Abstract: A Non-Linear Voltammetry (NLV)-based method for charging batteries. It also relates to a fast charging system implementing this method. Adaptive charging, Non-Linear Voltage changing, and Relaxation are the key cornerstones of this method. Adaptive charging allows the system to balance the charging based on the user's time requirements, required charge capacity and the SOC and SOH of the battery. Non-linearly changing the voltage coupled with a suitable relaxation pattern allows this method to gain the maximum charge capacity without straining the battery.

Abstract: A Non-Linear Voltammetry (NLV)-based method for charging batteries. It also relates to a fast charging system implementing this method. Adaptive charging, Non-Linear Voltage changing, and Relaxation are the key cornerstones of this method. Adaptive charging allows the system to balance the charging based on the user's time requirements, required charge capacity and the SOC and SOFT of the battery. Non-linearly changing the voltage coupled with a suitable relaxation pattern allows this method to gain the maximum charge capacity without straining the battery.

Abstract: An adaptive charging protocol (ACP) implemented for fast-charging a rechargeable battery having electrode terminals connected to terminals of a power supply provided to apply time-varying voltages to the electrodes, comprising, before starting a charging operation for the battery, the steps of: detecting the existence of historical data on previous charging operations for the battery; in case of detection, processing the historical data to adjust charging parameters in view of optimizing the charging operation; in absence of detection, electrically testing the battery to get data on variations of the state of charge (SOC) for the battery, in view of building a learning model on the SOC variations to be used for optimizing the charging operation.

Abstract: An adaptive charging protocol (ACP) implemented for fast-charging a rechargeable battery having electrode terminals connected to terminals of a power supply provided to apply time-varying voltages to the electrodes, comprising, before starting a charging operation for the battery, the steps of: detecting the existence of historical data on previous charging operations for the battery, in case of detection, processing the historical data to adjust charging parameters in view of optimizing the charging operation; in absence of detection, electrically testing the battery to get data on variations of the state of charge (SOC) for the battery, in view of building a learning model on the SOC variations to be used for optimizing the charging operation.

Abstract: A Non-Linear Voltammetry (NLV)-based method for charging batteries. It also relates to a fast charging system implementing this method. Adaptive charging, Non-Linear Voltage changing, and Relaxation are the key cornerstones of this method. Adaptive charging allows the system to balance the charging based on the user's time requirements, required charge capacity and the SOC and SOFT of the battery. Non-linearly changing the voltage coupled with a suitable relaxation pattern allows this method to gain the maximum charge capacity without straining the battery.