Topic
State of charge
About: State of charge is a research topic. Over the lifetime, 12013 publications have been published within this topic receiving 201419 citations. The topic is also known as: SoC & SOC.
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TL;DR: In this paper, an intelligent state of charge (SOC) and state of health (SOH) estimation method for lithium-ion batteries using an input time-delayed neural network is presented.
106 citations
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19 Nov 2003
TL;DR: In this article, a system and method for determining and balancing state of charge among series of connected electrical energy storage units is provided, where the state of change of a selected storage unit in a string of storage units are determined by applying a non-dissipative load to the selected storage units, resulting in an energy transfer between the selected unit and the string of electrical energy units through the non-dispative load and determining the state-of-charge of the selected device from voltage and current data of the stored unit resulting from the energy transfer.
Abstract: A system and method for determining and balancing state of charge among plural series connected electrical energy storage units is provided. State of change of a selected storage unit in a string of storage units is determined by (i) applying a non-dissipative load to the selected storage unit, resulting in an energy transfer between the selected storage unit and the string of electrical energy storage units through the non-dissipative load and (ii) determining the state of charge of the selected unit from voltage and current data of the selected storage unit resulting from the energy transfer. When the state of charge of the selected unit is different than a target state of charge, energy can be transferred energy between the selected unit and the string of storage units, such that the state of charge of the selected unit converges toward the target state of charge.
105 citations
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TL;DR: A dynamic strategy to manage the energy in the hybrid electric vehicle is introduced that uses a fuzzy logic controller and considers the slow dynamics in the FCS, the vehicle speed, and the state of charge in the supercapacitors.
Abstract: The aim of this paper is to present the practical control structure (PCS) and energy management strategy of a testbed hybrid electric vehicle (HEV). This vehicle is equipped with batteries, a supercapacitor system, and a fuel cell system (FCS). The PCS, based on the energetic macroscopic representation methodology, is used to evaluate and compare the different energy management strategies to be implemented in the vehicle. This paper introduces a dynamic strategy to manage the energy in the hybrid electric vehicle; this strategy uses a fuzzy logic controller and considers the slow dynamics in the FCS, the vehicle speed, and the state of charge in the supercapacitors.
105 citations
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TL;DR: In this paper, the KalmanAh estimation method was used to correct the initial value used in the Ah counting method, which is not a satisfactory method for the estimation of the state of charge (SOC) of a battery.
105 citations
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TL;DR: In this paper, a simple algorithm to determine the battery system's impedance and state of charge (SOC) is presented, including parameter and state-estimation techniques, making the impedance and SOC determination possible for a large number of particular cells in a battery system.
Abstract: Lithium-ion (Li-ion) batteries are nowadays the best tradeoff between performance, cost, and lifetime to store electric power and energy effectively. The reliable determination of the batteries' instantaneous power capability and energy content is mandatory for many mobile high-energy and power-consuming applications. Herein, the battery impedance and state of charge (SOC) are the relevant values. In energy storage systems, these values are to be considered for each battery cell individually, due to arising limitations caused by cell-specific variations. Simple algorithms to determine the battery system's impedance and SOC are presented including parameter and state-estimation techniques. Furthermore, methods are derived making the impedance and SOC determination possible for a large number of particular cells in a battery system. The applicability of the demonstrated algorithms for battery control unit implementation is proved incorporating data achieved from load scenarios applied to a cell stack Li-ion battery module. Cell impedance and SOC variations could be detected precisely. Moreover, a combination of impedance and SOC spread was identified during typical battery operation.
105 citations