This paper develops an adaptive partial differential equation (PDE) observer for battery state-of-charge (SOC) and state-of-health (SOH) estimation. Real-time state and parameter information enables operation near physical limits without compromising durability, thereby unlocking the full potential of battery energy storage. SOC/SOH estimation is technically challenging because battery dynamics...

This paper develops an adaptive PDE observer for battery state-of-charge (SOC) and state-of-health (SOH) estimation. Real-time state and parameter information enables operation near physical limits without compromising durability, thereby unlocking the full potential of battery energy storage. SOC/SOH estimation is technically challenging because battery dynamics are governed by electrochemical...

This paper discusses the effectiveness of BESS energy management method. Such BESS-based renewable energy systems require a suitable control strategy that can effectively regulate power output levels and battery state of charge (SOC) within a specified range. The control method can supervise the SOC to secure the charging level of the BESS by adjusting the target power for high and low SOC rang...

Novel high speed nanoindentation data is reported for 0% and 100% state of charge (SoC) for the spinal Li x Mn2O4 material. The article also includes the load/displacement data for different SoC highlighting the displacement bursts corresponding to the pillar splitting for fracture toughness evaluation. For more details, please see the article; Mughal et al. (2016) [1].

This short paper presents a recently reported dynamic data-driven method, Symbolic Dynamic Filtering (SDF), for real-time estimation of the state-of-health (SOH) and state-of-charge (SOC) in lead-acid batteries, as an alternative to model-based analysis techniques. In particular, SOC estimation relies on a k-NN regression algorithm while SOH estimation is obtained from the divergence between ex...

Batteries are a popular and important item that utilized as energy sources in variety of applications. The rise electric vehicles the twenty-first century has increased its importance. A battery's state charge (SoC) is critical information. It vital to estimate SoC with reasonable degree precision. During discharge cycles, lithium-ion batteries change their internal state. level battery changes...

This paper focuses on real-time estimation of Li-ion State of Charge (SoC). A first-principles model validated by experimental data from literature is chosen to mimic a real Li-ion cell. Its impedance responses at different SoCs are studied by a simulated electrochemical impedance spectroscopy (EIS). An equivalent circuit model is developed for estimator design in which the parameters (includin...

In this paper the local model network (LMN) based dynamic battery cell model identification is presented. Such a model describes the nonlinear dynamic behaviour of the cell terminal voltage in dependance of the charge/discharge current and can be used for the state of charge (SoC) estimation in hybrid electrical vehicles. For that purpose, the model must be accurate at high C-rates in combinati...

This paper presents a method to determine the internal resistance of a bank of deep-cycle lead acid batteries that are part of a stand-alone photo-voltaic system. Both the charge and discharge resistances are calculated as a function of the state-of-charge (SOC) of the battery from daily variations in battery terminal voltage as well as charge and discharge currents. The method is illustrated b...

Battery state of charge (SOC), health (SOH), and power (SOP) are decisive factors that influence the energy-management system (EMS) performance electric vehicles. However, accurate estimation SOC, SOH, SOP remains a challenge due to high nonlinearity battery dynamic characteristics strong coupling among states. In this paper, different methods single-state two-state joint classified discussed, ...