Systems and methods for reducing the cost of vehicle charging based on route prediction

US9713962B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9713962-B2
Application numberUS-201514869215-A
CountryUS
Kind codeB2
Filing dateSep 29, 2015
Priority dateSep 29, 2015
Publication dateJul 25, 2017
Grant dateJul 25, 2017

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A system for cost-effective charge planning for a battery of a vehicle includes a battery having a SOC corresponding to an amount of energy stored by the battery. The system also includes an internal electric vehicle charger capable of receiving energy from a charging station and transferring the energy to the battery to increase the SOC. The system includes an electronic control unit (ECU) that can predict a route set including a first destination and a second destination and an amount of time spent at each. The ECU can determine charge planning data including an amount of energy required to reach the first and second destinations and a cost of energy at the first and second destinations. The ECU can determine how much to charge the battery at the first destination and at the second destination based on the predicted route set and the determined charge planning data.

First claim

Opening claim text (preview).

What is claimed is: 1. A system for cost-effective charge planning for a battery of a vehicle comprising: a battery having a state of charge (SOC) corresponding to a current amount of electrical energy stored by the battery; an internal electric vehicle charger coupled to the battery and configured to receive electrical energy from a charging station and transfer the electrical energy to the battery to increase the SOC of the battery; and an electronic control unit (ECU) coupled to the internal electric vehicle charger and configured to: predict a route set including a first destination and a second destination and an amount of time spent at each, determine a confidence value corresponding to a certainty that the predicted route set corresponds to an actual route set that will be driven, determine charge planning data including an amount of electrical energy required to reach the first destination from a current location, an amount of electrical energy required to reach the second destination from the first destination, a cost of electrical energy at the first destination and a cost of electrical energy at the second destination, and determine how much to charge the battery at the first destination and at the second destination based on the predicted route set, the confidence value and the determined charge planning data. 2. The system of claim 1 further comprising a navigation unit coupled to the ECU and configured to detect the current location of the vehicle and wherein the ECU is further configured to predict the route set based on the current location of the vehicle. 3. The system of claim 1 wherein the ECU is further configured to predict the route set based on at least one of a current time of day or a current day of the week. 4. The system of claim 1 wherein the ECU is further configured to determine that the battery should be charged to an upper SOC limit at the first destination when the cost of electrical energy at the first destination is the same as or less than the cost of electrical energy at the second destination. 5. The system of claim 1 wherein the ECU is further configured to determine that the battery should only be charged at the first destination with sufficient electrical energy to reach the second destination plus a margin of electrical energy when the cost of electrical energy at the first destination is less than the cost of electrical energy at the second destination. 6. The system of claim 1 wherein the ECU is further configured to determine that the battery should not be charged at the first destination when the battery has a sufficient SOC to power the vehicle to the second destination from the current location and the cost of electrical energy is less at the second destination than at the first destination. 7. The system of claim 1 further comprising a user interface coupled to the ECU and configured to receive at least one of: feedback indicating that the ECU has determined an incorrect cost of electrical energy; feedback requesting to disable the cost-effective charge planning; feedback indicating that a previously unknown charging station is present at a location; or feedback requesting to forget at least one of the route set or a route within the route set. 8. The system of claim 1 wherein the ECU is further configured to determine that the battery should be charged to a first SOC level at the first destination when the confidence value is greater than a threshold confidence value and to a second SOC level that is greater than the first SOC level at the first destination when the confidence value is less than the threshold confidence value. 9. The system of claim 1 further comprising a shared charge station database coupled to the ECU and to an ECU of a second vehicle and configured to store the cost of electrical energy at the first destination and the cost of electrical energy at the second destination. 10. The system of claim 1 further comprising a network access device coupled to the ECU and configured to communicate with at least one utility company and wherein the ECU is further configured to determine the cost of electrical energy at least one of at the first destination or at the second destination by querying the at least one utility company via the network access device. 11. The system of claim 1 further comprising a battery management system (BMS) coupled to the ECU and configured to at least one of detect or receive data corresponding to the SOC of the battery, wherein the ECU is further configured to determine the SOC of the battery based on the data received from the BMS and wherein the charge planning data further includes the SOC of the battery. 12. A vehicle capable of cost-effective charge planning comprising: a battery having a state of charge (SOC) corresponding to a current amount of electrical energy stored by the battery; a navigation unit configured to detect a current location of the vehicle, to predict a route set including a first destination and a second destination and an amount of time spent at each, and to determine a confidence value corresponding to a certainty that the predicted route set corresponds to an actual route set that will be driven; an internal electric vehicle charger coupled to the battery and configured to receive electrical energy from a charging station and transfer the electrical energy to the battery to increase the SOC of the battery; and an electronic control unit (ECU) coupled to the navigation unit and configured to: determine an amount of electrical energy required to reach the first destination from the current location, an amount of electrical energy required to reach the second destination from the first destination, a cost of electrical energy at the first destination and a cost of electrical energy at the second destination, and determine how much to charge the battery at the first destination and at the second destination based on the predicted route set, the SOC of the battery, the confidence value and the determined charge planning data. 13. The vehicle of claim 12 wherein the ECU is further configured to determine that the battery should be charged to an upper SOC limit at the first destination when the cost of electrical energy at the first destination is the same as or less than the cost of electrical energy at the second destination. 14. The vehicle of claim 12 wherein the ECU is further configured to determine that the battery should only be charged at the first destination with sufficient electrical energy to reach the second destination plus a margin of electrical energy when the cost of electrical energy at the first destination is less than the cost of electrical energy at the second destination. 15. The vehicle of claim 12 wherein the ECU is further configured to determine that the battery should not be charged at the first destination when the SOC of the battery is sufficient to power the vehicle to the second destination from the current location and the cost of electrical energy is less at the second destination than at the first destination. 16. The vehicle of claim 12 further comprising a user interface coupled to the ECU and configured to receive at least one of: feedback indicating that the ECU has determined an incorrect cost of electrical energy; feedback requesting to disable cost-effective charge planning; feedback indicating that a previously unknown charging station is present at a location; or feedback requesting to forget at least one of the route set or a route of the route set. 17. The vehicle of claim 12 wherein the E

Assignees

Inventors

Classifications

  • Fuel consumption; Energy use; Emission aspects · CPC title

  • Navigation input · CPC title

  • Operations & Transport · mapped topic

  • Operations & Transport · mapped topic

  • Monitoring or controlling charging stations · CPC title

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Frequently asked questions

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What does patent US9713962B2 cover?
A system for cost-effective charge planning for a battery of a vehicle includes a battery having a SOC corresponding to an amount of energy stored by the battery. The system also includes an internal electric vehicle charger capable of receiving energy from a charging station and transferring the energy to the battery to increase the SOC. The system includes an electronic control unit (ECU) tha…
Who is the assignee on this patent?
Toyota Motor Eng & Mfg North America Inc
What technology area does this patent fall under?
Primary CPC classification B60L11/1838. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Jul 25 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).