IoT Network Management within the Electric Vehicle Battery Management System

Gall, Guillaume Le; Montavont, Nicolas; Papadopoulos, Georgios Z.

doi:10.1007/s11265-021-01670-2

Cited by 9 publications

(4 citation statements)

References 20 publications

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“…Standard lithium-ion batteries should maintain a voltage and temperature consistent with [2.5; 4.2] V and [13] C, correspondingly. Inside the parameters of the cell, there is a range of values that are deemed to be inside the safety window [3].…”

Section: Introductionmentioning

confidence: 99%

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IoT based Breaking Control System for EV Vehicle and Monitoring System

Preethi

2024

IJSREM

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It is imperative that we transition to the use of electric vehicles because these vehicles are the next generation of transportation. Overcharging or over discharging can damage the batteries in electric vehicles, therefore it's important for them to correctly assess the charge status to keep them working for longer and protect the components they power. In this article, we offer an inexpensive, IoT-based system for electric vehicle battery management and monitoring. A user-friendly application that leverages the power of the Internet of Things is at the heart of its design. Important information about the battery's status, such as its capacity and the current entering and leaving it, is provided by the system. You might be able to observe these changes unfold in real time. This system is built using the Blynk Internet of Things platform, the Blynk mobile app, and an ESP32 microcontroller. Keywords— EV Vehicle, Breaking Control System, Monitoring System.

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Section: Introductionmentioning

confidence: 99%

“…An example of such a system is the BMS, or Battery Management System. The BMS can also measure the battery's SoC, or state of charge, according to [3]. The State of Charge (SoC) helps users keep tabs on their batteries as they charge or discharge them, which extends their battery life.…”

Section: Introductionmentioning

confidence: 99%

IoT based Breaking Control System for EV Vehicle and Monitoring System

Preethi

2024

IJSREM

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“…With the enhancement of battery consistency, WBMS is in the early stage of development, which can replace traditional wired connections, lower cost, better performance, and is the future trend 4 . Wireless BMS connects the battery pack, slave chip and master chip through wireless networking, and completes the status monitoring and data transmission of the battery pack through wireless communication 5 . At the same time, the WBMS system also faces many problems and challenges, such as large number of battery pack and transmission nodes, short battery status reporting period, high transmission reliability requirements, and to support various delay constraints for different data types 6 .…”

Section: Introductionmentioning

confidence: 99%

Reliable communication protocol design and simulation for wireless battery management system

Zhang,

Sun

2024

Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024)

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Wireless Battery Management System (WBMS) is a solution that uses wireless communication technology to monitor the battery pack of electric vehicles. Compared to traditional wired battery management systems (BMS), wireless transmission technology can provide a more efficient, flexible and scalable battery management solution. This paper presents a reliable WBMS communication protocol that utilizes a dual-cycle frame structure to support the sampling data transmission of both battery pack voltage and bus current. A WBMS network simulator is developed based on OMNeT++ framework, and the network performance is evaluated with different propagation parameters. The simulation results show that the proposed wireless communication protocol has remarkable performance even in the presence of WiFi and Bluetooth interference.

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“…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. Similarly, other studies focused on accelerating and improving SOC estimation algorithms for BMS, simplifying BMS hardware, balancing battery cells with various methods, remote monitoring of BMS hardware, and creating a hybrid structure [10][11][12][13][14].…”

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

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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.

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IoT Network Management within the Electric Vehicle Battery Management System

Cited by 9 publications

References 20 publications

IoT based Breaking Control System for EV Vehicle and Monitoring System

IoT based Breaking Control System for EV Vehicle and Monitoring System

Reliable communication protocol design and simulation for wireless battery management system

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

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