Efficiently Charging Electric Vehicles Using a Battery-Based Charger
A computing device collects, during an initial portion of a charging session of an electric vehicle (EV), a plurality of samples indicative of an amount of charge transferred from an EV charger to the EV during a respective time interval; constructs, using the collected plurality of samples, an estimated charge profile for the EV; selects, from among a plurality of prestored charge profiles, a prestored charge profile similar to the estimated charge profile; and adjusts a charge parameter and/or a time estimate associated with the charging session using the selected prestored charge profile.
1 . A method implemented in a computing device, the method comprising:
collecting, during an initial portion of a charging session of an electric vehicle (EV), a plurality of samples, each of the plurality of samples indicative of an amount of charge transferred from an EV charger to the EV during a respective time interval;
constructing, using the collected plurality of samples, an estimated charge profile for the EV;
selecting, from among a plurality of prestored charge profiles, a prestored charge profile similar to the estimated charge profile; and
adjusting a charge parameter and/or a time estimate associated with the charging session using the selected prestored charge profile.
2 . The method of claim 1 , wherein each of the plurality of samples is further indicative of an amount of charge requested by the EV during the respective time interval.
3 . The method of claim 1 , wherein each of the plurality of samples is further indicative of a state of charge (SOC) of a battery of the EV during the respective time interval.
4 . The method of claim 1 , wherein each of the plurality of samples is further indicative of a state of charge (SOC) of a battery of the EV charger during the respective time interval.
5 . The method of claim 1 , wherein the prestored charge profile indicates a change the SOC of the EV during a time period longer than the initial portion of a charging session.
6 . The method of claim 5 , wherein the prestored charge profile indicates how a power output of the EV charger varies with changes in the SOC of the EV.
7 . The method of claim 1 , wherein the plurality of prestored charge profiles correspond to vehicles of different makes and models.
8 . The method of claim 7 , wherein the plurality of prestored charge profiles correspond to different ambient conditions.
9 . A system comprising:
an electric vehicle (EV) charger configured to collect, during an initial portion of a charging session of an EV, a plurality of samples indicative of an amount of charge transferred from the EV charger to the EV during a respective time interval; and
a computing device configured to:
construct, using the collected plurality of samples, an estimated charge profile for the EV,
select, from among a plurality of prestored charge profiles, a prestored charge profile similar to the estimated charge profile, and
cause the EV charger to adjust a charge parameter and/or a time estimate associated with the charging session using the selected prestored charge profile.
10 . The system of claim 9 , wherein each of the plurality of samples is further indicative of an amount of charge requested by the EV during the respective time interval.
11 . The system of claim 9 , wherein each of the plurality of samples is further indicative of a state of charge (SOC) of a battery of the EV during the respective time interval.
12 . The system of claim 9 , wherein each of the plurality of samples is further indicative of a state of charge (SOC) of a battery of the EV charger during the respective time interval.
13 . The system of claim 9 , wherein the prestored charge profile indicates a change the SOC of the EV during a time period longer than the initial portion of a charging session.
14 . The method of claim 13 , wherein the prestored charge profile indicates how a power output of the EV charger varies with changes in the SOC of the EV.
15 . The system of claim 9 , wherein the plurality of prestored charge profiles correspond to vehicles of different makes and models.
16 . The system of claim 15 , wherein the plurality of prestored charge profiles correspond to different ambient conditions.
17 . The system of claim 9 , wherein the computing device is implemented in the EV charger.
18 . The system of claim 9 , wherein the computing device is implemented in a system controller external to the EV charger.