled route and to complete at least a portion of the scheduled route after the concurrently scheduled route and to respond to a determination that the monitored recharge on the battery is below the threshold level, displaying an alert in a display of the host computing platform to recharge the battery at the identified charging station.

In yet another embodiment of the invention, a computing device is provided which includes a non-transitory computer-readable storage medium on which are stored program instructions, the instructions being executable by at least one processing a processing unit to cause the processing unit to perform an electric vehicle charging scheduling process. The method includes receiving, over a communication channel in the memory of the computing device, repeated sensor readings from a battery of an electric vehicle, the sensor readings monitoring a charge of the battery while the electric vehicle is moving along a simultaneously programmed route. The method also includes invoking location circuits in the computing device while monitoring and receiving, from the circuit in response to the invocation, a geolocation of the electric vehicle.

[0015] The method further comprises querying a database with the geolocation of the electric vehicle and receiving, in response to the query in the memory of the computing device, an identified charging station, having a or several reservable electric power distribution sockets at which an electric vehicle can be recharged, in geographical proximity to the geolocation of the electric vehicle, and the retrieval, from a data memory in the memory of the computing device, from a programmed route database for the electric vehicle, of a programmed route for the electric vehicle after the programmed route simultaneously. Finally, the method includes calculating a threshold charge required to complete the concurrently scheduled route and to complete at least a portion of the scheduled route after the concurrently scheduled route, and responding to a determination that the monitored recharge on the battery is below the threshold level, displaying an alert in a display of the computing device to recharge the battery at the identified charging station.

[0016] In this way, the technical deficiencies in the determination of whether or not to charge a battery of an electric vehicle are overcome thanks to the double measurement of a simultaneous charge of a battery and a resulting autonomy of the vehicle, and determining whether or not the resulting range is sufficient to power the vehicle to a specified location on a route subsequently planned for the vehicle without the need to recharge it. Additional aspects of the invention will be set forth in part in the description which follows, and in part they will be obvious from the description, or they may be learned by practice of the invention. The aspects of the invention will be realized and achieved by means of the elements and combinations particularly indicated in the appended claims. || It should be understood that the general description which precedes but also the detailed description which follows are only given by way of example and explanation, and that they are not restrictive of the invention as claimed.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

The accompanying drawings, which are incorporated into and form part of this description, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention. The embodiments illustrated herein are presently preferred, it being understood, however, that the invention is not limited to the specific arrangements and instruments illustrated, in which:

Figure 1 is a graphical illustration reflecting various aspects of an electric vehicle charging scheduling process;

Figure 2 is a block diagram illustrating a data processing system suitable for performing one of the aspects of the process of Figure 1; and

Figure 3 is a flowchart illustrating one aspect of the process of Figure 1. DETAILED DESCRIPTION OF THE INVENTION

[0021] Embodiments of the invention provide electric vehicle charging programming. In accordance with one embodiment of the invention, a location of an electric vehicle when the vehicle traverses a concurrent route may be determined in response to detecting a charging station near the vehicle along the concurrent route . A subsequently planned route is then determined and a waypoint along the planned route is selected, for example a destination of the planned route, a known stop along the planned route or a known charging station along the planned route. Then, a current level of charge of the vehicle battery can be determined in order to calculate a range of the vehicle and to determine if the range is sufficient to reach the waypoint without discharging the battery below a defined threshold.

Alternatively, the vehicle driver may be prompted in a vehicle display to fully charge the battery at the detected charging station and a charging position at the detected charging station may be reserved for use by the vehicle in a time lapse compatible with a distance between the determined location of the vehicle and a location of the detected charging station. In this way, the determination of whether or not to recharge at a nearest charging station along a route can be determined automatically and dynamically taking into account various parameters such as the percentage of battery recharge, the programmed distance of route of the vehicle, geolocation of charging stations in the electrical network, reservations and priority queuing of a charging station, and the charging time required to recharge the battery, to name a few examples.

[0023] In illustration of an aspect of the embodiment, Figure 1 pictorially shows an electric vehicle charging programming process. As shown in Figure 1, an electric vehicle 100 travels a current route 130A along which a charging station 140 is detected near the electric vehicle 100. In response to the detection of the charging station 140, a battery monitor 160 signals a charge level 170 of a battery 150 of the electric vehicle 100. A range is then calculated for the electric vehicle 100. Simultaneously, a vehicle route data memory 115 receives a request 135 from the electric vehicle 100 comprising an identifier of the electric vehicle 100. The vehicle route data memory 115 returns a following programmed route 130B for the identifier of the electric vehicle 100.

A request 145 including the next scheduled route 130B and a current location 110 of the electric vehicle 100 is then provided to a charging station data store 125 to retrieve a location of an electric charging station 155 along of the next programmed route 130B near the waypoint 190. Based on the calculated autonomy, it is determined whether the level of charge 170 of the battery 150 of the electric vehicle 100 is sufficient either to complete the current route 130A to the destination 120 of the current route 130A, and to reach the waypoint 190 without discharging the battery 150 below a specified level, or if the electric vehicle 100 is capable of reaching at least the location of electric charging station 155 along the following scheduled route 130B. Otherwise, an alert is presented in the electric vehicle 100 recommending navigation to the detected charging station 140.

[0025] In response to an acknowledgment of the alert, a message is then transmitted to the detected electric charging station 140, including a calculated estimated time of arrival (ETA) 180 based on the current location 110 whereby the electric charging station 140 consults an electric charging outlet availability database 155 to identify an available charging position at which the electric vehicle 100 can recharge the battery 150 at VETA 180 and the electric charging station 140 reserves the identified charging position at the detected charging station 140 for use by the electric vehicle 100 at a time corresponding to the ETA 180.

Optionally, insofar as VETA 180 allows temporary use of the reserved charging position, the reserved charging position can be released to recharge another electric vehicle for a period between the time of receipt of the message and the corresponding time at PETA 180 when the electric vehicle 100 is expected to arrive at the detected charging station 140.

[0026] Aspects of the process described in relation to FIG. 1 can be implemented within a data processing system. In another illustration, Figure 2 schematically shows a data processing system suitable for performing electric vehicle charging programming. In the data processing system illustrated in Figure 1, a host computing platform 200 is provided in an electric vehicle (not shown). Host computing platform 200 includes one or more embedded computing systems 210, each with memory 220 and one or more processing units 230. Host computing platform on-board computing systems 210 (single device shown for illustrative simplicity) may be co-located within and in communication with each other over a local area network, or over a data communications bus 270, or the integrated computer systems 210 may be disposed remotely from each other and in communicate with each other via the network interface 260 over a data communications network 240.

[0027] In particular, a computing device 250 comprising a non-transitory computer-readable storage medium may be included with the data processing system 200 and accessible by the processing units 230 of Vun or of several of the integrated computing systems 210. The computer device 250 stores or maintains thereon a program module 300 which includes computer program instructions which, when executed by one or more of the processing units 230, execute a program executable process for programming electric vehicle charging. Specifically, program instructions during execution receive battery charge level data from battery monitor 280 via bus 270. In response to a determination that the charge level falls below a threshold level, a location of the electric vehicle may be determined by direct position estimation from a global positioning system. Next, the program instructions query a navigation query interface 265 in a remote server 235 to identify a next nearby charging station along a current route being followed by the electric vehicle.

[0028] Once the next nearby charging station is identified, the program instructions interrogate a routing query interface 255 in the server 225 to retrieve a next scheduled route for the electric vehicle. The program instructions then select a waypoint along the next programmed route and compare a range for the electric vehicle determined from the charge level reported by the battery monitoring system 280, to a distance between the location current of the electric vehicle and the waypoint. As long as the range is deemed sufficient to complete the current route and reach the waypoint, no further action is required. However, since the range is determined to be insufficient to complete the current route and reach the waypoint, the program instructions present a prompt in the electric vehicle to reserve a charging position at the next charging station. near. The program instructions then access a reservation interface 245 in a server 215 associated with the next nearby charging station in order to reserve a charging position for the electric vehicle before the electric vehicle arrives at the next nearby charging station. proximity.

In another illustration of an exemplary operation of module 300 in Figure 2, Figure 3 is a flowchart illustrating one aspect of the process of Figure 1. From block 305, a location of an electric vehicle is determined, for example by interrogating the positioning circuits. At block 310, a next charging station along a current route taken by the electric vehicle is determined. Similarly, at block 315, a current charge level of a battery of the electric vehicle is determined. Next, at decision block 320, it is determined whether or not the current charge level is above a threshold level. If so, the process returns to block 305. Otherwise, the process continues to block 325.

[0030] At block 325, a next route schedule for the electric vehicle is retrieved, and at block 330, a waypoint on the next route is selected. Next, at block 335, a charging station near the waypoint is located by querying a navigation system. At block 340, a range is calculated for the electric vehicle based on the battery charge level, and at block 345, a total distance between the location of the electric vehicle and the charging station near the waypoint is determined. Next, at block 350, range is compared to distance. Since at decision block 355 the comparison produces a difference greater than a threshold, it is assumed that sufficient charge exists on the battery, and the process returns to block 305. Otherwise, the process continues at block 360.

[0031] In block 360, it is assumed that the charge level of the battery of the electric vehicle is not sufficient to reach the charging station near the waypoint. In this case, a prompt is provided in the EV directing the EV operator to charge the battery at the next charging station along the current route. Upon receiving an affirmation from the electric vehicle operator, at block 365, a next charging station availability data store is queried to identify an available charging position at which the electric vehicle can be recharged. and upon identifying the available charging position, at block 370 a message is transmitted to the next charging station reserving the available charging position at the next charging station. Finally, at block 375, the navigation system provides turn-by-turn directions to the next charging station.

Importantly, the above flowchart and block diagram referred to herein illustrates the architecture, functionality, and operation of possible implementations of computing systems, methods, and devices in various modes. embodiment of the present invention. In this respect, each block of the flowchart or each functional diagram can represent a module, a segment or a part of instructions, which comprises one or more executable instructions to implement the specified logical function or functions. In some variant implementations, the functions noted at the block may occur out of the order noted in the figures. For example, two blocks represented in succession may, in fact, be executed substantially simultaneously, or the blocks may sometimes be executed in reverse order, depending on the functionality involved. Note also that each block in the block diagrams and/or flowchart illustration, and each combination of blocks in the block diagrams and/or flowchart illustration, may be implemented by special purpose hardware systems who perform the specified functions or acts or perform combinations of special purpose equipment and computer instructions.

More specifically, the present invention may be embodied as a programmatically executable process. Likewise, the present invention may be incorporated into a computing device on which programming instructions are stored and from which the programming instructions are activated to be loaded into the memory of a data processing system and executed from this one in order to run the programmatically executable process above. Further, the present invention may be implemented in a data processing system adapted to load the programming instructions from a computing device and then execute the programming instructions to execute the programmatically executable process thereof. -above.

[0034] To this end, the computing device is a non-transitory computer-readable storage medium or a medium that retains or stores computer-readable program instructions therein. These instructions, when executed from memory by one or more processing units of a data processing system, cause the processing units to programmatically execute different processes, examples of different aspects of programmatically executable process . In this respect, the processing units each comprise an instruction execution device such as a central processing unit or "CPU" of a computer. One or more computers may be included in the data processing system. Although the CPU may be a single-core CPU, it is understood that multiple CPU cores may operate within the CPU, and in either case, instructions are directly loaded from memory into one or more cores of one or multiple CPUs for execution.

[0035] Aside from directly loading instructions from memory for execution by one or more cores of a CPU or CPUs, the computer-readable program instructions described herein may alternatively be retrieved from a network of computer communications in the memory of a data processing system computer to be executed therein. Similarly, only part of the program instructions can be retrieved into memory from the computer communications network, while other parts can be loaded from the computer's persistent storage. In addition, only part of the program instructions can be executed by one or more processing cores of one or more CPUs of one of the computers in the data processing system, while other parts can be executed in cooperation in a computer different from the data processing system which is either co-located with the computer, or positioned at a distance from the computer on the computer communications network with the results of the calculation by the two computers shared between them.

[0036] The structures, materials, acts and corresponding equivalents of all step plus function means or elements in the claims below are intended to include any structure, material or act to perform the function in combination with other elements claimed specifically claimed. The description of the present invention has been presented for purposes of illustration and description but is not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will occur to those skilled in the art without departing from the scope and spirit of the invention. The embodiment has been selected and described in order to best explain the principles of the invention and the practical application, and to enable others skilled in the art to understand the invention for various embodiments with various modifications. suitable for the particular intended use.

Having thus described in detail the invention of the present application and with reference to embodiments thereof, it will appear that modifications and variants are possible without departing from the scope of the invention defined in the claims. appended as follows:

Claims (15)

A method of programming electric vehicle charging comprising: receiving, over a communications channel, in the memory of the computing device, repeated sensor readings from a battery of an electric vehicle, the sensor readings monitoring a charge from the battery while the mobility device travels along a programmed route simultaneously; invoking location circuits in the computing device during monitoring, and receiving, from the location circuits in response to the invocation, a geolocation of the electric vehicle; querying a database with the geolocation of the electric vehicle, and receiving, in response to the query in the memory of the computing device, an identified charging station determined as being in the geographical proximity of the geolocation of the electric vehicle ; retrieving, from a data store in the memory of a computing device, from a database of programmed routes for the electric vehicle, a programmed route for the electric vehicle after the route programmed simultaneously; calculating, by a processing unit of a processor of the computing device, a threshold load required to complete the concurrently scheduled route and to complete at least a portion of the concurrently scheduled route after the concurrently scheduled route; and, in response to a determination that the monitored charge on the battery is below the threshold level, displaying an alert in a display of the computing device to charge the battery at the identified charging station. 2. Method according to claim 1, in which the threshold charge is a level of charge on the battery sufficient to provide sufficient range for the electric vehicle to move from the identified charging station until the completion of the programmed route after the simultaneously programmed route. 3. Method according to claim 1, in which the threshold charge is determined by: calculating a range for the electric vehicle when the battery is fully charged; determining a position on the programmed route after the programmed route — simultaneously, the position corresponding to the calculated range measured from the identified charging station; locating an additional charging station along the scheduled route after the simultaneously scheduled route closest to the determined position and between the determined position and the identified charging station; calculating a sufficient battery charge level to reach the additional charging station; and, legalization of the threshold load according to the level of load. The method of claim 1, further comprising, in response to receiving via display an affirmation of an intention to recharge the battery at the identified charging station, communicating with a computing device at the charging station. recharge identified on a computer communications network for ordering the marking of a particular socket at the charging station identified as being reserved for the electric vehicle and for ordering the prohibition of other electric vehicles from using the particular socket. 5. The method of claim 4, further comprising calculating an estimated time of arrival (ETA) of the electric vehicle at the identified charging station, receiving a request for use of the particular outlet by a vehicle different, further calculating an estimated time to charge a battery of the different vehicle at the particular outlet and, provided that the estimated time to charge the battery is less than the ETA of the electric vehicle, bypassing the prohibition. 6. A data processing system suitable for programming electric vehicle charging, the system comprising: a host computing platform comprising one or more computers, each with memory and one or more processing units comprising one or more processing cores; and, a reload programming module comprising computer program instructions activated during execution in the memory of at least one of the processing units of the host computer platform to carry out: the reception, on a communications channel in the memory, repeated sensor readings of a battery of an electric vehicle, the sensor readings monitoring a charge of the battery while the electric vehicle travels along a programmed route simultaneously; Invocation of location circuits in the host computer platform during the monitoring and reception, from the location circuits in response to Invocation, of a geolocation of the electric vehicle; querying a database with the geolocation of the electric vehicle and receiving, in response to querying the database, in the memory of the computing device, an identified charging station determined to be nearby geographical location of the electric vehicle; retrieving, from a data store in the memory of a host computing platform, from a database of programmed routes for the electric vehicle, a programmed route for the electric vehicle after the route programmed simultaneously; calculating a threshold load required to complete the concurrently scheduled route and to complete at least a portion of the concurrently scheduled route after the concurrently scheduled route; and, in response to a determination that the monitored charge on the battery is below the threshold level, displaying an alert in a display of the host computing platform to charge the battery at the identified charging station. 7. System according to claim 6, in which the threshold load is a level of charge on the battery sufficient to provide sufficient range for the electric vehicle to move from the identified charging station until the completion of the programmed route after the simultaneously programmed route. 8. System according to claim 6, in which the threshold load is determined by: calculating a range for the electric vehicle when the battery is fully charged; determining a position on the programmed route after the simultaneously programmed route, the position corresponding to the calculated range measured from the identified charging station; locating an additional charging station along the scheduled route after the simultaneously scheduled route closest to the determined position and between the determined position and the identified charging station; calculating a sufficient battery charge level to reach the additional charging station; and, legalization of the threshold load according to the level of load. 9. The system of claim 6, wherein the program instructions are activated while executing in the memory of at least one of the processing units of the host computing platform to further perform, in response to receiving via displaying an assertion of an intention to charge the battery at the identified charging station, communicating with a computing device at the identified charging station over a computer communications network to direct marking of a particular outlet at the charging station identified as being reserved for the electric vehicle and to order the prohibition of use of the particular socket by other electric vehicles. 10. System according to claim 9, in which the program instructions are activated during the execution, in the memory, of at least one of the processing units of the host computer platform to carry out further, the calculation of an estimated time of arrival (ETA) of the electric vehicle at the identified charging station, receiving a request for use of the particular socket by a different vehicle, further calculating an estimated time to charge a battery of the different vehicle at the particular socket and, provided that the estimated time to recharge the battery is less than the ETA of the electric vehicle, circumventing the prohibition. 11. A computing device comprising a non-transitory computer-readable storage medium on which are stored program instructions, the instructions being executable by at least one processing core of a processing unit to cause the processing unit to execute a a method of programming electric vehicle charging, the method comprising: receiving, over a communications channel, in the memory of the computing device, repeated sensor readings from a battery of an electric vehicle, the sensor readings monitoring a charging the battery while the electric vehicle travels along a programmed route simultaneously; the invocation of location circuits in the computing device while monitoring and receiving, from the location circuits in response to Invocation, a geolocation of the electric vehicle; querying a database with the geolocation and receiving, in response to the query, an identified charging station determined to be in the geographical proximity of the geolocation of the electric vehicle; retrieving, from a data store in the memory of the computing device, from a database of programmed routes for the electric vehicle, a programmed route for the electric vehicle after the programmed route simultaneously ; calculating, by the at least one processing core, a threshold load required to complete the concurrently scheduled route and to complete at least a portion of the concurrently scheduled route after the concurrently scheduled route; and, in response to a determination that the monitored charge on the battery is below the threshold level, displaying an alert in a display of the computing device to charge the battery at the identified charging station. 12. A computing device according to claim 11, wherein the threshold load is a level of charge on the battery sufficient to provide sufficient range for the electric vehicle to move from the identified charging station until the completion of the route. programmed after the concurrently programmed route. 13. A computing device according to claim 11, wherein the threshold charge is determined by: calculating a range for the electric vehicle when the battery is fully charged; the determination of a position on the programmed route after the simultaneously programmed route, the position corresponding to the calculated range measured from the identified charging station; locating an additional charging station along the scheduled route after the simultaneously scheduled route closest to the determined position and between the determined position and the identified charging station; calculating a sufficient battery charge level to reach the additional charging station; and, legalization of the threshold load according to the level of load. 14. The computing device of claim 11, wherein the method further comprises, in response to receiving via the display an affirmation of an intention to recharge the battery at the identified charging station, communicating with a computing device at the charging station identified on a computer communications network to order the marking of a particular socket at the charging station identified as being reserved for the electric vehicle and to order the prohibition to other electric vehicles from using the particular socket. 15. A computing device according to claim 14, wherein the method further comprises calculating an estimated time of arrival (ETA) of the electric vehicle at the identified charging station, receiving a request to use the particular outlet by a different vehicle, further calculating an estimated time to charge a battery of the different vehicle at the particular outlet and, provided that the estimated time to charge the battery is less than the ETA of the electric vehicle, to circumvent the ban.