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US 10,882,411 B2Granted
Smart charging schedules for battery systems and associated methods for electrified vehicles
AssigneeFord Global Technologies, LLC
InventorsXiao Guang Yang, James Matthew Marcicki, Pratima Addepalli, Devang Bhalchandra Dave, Jianbo Lu
Life of this patent
Estimating the term…
Abstract
A method includes controlling charging a battery pack of an electrified vehicle, via a control system of the electrified vehicle, based on climate conditions, traffic conditions, and learned driving habits of a driver of the electrified vehicle. The control system is configured to create a smart charging schedule for either adding or not adding an additional charge to the battery pack in anticipation of an expected upcoming drive cycle.
Claims23
A method, comprising:
- controlling charging of a battery pack of an electrified vehicle, via a control system of the electrified vehicle, based on climate conditions, traffic conditions, and learned driving habits of a driver of the electrified vehicle,
- wherein controlling the charging includes creating a smart charging schedule based on the climate conditions, the traffic conditions, and the learned driving habits,
- wherein controlling the charging includes creating a decision tree for determining an amount of charge necessary to complete an expected upcoming drive cycle of the electrified vehicle,
- wherein the decision tree includes a first branch indicating a time period and a day of a week for the expected upcoming drive cycle, a second branch indicating expected traffic conditions during the time period of the expected upcoming drive cycle, and a third branch indicating expected weather conditions during the time period of the expected upcoming drive cycle.
1 more element
A vehicle system, comprising:
- a battery pack;
- and
- a control system configured to create a smart charging schedule for either adding or not adding an additional charge to the battery pack in anticipation of an expected upcoming drive cycle, wherein the smart charging schedule is prepared based on weather conditions, traffic conditions, and learned driving habits associated with the expected upcoming drive cycle,
- wherein the control system is configured to create a decision tree for determining an amount of charge necessary to complete the expected upcoming drive cycle,
- wherein the decision tree includes a first branch indicating a time period and a day of a week for the expected upcoming drive cycle, a second branch indicating expected traffic conditions during the time period of the expected upcoming drive cycle, and a third branch indicating expected weather conditions during the time period of the expected upcoming drive cycle.
2 more elements
A method, comprising:
- controlling charging of a battery pack of an electrified vehicle, via a control system of the electrified vehicle, based on climate conditions, traffic conditions, and learned driving habits of a driver of the electrified vehicle,
- wherein controlling the charging includes creating a smart charging schedule based on the climate conditions, the traffic conditions, and the learned driving habits,
- wherein controlling the charging includes:
- categorizing a trip history of the driver into a plurality of actionable probability estimates that correspond to a state of charge of the battery pack necessary to complete an excepted upcoming drive cycle;
- comparing the state of charge necessary to complete the expected upcoming drive cycle to a current state of charge of the battery pack;
- charging the battery pack at a current charging location when the state of charge necessary to complete the expected upcoming drive cycle is greater than the current state of charge of the battery pack;
- and
- not charging the battery pack at the current charging location when the state of charge necessary to complete the expected upcoming drive cycle is less than the current state of charge of the battery pack.
5 more elements
Dependencies are inferred from the claim text.