FPGA Based SoC Estimator and Constant Current Charging/Discharging Controller for Lead–Acid Battery

Dinesh, P.; Teja, K. Kumar; Singh, Shobhana; Selvan, M. P.; Moorthi, S.

doi:10.1109/indicon45594.2018.8987133

Cited by 3 publications

(4 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The EKF also incorporates the dependency of open circuit voltage of battery on its SoC as described in [8] along with the internal battery dynamics for the estimation of SoC. The battery modelling and SoC estimation algorithm have been adopted from [36] and the references therein…”

Section: Modelling Of Ev Chargingmentioning

confidence: 99%

SoC false[n + 1 false] = SoC false[n false] + i false[n false] \times η \times \frac{normalΔ n}{Q}

where

i false[n false] < 0 false\Rightarrow

discharging current,

i false[n false] > 0 false\Rightarrow

charging current,

normalΔ n false\Rightarrow

sampling interval.…”

Section: Mathematical Modellingmentioning

confidence: 99%

See 1 more Smart Citation

Agent‐based system to control the air‐conditioner and EV charging for residents in smart cities

2019

Self Cite

View full text Add to dashboard Cite

Air-conditioner (AC) accounts for a significant share of residential energy consumption. Considering the widespread rise in electric vehicle (EV) usage, its charging would also contribute a considerable percentage of consumer's total energy consumption. Consequently, the concurrent operation of AC and EV charging would result in peaky load curves. Hence, this study proposes a system of agents for AC and EV charging applications, which incorporates load-management strategies to flatten the load curve. Thereby, the presented system includes two agents, namely: a smart load node for a thermostatically controlled load (SLN-TCL) and a smart battery charge controller. Subsequently, a subagent, namely micro-node, has been introduced to support SLN-TCL and to implement the concept of distributed temperature sensing (DTS). The implementation of DTS subdues the conventional temperature sensing mechanism of AC and ensures a more flexible operation. This study includes the design, development, and features of agents and subagents for AC and EV applications. Furthermore, this study also demonstrates the agent-based control actions for peak-shaving under real conditions to showcase the performance of this system.

show abstract

Section: Modelling Of Ev Chargingmentioning

confidence: 99%

SoC false[n + 1 false] = SoC false[n false] + i false[n false] \times η \times \frac{normalΔ n}{Q}

where

i false[n false] < 0 false\Rightarrow

discharging current,

i false[n false] > 0 false\Rightarrow

charging current,

normalΔ n false\Rightarrow

sampling interval.…”

Section: Mathematical Modellingmentioning

confidence: 99%

Agent‐based system to control the air‐conditioner and EV charging for residents in smart cities

2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…Information such as the battery's open circuit voltage and discharge current is used for the estimation process. Providing an accurate SOC estimation prevents the battery from being overcharged or over-discharged, increasing the lifetime of the battery pack [5][6][7]. At the same time, it is one of the critical parameters that help to keep the battery within appropriate limits and provides safe use.…”

Section: Introductionmentioning

confidence: 99%

“…In general, various methods have been mentioned in the modeling of BMS, from the creation of the battery group to the modeling of SOC and SOH estimation with artificial intelligence methods. Dinesh and Teja [5] presented a SOC estimation method, including an improved Kalman filter for renewable energy systems using lead-acid batteries, battery testing systems, and smart residential energy systems. Kassim and Jamil [10] presented a study on SOC and SOH estimation methods and their applications and mentioned the advantages of SOC methods over each other.…”

Section: Introductionmentioning

confidence: 99%

FPGA-Based battery management system for real-time monitoring and instantaneous SOC prediction

Saday

Özkan

Sarıtaş

2023

International Journal of Applied Mathematics Electronics and Computers

View full text Add to dashboard Cite

Battery management systems (BMS) are becoming essential for all types of electric vehicles using battery packs. Various factors, such as battery temperature and balance, directly affect the life, safety, and efficiency of batteries used in vehicles. For security and robustness, these factors should be monitored and adjusted instantly. Today, battery management systems are constantly being developed using different production methods and algorithms. In the studies, calculations are made by measuring parameters such as temperature, current, current balance, load status, and health status of the battery cells, and the control of the battery group is provided with these calculations. Instant and continuous measurement and processing of all these data and the creation of a control algorithm according to the calculation result are possible with the use of powerful processors. FPGA is a processor that can provide the speed and functionality required for BMS. In the battery management system, the FPGA is responsible for receiving and processing all signals from the battery cells and producing results. It instantly processes the data from temperature, current, and voltage sensors and applies the control stage required for balancing. In addition, the charge and discharge capacity of the battery is calculated by instantly measuring the state of charge (SOC). SOC is of great importance in the battery management system to ensure the safety of the battery pack. Therefore, the SOC needs to be estimated accurately and in real-time. Thanks to its parallel processing capability, the FPGA can simultaneously read data from the sensors and perform related calculations. In this study, a versatile system design with real-time, high computational speed for BMS was carried out on FPGA. The voltage and current of an experimental battery based on the embedded system were monitored in real time in a simulation environment. Experimental results show that the instantaneous SOC estimation is successful, and the system returns instant results to the incoming sensor data. The use of FPGA as a management unit will provide significant advantages in BMS with its high operating speed, real-time monitoring, low power consumption, and re-programmability.

show abstract

The Impact of Modern Battery Cell Technologies on Spacecraft DNEL Functionality

Strous,

Fernandez

2023

2023 13th European Space Power Conference (ESPC)

View full text Add to dashboard Cite

FPGA Based SoC Estimator and Constant Current Charging/Discharging Controller for Lead–Acid Battery

Cited by 3 publications

References 24 publications

Agent‐based system to control the air‐conditioner and EV charging for residents in smart cities

Agent‐based system to control the air‐conditioner and EV charging for residents in smart cities

FPGA-Based battery management system for real-time monitoring and instantaneous SOC prediction

The Impact of Modern Battery Cell Technologies on Spacecraft DNEL Functionality

Contact Info

Product

Resources

About