Systems and Methods for Optimizing Charging Schedules of Electric Vehicles with Varying Electricity Price and Charging Curves

A method of managing charging of an electric vehicle (EV) at a charger, the method comprising:

• receiving charging information of a charging session of an EV at a charger, wherein the charging information includes a desired state of charge (SOC) and a vehicle type of the EV;
• obtaining charging curves of a battery of the EV based on the vehicle type;
• receiving an electricity pricing for the charger;
• optimizing a charging schedule based on the charging curves and the electricity pricing, wherein the charging schedule includes price periods and corresponding charging power during the price periods, wherein optimizing a charging schedule further comprises:
• prioritizing charging power for the price periods according to the electricity pricing of the price periods;
• and
• outputting the optimized charging schedule.

A charging management computing device for managing charging of an electric vehicle (EV) at a charger, the charging management computing device comprising at least one processor in communication with at least one memory device, and the at least one processor programmed to:

• receive charging information of a charging session of an EV at a charger, wherein the charging information includes a desired state of charge (SOC);
• receive an electricity pricing for the charger;
• optimize a charging schedule based on the electricity pricing, wherein the charging schedule includes price periods and corresponding charging power during the price periods, wherein the at least one processor is further programmed to optimize a charging schedule by:
• dividing the charging session into price periods based on the electricity pricing, wherein neighboring price periods have different prices;
• initiating statuses for the price periods as being charged at a maximum charging power;
• and
• processing a price period having the highest price among unprocessed price periods by:
• determining charged energy based on the statuses of the price periods;
• determining charged energy to be reduced based on the determined charged energy and an expected charged energy corresponding to the desired SOC;
• if the price period is not the last price period in the charging session,
• comparing the charged energy to be reduced with a difference between a first charged energy of the price period when being charged at the maximum power and a second charged energy of the price period when being charged at the minimum power;
• and
• if the charged energy to be reduced is greater than the difference,
• setting a charging power of the price period to be at the minimum charging power;
• and
• going back to determining charged energy based on the statuses;
• and
• if the price period is the last price period,
• comparing the charged energy to be reduced with a maximum charged energy of the price period when being charged at the maximum power;
• and
• if the charged energy to be reduced is greater than the maximum charged energy of the price period,
• setting a charging power of the price period to zero;
• and
• going back to determining charged energy based on the statuses;
• and
• output the optimized charging schedule.