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As implantable devices become more sophisticated and their extended functionalities impact their energy requirements, they not only rely on charging for the extra energy but also become ever more sensitive to battery deep discharge or overcharge. Accurate state-of-charge (SOC) estimation plays a fundamental role in ensuring the operation safety of implantable medical devices. Temperature variation...
Recursive least square (RLS) with a single forgetting factor has been commonly used for parameter and state estimation of dynamical systems. In many applications such as robotics, electric vehicles, renewable energy systems, and smart-grid, accurate battery state of charge (SOC) and state of health (SOH) estimation is essential for the safe and efficient operation. To this end, the challenge lies...
In this paper, we propose a cross-referring approach using a dual adaptive filter to estimate the state-of-charge (SOC), full charge capacity (FCC), and resistance of a battery in a real-time manner. Although conventional SOC estimation methods such as the Coulomb counting and the open-circuit voltage (OCV) estimation are commonly used for battery systems, accuracy of their SOC estimates are deteriorated...
In order to estimate the state of health (SOH) of single cell in the electric vehicle power battery pack, this paper researched on t he properties of battery's polarization resistance and ohmic resistance, and then a relative state of health evaluation method which is based on the ohmic resistance was proposed. This method can avoid absolute interference on the battery performance from external such...
This paper proposed a co-estimation scheme of State of Charge (SOC), State of Health (SOH), and State of Function (SOF) for lithium-ion batteries. The Extended Kalman Filter is adopted to SOC estimation. Battery parameters are identified online by using Recursive Least Square Algorithm to further estimate battery SOH and SOF. The accuracy of the estimation is improved and the computation is reduced...
To avoid battery failure and keep the battery lifetime, a system needs control its use by considering two of several parameters of Battery Management System (BMS) such as State of Charge (SOH) and State of Health (SOH). The State of Charge in Battery Management System provides the percentage of battery capacity, while the State Of Health measures the battery health. The Thevenin battery model is used...
Battery state of charge (SOC) has to be estimated properly in order to build a good battery management system (BMS) for electric vehicles. A Lithium battery dynamics has nonlinearity element and time varying parameter values. The speed of parameter change is different to each parameter. This paper proposes a new method of SOC estimation based on recursive least square (RLS) algorithm with multiple...
An accurate estimation method of State of Health (SOH) for lithium battery is presented in this paper. The battery model is improved based on equivalent circuit model and battery internal electrochemical characteristics. In our study, Double Unscented Kalman Filtering (D-UKF) algorithm is designed to calculate State of Charge (SOC) and SOH at the same time. The main feature is the battery SOH estimation...
For a battery powered safety critical system the safe duration of power for executing a specific task is extremely important. It is necessary to avoid unacceptable consequences due to unwanted battery power failure. An early stage estimation of this duration reduces the overall risk through optimization of current consumption by switching off noncritical load ahead of delivery of power to a critical...
The battery is one of the most important energy storage components in EV/HEV. Failing to estimate the state of the charge accurately will bring the risk of overcharge or over discharge. The traditional Coulomb counting method will bring accumulated error over time, therefore high deviation occurs between the estimated and real state of charge. Different estimation strategies are compared in this paper,...
As a vital part of the battery employed systems, battery management system (BMS) must correctly estimate values descriptive of the battery's present operating condition. Without a doubt, state of charge (SOC) is a key battery state for BMS to estimate. This paper carefully analyzes the operating performance of VRLA battery through a large number of experimental tests; a statistical parameter identification...
State of charge (SOC) estimation of NiMH battery is a key technology in electric vehicle/hybrid electric vehicle (EV/HEV). In this study, a relationship between SOC and electromotive force (EMF) is obtained based on the study of discharge experiments at different SOC. In addition, equivalent circuit model is used to estimate the SOC of NiMH battery. The analysis of experiment data shows a relation...
On the basis of the pulse charge and discharge characters of the nickel-metal hydrogen battery (Ni/MH) used for hybrid electric vehicle (HEV), a real-time and dynamic SOC estimated strategy of Ni/MH battery is presented in this paper. The initial SOC of the battery is determined by the historical factors and the current status together and the internal resistance of the battery is taken into account...
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