Abstract:
A computer implemented method includes receiving a vehicle route. The method further includes receiving data relating to a vehicle charge level. Also, the method includes estimating a power requirement required to travel the length of the vehicle route. The method additionally includes contingent on a vehicle charge state being insufficient to meet the power requirement, comparing the vehicle route to power outage data to establish the presence of power outage regions along the vehicle route. Further, the method includes sending a warning for at least one portion of the route containing a power outage region to a vehicle computing system for relay to a driver.

Description:
TECHNICAL FIELD 
     The illustrative embodiments generally relate to a method and apparatus for vehicle routing. 
     BACKGROUND 
     The availability and inclusion of navigational systems in vehicles has created a variety of opportunities with respect to driver navigation and routing. Drivers can be provided with a fastest route, a non-highway route, a fuel efficient route, etc. Navigational systems can be provided as part of a standard vehicle package, on a portable phone, or as standalone devices usable in a vehicle. 
     Through existing infotainment systems, such as the FORD SYNC system, vehicles computing systems can access cloud-based services. This can help integrate typically off-board computing services into a vehicle computing system. Through a connection established through, for example, a wireless device, a vehicle computing system can access a cloud-based computing system and bi-directionally communicate therewith. 
     The off-board computer, server, etc. can utilize resources not available locally at the vehicle such as increased computing power, database access, internet access, etc. and incorporate this available data/computing power into its processes. This can expand the range of options and opportunities available for provision of services at the vehicle. 
     SUMMARY 
     In a first illustrative embodiment, a computer implemented method includes receiving a vehicle route. The exemplary method further includes receiving data relating to a vehicle charge level. Also, the method includes estimating a power requirement required to travel the length of the vehicle route. 
     The method additionally includes contingent on a vehicle charge state being insufficient to meet the power requirement, comparing the vehicle route to power outage data to establish the presence of power outage regions along the vehicle route. Further, the method includes sending a warning for at least one portion of the route containing a power outage region to a vehicle computing system for relay to a driver. 
     In a second illustrative embodiment, a computer implemented method includes receiving a vehicle route and storing the vehicle route. The method also includes comparing the vehicle route to power outage data to establish the presence of power outage regions along the vehicle route, while a vehicle is traveling along the route. Further, the method includes sending a warning for at least one portion of the route containing a power outage region to a vehicle computing system for relay to a driver. 
     In a third illustrative embodiment, a computer implemented method includes receiving a vehicle route. The method also includes comparing the vehicle route to power outage data to establish the presence of power outage regions along the vehicle route. Further, the method includes sending a warning for at least one portion of the route containing a power outage region to a vehicle computing system for relay to a driver. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIG. 1  shows an illustrative vehicle computing system; 
         FIG. 2  shows an illustrative outage map; 
         FIG. 3  shows an illustrative process for processing outages; 
         FIG. 4  shows an illustrative process for updating a route; 
         FIG. 5  shows an illustrative process for warning a driver; and 
         FIG. 6  shows an illustrative process for route handling. 
     
    
    
     DETAILED DESCRIPTION 
     As required, detailed embodiments of the present invention are disclosed herein; however, it is to be understood that the disclosed embodiments are merely exemplary of the invention that may be embodied in various and alternative forms. The figures are not necessarily to scale; some features may be exaggerated or minimized to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention. 
       FIG. 1  illustrates an example block topology for a vehicle based computing system  1  (VCS) for a vehicle  31 . An example of such a vehicle-based computing system  1  is the SYNC system manufactured by THE FORD MOTOR COMPANY. A vehicle enabled with a vehicle-based computing system may contain a visual front end interface  4  located in the vehicle. The user may also be able to interact with the interface if it is provided, for example, with a touch sensitive screen. In another illustrative embodiment, the interaction occurs through, button presses, audible speech and speech synthesis. 
     In the illustrative embodiment 1 shown in  FIG. 1 , a processor  3  controls at least some portion of the operation of the vehicle-based computing system. Provided within the vehicle, the processor allows onboard processing of commands and routines. Further, the processor is connected to both non-persistent  5  and persistent storage  7 . In this illustrative embodiment, the non-persistent storage is random access memory (RAM) and the persistent storage is a hard disk drive (HDD) or flash memory. 
     The processor is also provided with a number of different inputs allowing the user to interface with the processor. In this illustrative embodiment, a microphone  29 , an auxiliary input  25  (for input  33 ), a USB input  23 , a GPS input  24  and a BLUETOOTH input  15  are all provided. An input selector  51  is also provided, to allow a user to swap between various inputs. Input to both the microphone and the auxiliary connector is converted from analog to digital by a converter  27  before being passed to the processor. Although not shown, numerous of the vehicle components and auxiliary components in communication with the VCS may use a vehicle network (such as, but not limited to, a CAN bus) to pass data to and from the VCS (or components thereof). 
     Outputs to the system can include, but are not limited to, a visual display  4  and a speaker  13  or stereo system output. The speaker is connected to an amplifier  11  and receives its signal from the processor  3  through a digital-to-analog converter  9 . Output can also be made to a remote BLUETOOTH device such as PND  54  or a USB device such as vehicle navigation device  60  along the bi-directional data streams shown at  19  and  21  respectively. 
     In one illustrative embodiment, the system  1  uses the BLUETOOTH transceiver  15  to communicate  17  with a user&#39;s nomadic device  53  (e.g., cell phone, smart phone, PDA, or any other device having wireless remote network connectivity). The nomadic device can then be used to communicate  59  with a network  61  outside the vehicle  31  through, for example, communication  55  with a cellular tower  57 . In some embodiments, tower  57  may be a WiFi access point. 
     Exemplary communication between the nomadic device and the BLUETOOTH transceiver is represented by signal  14 . 
     Pairing a nomadic device  53  and the BLUETOOTH transceiver  15  can be instructed through a button  52  or similar input. Accordingly, the CPU is instructed that the onboard BLUETOOTH transceiver will be paired with a BLUETOOTH transceiver in a nomadic device. 
     Data may be communicated between CPU  3  and network  61  utilizing, for example, a data-plan, data over voice, or DTMF tones associated with nomadic device  53 . Alternatively, it may be desirable to include an onboard modem  63  having antenna  18  in order to communicate  16  data between CPU  3  and network  61  over the voice band. The nomadic device  53  can then be used to communicate  59  with a network  61  outside the vehicle  31  through, for example, communication  55  with a cellular tower  57 . In some embodiments, the modem  63  may establish communication  20  with the tower  57  for communicating with network  61 . As a non-limiting example, modem  63  may be a USB cellular modem and communication  20  may be cellular communication. 
     In one illustrative embodiment, the processor is provided with an operating system including an API to communicate with modem application software. The modem application software may access an embedded module or firmware on the BLUETOOTH transceiver to complete wireless communication with a remote BLUETOOTH transceiver (such as that found in a nomadic device). Bluetooth is a subset of the IEEE 802 PAN (personal area network) protocols. IEEE 802 LAN (local area network) protocols include WiFi and have considerable cross-functionality with IEEE 802 PAN. Both are suitable for wireless communication within a vehicle. Another communication means that can be used in this realm is free-space optical communication (such as IrDA) and non-standardized consumer IR protocols. 
     In another embodiment, nomadic device  53  includes a modem for voice band or broadband data communication. In the data-over-voice embodiment, a technique known as frequency division multiplexing may be implemented when the owner of the nomadic device can talk over the device while data is being transferred. At other times, when the owner is not using the device, the data transfer can use the whole bandwidth (300 Hz to 3.4 kHz in one example). While frequency division multiplexing may be common for analog cellular communication between the vehicle and the internet, and is still used, it has been largely replaced by hybrids of with Code Domian Multiple Access (CDMA), Time Domain Multiple Access (TDMA), Space-Domian Multiple Access (SDMA) for digital cellular communication. These are all ITU IMT-2000 (3G) compliant standards and offer data rates up to 2 mbs for stationary or walking users and 385 kbs for users in a moving vehicle. 3G standards are now being replaced by IMT-Advanced ( 4 G) which offers 100 mbs for users in a vehicle and 1 gbs for stationary users. If the user has a data-plan associated with the nomadic device, it is possible that the data-plan allows for broad-band transmission and the system could use a much wider bandwidth (speeding up data transfer). In still another embodiment, nomadic device  53  is replaced with a cellular communication device (not shown) that is installed to vehicle  31 . In yet another embodiment, the ND  53  may be a wireless local area network (LAN) device capable of communication over, for example (and without limitation), an 802.11g network (i.e., WiFi) or a WiMax network. 
     In one embodiment, incoming data can be passed through the nomadic device via a data-over-voice or data-plan, through the onboard BLUETOOTH transceiver and into the vehicle&#39;s internal processor  3 . In the case of certain temporary data, for example, the data can be stored on the HDD or other storage media  7  until such time as the data is no longer needed. 
     Additional sources that may interface with the vehicle include a personal navigation device  54 , having, for example, a USB connection  56  and/or an antenna  58 , a vehicle navigation device  60  having a USB  62  or other connection, an onboard GPS device  24 , or remote navigation system (not shown) having connectivity to network  61 . USB is one of a class of serial networking protocols. IEEE 1394 (firewire), EIA (Electronics Industry Association) serial protocols, IEEE 1284 (Centronics Port), S/PDIF (Sony/Philips Digital Interconnect Format) and USB-IF (USB Implementers Forum) form the backbone of the device-device serial standards. Most of the protocols can be implemented for either electrical or optical communication. 
     Further, the CPU could be in communication with a variety of other auxiliary devices  65 . These devices can be connected through a wireless  67  or wired  69  connection. Auxiliary device  65  may include, but are not limited to, personal media players, wireless health devices, portable computers, and the like. 
     Also, or alternatively, the CPU could be connected to a vehicle based wireless router  73 , using for example a WiFi  71  transceiver. This could allow the CPU to connect to remote networks in range of the local router  73 . 
     In addition to having exemplary processes executed by a vehicle computing system located in a vehicle, in certain embodiments, the exemplary processes may be executed by a computing system in communication with a vehicle computing system. Such a system may include, but is not limited to, a wireless device (e.g., and without limitation, a mobile phone) or a remote computing system (e.g., and without limitation, a server) connected through the wireless device. Collectively, such systems may be referred to as vehicle associated computing systems (VACS). In certain embodiments particular components of the VACS may perform particular portions of a process depending on the particular implementation of the system. By way of example and not limitation, if a process has a step of sending or receiving information with a paired wireless device, then it is likely that the wireless device is not performing the process, since the wireless device would not “send and receive” information with itself. One of ordinary skill in the art will understand when it is inappropriate to apply a particular VACS to a given solution. In all solutions, it is contemplated that at least the vehicle computing system (VCS) located within the vehicle itself is capable of performing the exemplary processes. 
     A primary concern of Battery Electric Vehicle (BEV) customers is the question of whether they can reach their destination on the charge available on their electric vehicle. This condition is commonly known as “charge anxiety.” BEVs and other full or partially electric vehicles will often have some sort of range projection provided thereto, which allows a driver to see approximately how much range remains in the vehicle. Preferably, the driver will reach a destination, including a charging point, before the vehicle runs out of charge. If not, the driver will need to stop somewhere along the way to charge the vehicle. 
     While the driver must be somewhat aware of the current vehicle charge state (even more so than in a gas vehicle, due the relative infrequency of charging stations), it is likely that the driver will also be aware of local charging points so that routing need not always be within the range of a single charge. For example, if a driver needs to drive thirty miles to work, and a charging station is halfway between the driver and the office, the driver only need to have fifteen to twenty miles of charge in a vehicle when leaving the house or the office, and can stop and recharge in such a scenario. Regardless of the fact that this may add time to the commute, at least the driver has the option to recharge the vehicle. 
     Of course, if the driver were to reach the charging station and discover that the power was out, the driver would be in a difficult situation. Since there would likely not be enough charge to reach a next charging station, the driver would literally be stuck at that charging point for the duration of the blackout (barring towing). Or, if a driver had thirty five miles of charge in the above scenario and drove home without charging, only to discover the power was out at home (but on at the charging station), the driver may have insufficient time or capability to recharge the vehicle at home to travel to work the next day. Had the driver known of the outage, the driver could have stopped at the charging station along the way and put sufficient charge in the vehicle for the following day&#39;s travel. 
       FIG. 2  shows an illustrative outage map. This non-limiting example of a power outage map can be generated by a remote server and/or obtained, for example, from a power provider. In one illustrative example, a company, such as, but not limited to, an automotive OEM, can contact a power company or access a power company website or database for a list of outages. The information can come in the form of a map, data, etc. 
     If the information is data, it may include, but is not limited to, geofences around outage areas defining the outages. This information can be used to generate a map or simply utilized as datapoints to determine if routes pass through or end in outages. 
     If the information is a map, the OEM (supplier, vendor, data servicer, etc.) can determine geofencing from the map, or utilize other suitable methods to determine where outages exist. If the information is in an alternative form, it can be utilized as appropriate. 
     In this example, the map shows several usable pieces of information. In addition to outages, in this example, several routes have been overlaid on the map to define an exemplary “optimum charge route” versus an “optimum recharge availability route.” Both routes extend from point A  201  to point B  203 . 
     The first route is an optimum charge route  205 , which may also include optimizations such as traffic, weather, and other fuel efficiency considerations. Additionally or alternatively, the route or another alternative route could be simply based on time efficiency. Other suitable “optimal” routes may be determined in conjunction with driver or manufacturer settings/desires/etc. 
     The second route here  207 , is the optimal recharge route. This route can be employed if the vehicle is low on charge, if high traffic on the main route indicates that a driver may not be able to pass through the outage area(s) on the current charge, if the driver just wishes to be cautious, etc. 
     In addition, the map shows various outage areas  209 ,  211 ,  213 . Outages are coded by affected customers, so that designations between high outage and low outage areas may be determined. If there were sufficient charging stations, it may even be possible to have charging stations reporting statuses online, such that the data could be used to determine if a given station or stations along a route were affected. 
       FIG. 3  shows an illustrative process for processing outages. In this illustrative embodiment, routing decisions, or at least outage routing decisions are made by a remote server. In another example, the data may be downloaded to a vehicle for processing in-vehicle. 
     In this illustrative example, the process contacts a power company or other data provider  301  to obtain current outage data  303 . Additionally or alternatively, a constant connection could be established, or connections could be automatically established in the event of likely power outage conditions (e.g., triggered by blackouts, storms, high winds, snowfall, etc.). 
     Once the outages are downloaded, the process may flag one or more outage areas  305 . The outage areas can be generally flagged, or can have severity flags associated therewith. For example, it may not be necessary or desirable to route a user around a large area affected by only a few spot outages. On the other hand, a cautious driver may wish to avoid all outage areas, in order to ensure that power supply is present throughout a journey. 
     Additionally, in this embodiment, a list of known recharging stations is compared to the outage areas  307 . These can include commercial stations, known charging points and other spots where charging may be obtained. In this example, the charging stations are flagged  309  so that if a route was to suggest a recharge at a particular station or point, the routing engine would know with at least some degree of precision (e.g., without limitation, low, medium, high, etc.) whether or not the station was likely to be operational. 
     Currently, given the limited number of known charging stations and charging points, cross referencing charging points/stations with an outage grid can help in the determination of whether or not a vehicle should travel through an “outage” area. For example, if a relatively comprehensive list of stations/points is available, and there are none known to be along a particular optimal route, it would make little sense to route a user off of that route, since charging could not presumably be obtained in any event. On the other hand, if an alternative route would be recommended in any event, to obtain charging, it would be useful to know if there was an outage in the vicinity of a recommended charging point. Charging points may also include driver designated points (e.g., relatives, friends, etc.) where the driver has input a location as a charging point and/or the vehicle has previously charged (and thus possibly saved the location as a charging point). 
       FIG. 4  shows an illustrative process for updating a route. Again, in this example, route calculation is done off-board of the vehicle, although this process could be performed by a navigation device (GPS device, smart phone, etc.) in communication with a vehicle computing system or by the vehicle computing system itself. 
     Once an optimal route (according to any desired parameters) has been calculated  401 , the process compares the route to known outages  403 . As previously noted, this can be done using geographic data (comparing points on the route to geofencing), by overlaying the route on a map showing outages, or by any other suitable technique. If there are no affected areas  405  (or no affected areas above a determined threshold) the process exits. 
     If there are affected areas along a route, the process aggregates the affected areas to determine what degree of re-routing is necessary  407 . This is just one illustrative example of how outage areas may be handled. In another example, each outage area may be handled individually. In this example, all of the “threshold” areas along a route are designated as “no travel zones,” “warning zones,” etc., so that route recalculation avoids all areas without a need for repetitive routing. For example, without limitation, roads passing through these areas can be treated as if the roads terminate at the border of the affected area (if, for example, the affected area is a “no travel” area). 
     In addition, although not shown, if a recharge station is within a “safe” area not far from any affected area (or anywhere along a recommended re-route), the process can recommend a stop at the station and then potentially ignore any further no-travel spots, depending on whether or not the driver is expected (or indicates) that a charging stop will be made. 
     In addition to determining affected areas along a route, the process will take actions as needed  409 . In one non-limiting example, at least “no travel” and “warning” zones exist. “No travel” zones will be routed around as needed, while “warning” zones may only generate a warning to the driver that stations within these zones are possibly not operational. If any no travel zones exist on the route, the process may proceed to route around  411  any zones where travel would be likely to result in an out-of-power condition. A new optimal route may then be delivered to the vehicle as determined by the system if needed  413 . 
       FIG. 5  shows an illustrative process for warning a driver. In this illustrative example, it is not necessarily known where a driver is traveling. This may be a common scenario for many drivers traveling from a known point to a known point. The driver may not wish to input a specific route, or may not even be sure where a route will end (e.g., a shopping trip). In such a situation, it would be useful for a driver to be aware of a potential charging problem. For example, if a charge station was proximate to a shopping stop, the driver may wish to charge a vehicle while engaging in shopping. If the charge station was out of power, the driver may reach the destination only to discover that recharging is not available, and insufficient charge remains to return home. 
     In this illustrative example, the process (again, for exemplary purposes, running remotely), receives range data from a vehicle  501 . The range data can dictate a maximum travel distance, an out-and-back travel distance, a radial travel distance based on road-speeds, traffic (e.g., if one direction is rural and another direction is urban), etc. To be safe, an additional margin of error may be built into the range data (for example, without limitation, subtract X % from the projected range to account for unknown energy consumption). The radial travel range (or other suitable measurement of travel range) can then be compared to known outages  503 . 
     In at least one example, if charging stations are present and/or prevalent in an area, a maximum travel range may be initially used (designating a range where a vehicle can travel until power is depleted) and then the calculation may be adjusted to a more conservative estimate (e.g., without limitation, an out-and-back range) if there is significant power outage in the original radius. 
     Once the general travel range has been selected, it is determined if there are any affected areas within a likely travel area  505 . This process, as noted above, may also be a recursive process, to help ensure that a driver does not encounter a no-charge situation. 
     If there is one or more affected areas within the projected travel range, appropriate action may be taken. Actions include, but are not limited to, warning a driver generally of outages, warning a driver of areas to avoid, repeatedly checking outages as a driver travels to ensure a no-power area is not being entered on a low charge, etc. Any suitable warnings may then be delivered to the driver as necessary  509 . 
     In one example, if charging locations are known/accessible, the process may determine that a driver is approaching a no-power or high-outage area (or any suitable threshold region). The process could determine, for example, that a likely-powered charging station is three miles from a driver&#39;s current location, and that, if the driver travels more than X miles in the current direction, the likelihood of recharge or returning to a known/likely working charging station is very low. In such an instance, the process may alert the driver that the driver is approaching a point of no return, wherein charging should be obtained before traveling any further in the current direction lest the driver reach a point where no charging can be/can likely be obtained. 
       FIG. 6  shows an illustrative process for route handling. In this illustrative example, different actions a process can take based on differing outage scenarios are shown in a non-limiting embodiment. These examples are merely exemplary and are not intended to limit the scope of the invention in any fashion. 
     In this illustrative process at least one area of possible driver interest has been noted as shown, in illustrative example, in elements  405  and/or  505 . In this embodiment, the “first cut” analysis reveals that some portion of a driver&#39;s route passes through an area in which at least some level of power outage is indicated. 
     The levels of concern in this embodiment are low, medium and high, although these demarcations are chose for illustrative purposes only. More specific designations can be selected, or broader generalizations can be used if desirable. Actions in accordance with a known/detected power outage risk can then be taken. 
     In this example, the process determines if the affected area along the route (and the process can repeat until all affected areas have been considered) is a low risk area  601 . Low risk may correspond, for example, to only a few outages (as indicated by data from the power company) or a low percentage of outages (as indicated by data from the power company), or any other suitable data indicating that it is still reasonably likely that an encountered recharging station will have power. 
     If there is a low risk, in this example, a driver will be alerted of the condition  603 . In this example, all the alerts for all areas along a route are aggregated  619  so that a comprehensive list of warnings and routing suggestions can be delivered to a driver. The alert(s) can include a percentage/number of outages and any other reasonable data. 
     In at least one example, if the locations of charging points (commercial or private points used by a driver previously or otherwise indicated) are known, it may only be relevant to inform a driver of an outage if there is a charging point within the outage area. I.e., if there is no charging point in the outage area, the driver would not be able to stop in that area to recharge regardless of whether or not there was a power outage, so the power outage is of little concern to a driver&#39;s ability to recharge. On the other hand, drivers may want to know about all outages along a route, in case they are aware of a station of which the computer is not aware, or if they need to make an emergency stop, etc. 
     Once the alert warnings have been noted for one or more low risk areas, the process checks to see if there are any medium risk areas along a route  605 . Medium risk areas, in this example, may correspond to a higher percentage or number of outages and introduce a higher likelihood that a particular station or charging point will not have power. Again, this information may, in one example, only be presented for the areas in which a known charging point or charging station exists. 
     In this embodiment, since there is a higher possibility of the driver not being able to recharge along a route in a medium risk area, the process may recommend a pre-charge of at least some level  607 . This could correspond to charging a vehicle until an estimated amount of power required to reach to a known, usable charging point is obtained; until an estimated amount of power to reach a destination is obtained, etc. 
     In addition to possibly recommending a pre-charge, especially if a vehicle is low on power, the process may also add one or more warnings to the warning/suggestion aggregate  609 . These warnings could differ in severity from the low risk warnings, and could provide the driver with additional information about the medium risk outages. 
     Also, in this example, the process checks for any areas where there is a high risk of charging points having no power  611 . This could correspond to any areas where the risk is above a medium point and it is reasonably likely that a charging station/point will not have power if the driver desires to stop there. In this example, several potential specific warning conditions can be accounted for. In one instance, a “don&#39;t drive” warning may be sent to the driver  613 . This could be, for example, if the route is long enough that at least one stop must be made, regardless of initial charge state, and significant portions of the route are covered in high risk zones. For example, if a vehicle has a range of four hundred miles, and a six hundred mile journey through a region of heavy snowfall, outages and winter storms is planned, the driver will have to stop at least once. If the middle four hundred miles of the route is blanketed in high outage zones, or even if only known charging points along the route all lie in high outage zones, the process may recommend that the driver not drive until a later time. 
     In another example, the process may recommend a new route  615  that avoids the riskiest area(s) along the route. Re-routing can be done such that a new route is found avoiding high outage areas as much as possible, while at the same time attempting to minimize travel time and, if desired, provide the user with at least one recharge point in a low or no risk zone in case of emergency. In another example, not shown, re-routing could even be recommended with regards to medium risk or low risk zones, so that a known charging point of at least one level lower is included in a route. 
     Re-routing may be attempted by a routing engine, and if no possible route is available the process may return to recommending “don&#39;t drive,” or at least a pre-charge, in the case that the distance along the route (plus any known delays) is less than the total maximum range (i.e., short enough that a vehicle charged to some level can travel the entire route). 
     Warnings to the driver may also be added in the high risk instances  617 . If desired, these warnings could be severe in nature and designed to ensure that the driver pays attention to them, at least more so than the lesser warnings associated with other lower risk areas. Once all warnings for all desired zones have been added, the warnings are aggregated  619  for delivery to the vehicle. The data delivered to the vehicle can also include any recommended reroutings or power pre-charging. 
     Data can also be included in a conditional form. For example, if a re-route is recommended, and the driver elects not to re-route, then information recommended a pre-charge can be presented. If the driver elects to follow the re-route suggestion, the information pertaining to the pre-charge can be ignored, in this example, since the driver will be traveling through a zone where charging is possible. 
     In at least one illustrative embodiment, in addition to receiving the data and providing re-routes and/or warnings at the inception of a journey, a remote server can store route data at least temporarily. As power outages are updated, the server can compare updated outages to stored route data for a plurality of vehicles. If certain outage changes affect vehicle routes, the server can take appropriate action (in accordance with the described illustrative embodiments) and send warnings, re-routes, etc. corresponding to the newly available data. This can help drivers re-route around new outages or stop and charge a vehicle earlier than may have been planned if the driver is approaching an area along a route that is in an outage state and power may be insufficient to carry the driver through the area. 
     While the above examples have been given with respect to electric vehicles, the techniques described and taught herein could also be applied to vehicles utilizing gasoline for fuel. In such an instance, the “charging points” referred to above would instead correspond to gas stations or other refueling options, including, but not limited to, replacement of fuel cells/packs, hydrogen, natural gas, liquid nitrogen, compressed air, etc. 
     While exemplary embodiments are described above, it is not intended that these embodiments describe all possible forms of the invention. Rather, the words used in the specification are words of description rather than limitation, and it is understood that various changes may be made without departing from the spirit and scope of the invention. Additionally, the features of various implementing embodiments may be combined to form further embodiments of the invention.