EV ROUTE OPTIMIZATION THROUGH CROWDSOURCING
First Claim
1. A system for determining charging equipment availability through crowdsourcing, comprising:
- a computer memory storage module configured to store executable computer programming instructions; and
a computer processor module operatively coupled to the computer memory storage module, wherein the computer processor module is configured to execute the computer programming instructions to perform the following steps;
gathering information from a plurality of electrically powered vehicles in a geographical region;
displaying a plurality of charging stations in the geographical region, wherein the charging stations each provide electrical charging equipment configured to charge the electrically powered vehicles;
receiving, from a user, a request to obtain an occupancy status of the electrical charging equipment at one or more of the charging stations during a specified future time window;
calculating, based on the information gathered from the plurality of electrically powered vehicles, a likelihood of the electrical charging equipment at the one or more charging stations being unoccupied during the specified future time window, wherein the calculating comprises assigning a weighted probability to each charging station of being visited by at least one of the electrically powered vehicles; and
communicating the likelihood to the user.
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Accused Products
Abstract
The present disclosure involves determining charging equipment availability through crowdsourcing. Information is gathered from a plurality of electrically powered vehicle in a geographical region. The charging stations in the geographical region are displayed. A request is received, from a user, to determine occupancy of the electrical charging equipment at one or more of the charging stations during a specified future time window. A calculation is performed based on the information gathered from the electrically powered vehicles. The calculation calculates a probability of the electrical charging equipment at the one or more charging stations being unoccupied during the specified future time window. As a part of the calculation, a weighted probability is assigned to each charging station of being visited by at least one of the electrically powered vehicles. The probability is communicated to the driver.
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Citations
20 Claims
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1. A system for determining charging equipment availability through crowdsourcing, comprising:
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a computer memory storage module configured to store executable computer programming instructions; and a computer processor module operatively coupled to the computer memory storage module, wherein the computer processor module is configured to execute the computer programming instructions to perform the following steps; gathering information from a plurality of electrically powered vehicles in a geographical region; displaying a plurality of charging stations in the geographical region, wherein the charging stations each provide electrical charging equipment configured to charge the electrically powered vehicles; receiving, from a user, a request to obtain an occupancy status of the electrical charging equipment at one or more of the charging stations during a specified future time window; calculating, based on the information gathered from the plurality of electrically powered vehicles, a likelihood of the electrical charging equipment at the one or more charging stations being unoccupied during the specified future time window, wherein the calculating comprises assigning a weighted probability to each charging station of being visited by at least one of the electrically powered vehicles; and communicating the likelihood to the user. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method of determining charging equipment availability through crowdsourcing, the method comprising:
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gathering information from a plurality of electrically powered vehicles in a geographical region; displaying a plurality of charging stations in the geographical region, wherein the charging stations each provide electrical charging equipment configured to charge the electrically powered vehicles; receiving, from a user, a request to obtain an occupancy status of the electrical charging equipment at one or more of the charging stations during a specified future time window; calculating, based on the information gathered from the plurality of electrically powered vehicles, a likelihood of the electrical charging equipment at the one or more charging stations being unoccupied during the specified future time window, wherein the calculating comprises assigning a weighted probability to each charging station of being visited by at least one of the electrically powered vehicles; and communicating the likelihood to the user. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14)
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15. A non-transitory computer readable medium comprising executable instructions that when executed by a processor, causes the processor to perform the steps of:
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gathering information from a plurality of electrically powered vehicles in a geographical region; displaying a plurality of charging stations in the geographical region, wherein the charging stations each provide electrical charging equipment configured to charge the electrically powered vehicles; receiving, from a user, a request to obtain an occupancy status of the electrical charging equipment at one or more of the charging stations during a specified future time window; calculating, based on the information gathered from the plurality of electrically powered vehicles, a likelihood of the electrical charging equipment at the one or more charging stations being unoccupied during the specified future time window, wherein the calculating comprises assigning a weighted probability to each charging station of being visited by at least one of the electrically powered vehicles; and communicating the likelihood to the user. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification