An apparatus for correcting a state of charge (SOC) of a low-voltage battery inside a vehicle and a method for the same are provided. The apparatus includes a storage storing a table having an SOC value corresponding to a charging voltage and a charging time of the low-voltage battery inside the vehicle, a voltage sensor to measure the charging voltage of the low-voltage battery, and a controller to measure the charging time of the low-voltage battery, determine, from the table, the SOC value corresponding to the measured charging time and the measured charging voltage, and correct the SOC value of the low-voltage battery, based on the determined SOC value.

A smart battery includes a battery and a measurement module coupled to measure electrical characteristics of the battery. The smart battery also includes processing logic and a communication interface configured to receive the electrical characteristics and transmit the electrical characteristics to a receiver.

A vehicle includes a system that performs a method of calculating a capacity of a battery of the vehicle. The system includes a processor configured to operate the vehicle to deplete the battery to reach a target low state of charge, measure a resting low state of charge after allowing the battery to rest for a first rest period after the battery reaches the target low state of charge, operate the vehicle to charge the battery to reach a target high state of charge, measure a resting high state of charge after allowing the batter to rest for a second rest period after the battery reaches the target high state of charge, and calculate the capacity of the battery from the resting low state of charge and the resting high state of charge.

An energy storage system can comprise a stack of multiple battery modules, a plurality of ultrasound emitter transducers, a plurality of ultrasound receiving transducers, one or more excitation modules, one or more capture modules, and an ultrasound battery management system. Each ultrasound emitter transducer and each ultrasound receiving transducer can be acoustically coupled to a surface of a respective one of the battery modules. The excitation module(s) can be electrically interfaced with the plurality of ultrasound emitter transducers, and the capture module(s) can be electrically interface with the plurality of ultrasound receiving transducers. The ultrasound battery management system controller can be configured to initiate battery module ultrasound interrogation sequences.

A control method of a multi-battery pack system is provided. The method includes: determining a first reference battery pack based on a charging-discharging state of the multi-battery pack system and battery voltages of enabled battery packs; determining a second reference battery pack based on the charging-discharging state of the multi-battery pack system and battery voltages of non-enabled battery packs; determining a to-be-turned off battery pack and a to-be-turned on battery pack based on a battery voltage of the first reference battery pack and a battery voltage of the second reference battery pack; and controlling to turn off the to-be-turned off battery pack and turn on the to-be-turned on battery pack.

A battery control apparatuses may include a measuring unit for measuring a voltage of a battery, a memory for storing a multi-stage charging protocol data, and a processor for identifying a SOC of the battery based on the voltage measurement value. The processor may perform a temporary discharging procedure, when the SOC of the battery reaches the first criterion SOC while the constant current charging procedure using the first current rate is in progress. The processor may also determine an adjusted second current rate different from the second current rate based on discharging information of the temporary discharging procedure and, after the temporary discharging procedure is finished, perform a constant current charging procedure using the adjusted second current rate.

A self-flying hands-free shaving apparatus includes: a drone configured to autonomously fly and hover in air; video cameras that capture live video of the surroundings; and a processor that performs real-time computer vision analysis of live video, to guide the apparatus at which directions to fly and where to remain hovering. A telescopic arm extends from the hovering apparatus, and pivots or rotates to bring an affixed electric shaver towards a face-region of a human, for shaving it. Tactile sensors detect touch, and assist in confirming to the processor that shaving is indeed performed. Data sensed by LIDAR sensors and thermal imagers assists the processor in commanding the apparatus and its telescopic arm, and augments the data obtained by computer vision analysis of the live video from the video cameras.

A V2V charging system including an on-board system that includes a battery; a detection unit configured to detect a position of the EV, a battery condition of the battery and a destination of a current trip of the EV, wherein the battery condition includes an amount of remaining energy, a number of charge and discharge cycles, and current battery capacity; a communication unit configured to send a charge request to a server and receive one or more candidate charging solutions corresponding to the charge request from the server, the communication unit being further configured to send a selected charging solution that is selected by a user from the one or more candidate charging solutions to the server and receive a standstill charging location from the server; and a human-machine interface (HMI). The HMI includes a navigation module, an energy condition module, a charge request module, and a charging solution module.

Methods and systems are provided for optimizing energy management of an energy resource site. For instance, a hierarchical energy management system can provide optimized management of energy resource sites with large numbers of energy resources. In particular, the hierarchical energy management system can effectively control energy resources by allocating functionality using different tiers. For instance, one or more energy resources devices can comprise the lowest tier of the hierarchical energy management system. The next tier of the hierarchical energy management system can comprise one or more controllers that can manage the energy resource devices. The next tier of the hierarchical energy management system, a resource manager, generally manages the set of controllers.

A microgrid controller may measure a group state-of-charge (SOC) of a group of energy storage systems (ESSs), calculate a total real power demanded by a plurality of loads, determine an available real power for a group of renewable-energy-based (REB) energy resource systems, determine whether the available real power is greater than a sum of the total real power and an ESS parasitic consumption of the group of ESSs, and, based on the available real power being greater than the sum, generate first control signals for turning off a group of fuel-based (FB) energy resource systems or for maintaining the group of FB energy resource systems in an off-state, or, based on the available real power being less than or equal to the sum, generate second control signals for turning on the group of FB energy resource systems or for maintaining the group of FB energy resource systems in an on-state.