Y 9 . ET 5 . 3 : Battery Degradation Model for Real - Time Levelized Cost Calculation
نویسندگان
چکیده
1. Project Goals The objective of this task is develop (or adopt from literature) a model that estimates the battery degradation as the function of the DESD use profile. The off-line degradation model supports system cost-benefit studies while the on-line implementation resides on the DESD ARM board (BeagleBoneBlack), and supports the IEM application. The on-line model will be implemented on the newly-developed AC DESD platform, which uses the new Lithium Titanate (Li4Ti5O12 or LTO) batteries. The on-line battery degradation model will expand the capabilities of the standardized DESD communication and control platform developed in past years, which already contains safety (voltage, current and temperature monitoring) and battery management functionalities. Therefore, the main goals of the project are (1) redesign the FREEDM AC DESD unit to use SCiB batteries and associated battery management and protection features, and (2) develop and implement an on-line battery degradation model that determines the instantaneous cost of use of the DESD.
منابع مشابه
Levelized Cost of Energy for PV and Grid Scale Energy Storage Systems
With the increasing penetration of renewable energy sources and energy storage devices in the power system, it is important to evaluate the cost of the system by using Levelized Cost of Energy (LCOE). In this paper a new metric, Levelized Cost of Delivery (LCOD) is proposed to calculate the LCOE for the energy storage. The recent definitions in LCOE for renewable energy system has been reviewed...
متن کاملDevelopment of Lifetime Prediction Model of Lithium-Ion Battery Based on Minimizing Prediction Errors of Cycling and Operational Time Degradation Using Genetic Algorithm
Accurate lifetime prediction of lithium-ion batteries is a great challenge for the researchers and engineers involved in battery applications in electric vehicles and satellites. In this study, a semi-empirical model is introduced to predict the capacity loss of lithium-ion batteries as a function of charge and discharge cycles, operational time, and temperature. The model parameters are obtai...
متن کاملReal Time Pseudo-Range Correction Predicting by a Hybrid GASVM model in order to Improve RTDGPS Accuracy
Differential base station sometimes is not capable of sending correction information for minutes, due to radio interference or loss of signals. To overcome the degradation caused by the loss of Differential Global Positioning System (DGPS) Pseudo-Range Correction (PRC), predictions of PRC is possible. In this paper, the Support Vector Machine (SVM) and Genetic Algorithms (GAs) will be incorpor...
متن کاملTechno-economic Optimization of a Stand-alone Photovoltaic-battery Renewable Energy System for Low Load Factor Situation- a Comparison between Optimization Algorithms
For remote places having less-strong wind, single resources based renewable energy system (RES) with battery storage can sustainably and economically generate electrical energy. There is hardly any literature on optimal sizing of such RES for very low load demand situation. The objective of this study is to techno-economically optimize the system design of a Photovoltaic (PV)-battery storage RE...
متن کاملSupply Characterization of Hydro-geothermal Resources in the Western U.s
Efforts to characterize geothermal supply have long been focused on the aspect of power generation [Petty, et al., 1992], [Petty, et al., 2007], and [Augustine, et al., 2010]. This paper focuses on an approach to characterize the supply curve of hydrogeothermal energy that can be used for direct use in the United States. It aims to compensate for the absence of research on thermal uses and prov...
متن کامل