Online Condition Monitoring of Battery Systems With a Nonlinear Estimator

Performance Analysis of Energy Storage in Smart Microgrid Based on Historical Data of Individual Battery Temperature and Voltage Changes

“…There were several temperature spikes in battery S2#2, as shown in Figure 9 (b) and Figure 11 (b), where even at low voltage changes, the temperature rate of change was above 2.0 °C. These battery temperature conditions could have been caused by failure of the battery or sensor monitoring connection [12].The analytical results indicate that the temperature changes of battery S1#3 were very sensitive to voltage changes because of the discharging process, while the temperature changes of battery S1#4 were very sensitive to voltage changes because of the charging process. From the historical data of the battery cells in the database, battery S1#3 had a voltage rate of change above 3.0 V/min, and the temperature change was very sensitive, even for a low voltage rate of change per minute.…”

“…Monitoring stationary ESS is an important part of maintenance, testing, surveillance, and determination of the state of the ESS [11]. Online monitoring for fault diagnosis can also contribute to better maintenance and an optimal battery replacement program [12]. Monitoring is more important when the location is difficult to access and the efficiency of maintenance personnel needs to be ensured.…”

Design and Implementation of a Smart Lithium-Ion Battery System with Real-Time Fault Diagnosis Capability for Electric Vehicles

“…The LIBs have been used in energy-storage applications in solar panel systems from those that use a few kilowatt-hours in residential systems to multi-megawatt batteries in grid power systems. There are also broad applications in some high-power applications such as electric vehicles using large numbers of serial or parallel battery cells [3][4][5][6][7][8]. However, despite being a promising candidate for energy storage solutions, these batteries are facing some challenges, such as ensuring safe operation of the battery-power system that depends on the accurate state-of-charge (SOC) estimation [9][10][11].…”

Rapid Nondestructive-Testing Technique for In-Line Quality Control of Li-Ion Batteries

“…A single weak cell in a module consisting of hundreds, seriously affects the output power and compromises the performance of the whole module. Furthermore, the failure of battery systems in safety-critical electric systems, such as electric vehicle (EV) drive trains, can lead to performance deterioration, costly replacement, and more importantly serious hazards [1]. For this reason, there is a strong safety and economic case to perform quality control testing on all individual cells before the battery module assembly stage.…”