Electric vehicle power management system
An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.
1. A method of electric vehicle operation, comprising:
determining a plurality of segments of a vehicle route travelled by one or more users using a vehicle;
determining information about traffic conditions from a vehicle connected telemetry system,
determining information about operational status of the vehicle;
retrieving data associated with one or more past trips of the vehicle on the vehicle route;
using the determined segments, traffic, the retrieved data associated with the one or more past trips, and vehicle information to calculate one or more speeds over the segments of the vehicle route;
using a power management system of the vehicle, applying electric power to the vehicle to travel along the segments of the vehicle route at the one or more calculated speeds; and
the power management system determining a future destination using historical data associated with the one or more users, wherein the future destination is a destination at which the vehicle will be parked and turned off, wherein one of the one or more users is a driver, and wherein the future destination is determined at least in part using an identity of the driver that is one of inferred by the power management system and input by the driver;
wherein the one or more calculated speeds are based at least in part on determined probable optimal speeds using historical route information, and wherein the probable optimal speeds are configured for optimal energy efficiency of the vehicle on the vehicle route.
2. The method of claim 1 , further comprising the step of determining a future destination using statistical destination logic.
3. The method of claim 1 , wherein the one or more calculated speeds are based at least in part on iteratively simulated speeds.
4. An electric vehicle, comprising:
a vehicle having an electric power source, a communication system including a vehicle connected telemetry system able to determine traffic conditions, and a user interface system configured to receive input from one or more users of the vehicle; and
a power management system for the electric power source able to determine information about an external environment of the vehicle, with the power management system set to calculate one or more speeds over a plurality of segments of a vehicle route and acting to apply calculated electric power to the vehicle to travel along the segments of the vehicle route at the one or more calculated speeds;
wherein the segments are resegmented in response to one of a change in traffic and a change in weather; and
wherein the vehicle route is set based on a future destination determined by the power management system based at least in part using historical data associated with the one or more users, wherein the future destination is a destination at which the vehicle will be parked and turned off, wherein one of the one or more users is a driver, and wherein the future destination is determined at least in part using an identity of the driver that is one of inferred by the power management system and input by the driver.
5. The vehicle of claim 4 , wherein the vehicle route is set based on a future destination determined at least in part using statistical destination logic.
6. The vehicle of claim 4 , wherein each vehicle route segment comprises a separate calculated speed, and wherein each separate calculated speed is based at least in part on one of historical information of the vehicle traveling the vehicle route and historical information of one or more other vehicles traveling the vehicle route.
7. The vehicle of claim 4 , wherein the one or more calculated speeds are based at least in part on determined probable optimal speeds using historical route information, and wherein the probable optimal speeds are configured for optimal energy efficiency of the vehicle on the vehicle route.
8. The vehicle of claim 4 , wherein the one or more calculated speeds are based at least in part on iteratively simulated speeds.
9. The method of claim 1 , wherein the segments are resegmented in response to one of a change in traffic and a change in weather.
10. The method of claim 1 , wherein the vehicle route segments are determined using route segmentation logic based at least in part on one of historical information of the vehicle traveling the vehicle route and historical information of one or more other vehicles traveling the vehicle route.
11. The method of claim 1 , wherein the future destination is not explicitly provided by the one or more users.
12. The method of claim 1 , wherein the one or more calculated speeds are based at least in part on measured energy efficiency of multiple prior trips by at least one of the one or more users driving the vehicle on the vehicle route.
13. The method of claim 1 , wherein the power management system determines the future destination while the vehicle is travelling to the future destination.
14. The method of claim 1 , wherein the information about operational status of the vehicle is selected from the group consisting of a voltage of a battery, a temperature of the battery, an age of the battery, a number of times the battery has charged and discharged, a drag force due to rolling resistance of the vehicle, an amount of air going to an engine of the vehicle, and a weight of at least one of the one or more users.
15. The vehicle of claim 4 , wherein the information about the external environment of the vehicle is selected from the group consisting of: an elevation of the vehicle, upcoming elevations of the vehicle, a location of a stoplight, a timing of a stoplight, a present angle of the sun, a predicted angle of the sun for an upcoming segment of the vehicle route, a predicted wind direction for an upcoming segment of the vehicle route, a predicted wind velocity for an upcoming segment of the vehicle route, a predicted temperature for an upcoming segment of the vehicle route, and a predicted air pressure for an upcoming segment of the vehicle route.
16. The vehicle of claim 4 , wherein the future destination is not explicitly provided by the one or more users.
17. The vehicle of claim 4 , wherein the power management system determines the future destination while the vehicle is travelling to the future destination.
18. The vehicle of claim 4 , wherein the one or more calculated speeds are based at least in part on measured energy efficiency of multiple prior trips by at least one of the one or more users driving the vehicle on the vehicle route.
19. The vehicle of claim 4 , wherein the power management system is further able to determine information about operational status of the vehicle selected from the group consisting of: a voltage of a battery, a temperature of the battery, an age of the battery, a number of times the battery has charged and discharged, a drag force due to rolling resistance of the vehicle, an amount of air going to an engine of the vehicle, and a weight of at least one of the one or more users.
20. The method of claim 1 , further comprising determining information about an external environment of the vehicle selected from the group consisting of: an elevation of the vehicle, upcoming elevations of the vehicle, a location of a stoplight, a timing of a stoplight, a present angle of the sun, a predicted angle of the sun for an upcoming segment of the vehicle route, a predicted wind direction for an upcoming segment of the vehicle route, a predicted wind velocity for an upcoming segment of the vehicle route, a predicted temperature for an upcoming segment of the vehicle route, and a predicted air pressure for an upcoming segment of the vehicle route.