Wireless Battery Management System Research Articles

Batteries boost the internet of everything: technologies and potential orientations in renewable energy sources, new energy vehicles, energy interconnection and transmission

Rechargeable batteries, which represent advanced energy storage technologies, are interconnected with renewable energy sources, new energy vehicles, energy interconnection and transmission, energy producers and sellers, and virtual electric fields to play a significant part in the Internet of Everything (a concept that refers to the connection of virtually everything in our physical world to the internet). This promotes the transition of energy to green, low-carbon, safe and efficient. In addition, many past studies had conducted extensive review studies for research on batteries in a disintegrated manner. For example, the studies on review of battery materials and battery states estimation are conducted individually. So far, there is no comprehensive and holistic perspective of battery research combining all different aspects such as materials, structure, manufacturing, and monitoring simultaneously. One possible reason is that the researchers from different backgrounds are working in their respective fields which may not be able to leap advantages of collaborative efforts of multidisciplinary fields for promoting true innovation in battery research. Based on this notion, this article illustrates the contribution of batteries in improving the Internet of Everything under the rapidly evolving living habits. This article also outlines an overview on the specific development of batteries in terms of materials, structure, manufacturing process, monitoring, recycling, service, sales, and policy from the stages of battery design, production, operation and maintenance, and recycling. Some important findings are as follows. Batteries are widely used in many scenarios related to our daily lives, such as automotive industry, aerospace industry, industrial equipment, and energy storage systems. The smart sensors, blockchain, cloud platform, and zero-carbon batteries are the four potential development orientations for smart batteries. A wide range of applications will be available for technologies such as wireless battery management system and reconfigurable battery in the future.

Estimation of State of Charge of Battery Used In Electric Vehicles With Wireless Battery Management System

This research paper presents a comprehensive investigation into the development and analysis of a wireless battery management system (BMS) using MATLAB Simulink. The primary objective of this study is to create an efficient, reliable, and scalable BMS that caters to the demands of various applications, such as electric vehicles, grid energy storage, and portable electronics. Our methodology involves designing and simulating key BMS components, including state estimation algorithms, fault detection mechanisms, and communication protocols, within the MATLAB Simulink environment. The paper first elucidates the motivation for adopting wireless technology in BMS, emphasizing its advantages over traditional wired systems. Subsequently, we explore the intricacies of the proposed wireless BMS architecture, detailing the implementation of essential features such as state-of-charge estimation, fault diagnosis, and thermal management. We also address the challenges associated with wireless communication, including latency, security, and energy efficiency, by incorporating robust communication protocols and power management strategies. Through rigorous simulations, we demonstrate the efficacy of the proposed wireless BMS, showcasing its ability to ensure optimal performance, safety, and longevity of battery packs. The outcomes of this research not only contribute to the advancement of BMS technology but also pave the way for further improvements in battery-powered systems. In conclusion, this paper offers a holistic perspective on wireless BMS design, emphasizing its potential to revolutionize energy management and extend the applications of battery technology in various domains.

Design of wireless battery management system monitoring and automated alarm system based on improved long short-term memory neural network.

The battery management system (BMS) can intelligently manage and maintain each battery unit while monitoring its status, thereby preventing any possible overcharge or over-discharge of the battery. In BMS research, battery state parameter collection and analysis are essential. However, traditional data collection methods require personnel to be present at the scene, leading to offline data acquisition. Therefore, this study aimed to develop a wireless BMS monitoring and alarm system based on socket connection that would enable researchers to observe the operating parameters and problem details of the battery pack from a distance. A device like this effectively raises the battery's level of cognitive control. In the study, the researchers first designed the overall scheme of the BMS remote monitoring system, followed by building a wireless BMS monitoring and alarm system. Performance evaluations of the system were then conducted to confirm its effectiveness. A Long Short-Term Memory (LSTM) network enhanced by the Batch Normalization (BN) technique was applied to the time series data of battery parameters to solve the large accuracy inaccuracy in battery state of charge estimate. Furthermore, the Denoise Auto Encoder (DAE) algorithm was utilized to denoise the data and reduce the model's parameter dependence. The accuracy and robustness of the estimation are improved, and the model error is gradually stabilized within 5%.

Energy efficient machine learning based SMART-A-BLE implemented Wireless Battery Management System for both Hybrid Electric Vehicles and Battery Electric Vehicles

Electric vehicles have a larger battery pack with more than 100's cells connected in series or parallel combinations to form many battery modules. A Battery Management system (BMS) continuously monitors Current, Voltage, and Temperature data to trigger control algorithms like cell balancing and thermal management using wired communication which is then sent to the cloud for real-time analytics [1]. Wired communication restricts the flexibility in battery module assembly and makes it difficult for battery swapping. The proposed wireless communication, along with the SMART-A-BLE algorithm for BMS in the electric vehicle, uses Bluetooth Low Energy [2], [3], [4], and [5]. SMART-A-BLE algorithm predicts the best connection interval using the Decision tree model based on the link quality factor captured based on real time latency. The model uses threshold latency, expected retransmission factor, data packet length, and the number of peripherals as input features. A look-up table-based algorithm is also proposed for resource constraint devices to achieve the optimal operating point where the slaves could transmit at both low latency and low current consumption with less congestion. SMART-A-BLE control algorithm outperforms the mathematical model-based algorithm in both ideal and interference conditions within a metallic container by maintaining robust connectivity.

A Survey of Wireless Battery Management System: Topology, Emerging Trends, and Challenges

An effective battery management system (BMS) is indispensable for any lithium-ion battery (LIB) powered systems such as electric vehicles (EVs) and stationary grid-tied energy storage systems. Massive wire harness, scalability issue, physical failure of wiring, and high implementation cost and weight are some of the major issues in conventional wired-BMS. One of the promising solutions researchers have come up with is the wireless BMS (WBMS) architecture. Despite research and development on WBMS getting momentum more than a decade ago, it is still in a preliminary stage. Significant further upgradation is required towards developing an industry-ready WBMS, especially for high-power LIB packs. Therefore, an in-depth survey exclusively on WBMS architectures is presented in this article. The aim is to provide a summary of the existing developments as well as to present an informative guide to the research community for future developments by highlighting the issues, emerging trends, and challenges. In-depth analysis of the existing WBMS topologies will not only help the researchers to understand the existing challenges and future research scopes clearly but at the same time enthuse them to focus their research inclination in the domain of WBMS.

Validation of Wireless Battery Management System (wBMS) – Gen2

Wireless Battery Management System (wBMS) is a primary enabler for the widespread adoption of electric cars, allowing auto Original Equipment Manufacturer (OEMs) to avoid having to rework complicated wiring diagrams for each new car and ensuring battery scalability. This article mainly focuses on the validation of an end-to-end wBMS system by performing several tests like Packet Transfer Ratio (PTR) for different configuration files, developing and implementing a health report application that generates health report in real-time, automating the process of OTA (Over the Air) upgrade which also includes automation of configuring the front-end application using a python programming language. The main intention behind developing the script to automate the OTA upgrade and health report application is to reduce the time consumed to test the system, reduce human errors, and perform the tests for any number of iterations.

Power optimisation of electric coaster

Sustainability is the capacity to endure and ensure that the advanced technology for electric vehicles (EVs) remain diverse and productive over time. The power optimisation of the battery pack has been maintained by enhancing the lifespan of the battery with keeping the battery temperature 35-40°C and cell's state-of-charge (SOC) balance with the variation 2-5%. A ZigBee wireless battery management system (WBMS) has been developed from this study to control the evaporative cooling battery thermal management system for the optimum range of battery temperature both in charging/adverse discharging. The WBMS allows the vehicle to utilise the maximum energy available from the battery for a given drive cycle whilst maintaining pack SOC balance within the range of optimal functionality. The WBMS multistage charge balancing system offering more effective and efficient responses to several numbers of series connected battery cells. The balancing results for two cells and 16 cells are improved by 15.12% and 25.3% respectively.

Wireless Battery Management System of Electric Transport

Electric vehicles (EVs) are being developed and considered as the future transportation to reduce emission of toxic gas, cost and weight. The battery pack is one of the main crucial parts of the electric vehicle. The power optimization of the battery pack has been maintained by developing a two phase evaporative thermal management system which operation has been controlled by using a wireless battery management system. A large number of individual cells in a battery pack have many wire terminations that are liable for safety failure. To reduce the wiring problem, a wireless battery management system based on ZigBee communication protocol and point-to-point wireless topology has been presented. Microcontrollers and wireless modules are employed to process the information from several sensors (voltage, temperature and SOC) and transmit to the display devices respectively. The WBMS multistage charge balancing system offering more effective and efficient responses for several numbers of series connected battery cells. The concept of double tier switched capacitor converter and resonant switched capacitor converter is used for reducing the charge balancing time of the cells. The balancing result for 2 cells and 16 cells are improved by 15.12% and 25.3% respectively. The balancing results are poised to become better when the battery cells are increased.