Implementation of the Li-Ion Battery Management System Based on DS2438

In order to ensure good performance and extend the lifetime of li-ion batteries in electric cars, effective real-time monitoring and management must be valued. This paper designs an electric vehicle battery management system based on a smart battery monitoring chip, DS2438. It integrates the measurement of battery's temperature, voltage, current, and power as a whole, which not only simplifies the circuit, but also saves system cost. The battery’s SOC (State Of Charge) can be easily estimated and displayed in this design. It improves the reliability of power battery pack and prolonged its life, which can be used as reference to battery management system design and application.

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Estimation of State of Charge (SoC) Using Modified Coulomb Counting Method With Open Circuit Compensation For Battery Management System (BMS)

JAREE (Journal on Advanced Research in Electrical Engineering) ◽

10.12962/jaree.v5i1.150 ◽

2021 ◽

Vol 5 (1) ◽

Author(s):

Puspita Ningrum ◽

Novie Ayub Windarko ◽

Suhariningsih Suhariningsih

Keyword(s):

Management System ◽

Voltage Divider ◽

Open Circuit ◽

Voltage Sensor ◽

State Of Charge ◽

Battery Management System ◽

Battery Management ◽

Li Ion Battery ◽

Control Center ◽

Li Ion

Abstract— Battery is one of the important components in the development of renewable energy technology. This paper presents a method for estimating the State of Charge (SoC) for a 4Ah Li-ion battery. State of Charge (SoC) is the status of the capacity in the battery in the form of a percentage which makes it easier to monitor the battery during use. Coulomb calculations are widely used, but this method still contains errors during integration. In this paper, SoC measurement using Open Circuit Voltage Compensation is used for the determination of the initial SoC, so that the initial SoC reading is more precise, because if the initial SoC reading only uses a voltage sensor, the initial SoC reading is less precise which affects the next n second SoC reading. In this paper, we present a battery management system design or commonly known as BMS (Battery Management System) which focuses on the monitoring function. BMS uses a voltage sensor in the form of a voltage divider circuit and an ACS 712 current sensor to send information about the battery condition to the microcontroller as the control center. Besides, BMS is equipped with a protection relay to protect the battery. The estimation results of the 12volt 4Ah Li-ion battery SoC with the actual reading show an error of less than 1%.Keywords—Battery Management System, Modified Coulomb Counting, State of Charge.

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Estimation of model parameters and state-of-charge for battery management system of Li-ion battery in EVs

2017 IEEE Transportation Electrification Conference (ITEC-India) ◽

10.1109/itec-india.2017.8333889 ◽

2017 ◽

Cited By ~ 2

Author(s):

Venu Sangwan ◽

Rajesh Kumar ◽

Akshay K. Rathore

Keyword(s):

Management System ◽

State Of Charge ◽

Model Parameters ◽

Battery Management System ◽

Battery Management ◽

Li Ion Battery ◽

Li Ion ◽

Estimation Of Model Parameters

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DESIGN OF BATTERY MANAGEMENT SYSTEM FOR ELECTRIC VEHICLE BATTERY-BASED HYBRID METAL-ORGANIC (SOL-GEL) LITHIUM MANGANATE (LiMn2O4)

Jurnal Teknologi Bahan dan Barang Teknik ◽

10.37209/jtbbt.v6i1.65 ◽

2016 ◽

Vol 6 (1) ◽

pp. 19

Author(s):

Wisnu Ananda ◽

Mehammed Nomeri

Keyword(s):

Electric Vehicle ◽

Management System ◽

Sol Gel ◽

Lithium Ion ◽

Support Vector ◽

Battery Management System ◽

Battery Management ◽

Electric Cars ◽

Electric Vehicle Battery ◽

Li Ion

Battery-powered Electric Vehicles (BEVs) such as electric cars, use the battery as the main power source to drive the motor, in addition to lighting, horn, and other functions. Currently, Balai Besar Bahan dan Barang Teknik (B4T) has been conducting research in Lithium-ion (Li-ion) battery prototype for an electric vehicle. However, the management system in accordance with the electrical characteristics of the battery prototype is still not available. Thus, to integrate the battery prototype with electrical components of the electric vehicle, it is necessary to design Battery Management System (BMS). Two important battery parameters observed are State of Charge (SOC) and State of Health (SOH). The method used for SOC was Coulomb Counting. SOH was determined using a combination between Support Vector Machine (SVM) and Relevance Vector Machine (RVM). Based on the experiments by using BMS, the battery performance could be more controlled and produces a linear curve of SOC and SOH.Keywords: Battery, electric vehicle, Battery Management System (BMS), Lithium-ion (Li-ion).

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Towards a Smarter Battery Management System for Electric Vehicle Applications: A Critical Review of Lithium-Ion Battery State of Charge Estimation

Energies ◽

10.3390/en12030446 ◽

2019 ◽

Vol 12 (3) ◽

pp. 446 ◽

Cited By ~ 45

Author(s):

Muhammad Umair Ali ◽

Amad Zafar ◽

Sarvar Hussain Nengroo ◽

Sadam Hussain ◽

Muhammad Junaid Alvi ◽

...

Keyword(s):

Electric Vehicle ◽

Management System ◽

Lithium Ion ◽

State Of Charge ◽

Estimation Methods ◽

Battery Management System ◽

Battery Management ◽

Li Ion Battery ◽

Soc Estimation ◽

Li Ion

Energy storage system (ESS) technology is still the logjam for the electric vehicle (EV) industry. Lithium-ion (Li-ion) batteries have attracted considerable attention in the EV industry owing to their high energy density, lifespan, nominal voltage, power density, and cost. In EVs, a smart battery management system (BMS) is one of the essential components; it not only measures the states of battery accurately, but also ensures safe operation and prolongs the battery life. The accurate estimation of the state of charge (SOC) of a Li-ion battery is a very challenging task because the Li-ion battery is a highly time variant, non-linear, and complex electrochemical system. This paper explains the workings of a Li-ion battery, provides the main features of a smart BMS, and comprehensively reviews its SOC estimation methods. These SOC estimation methods have been classified into four main categories depending on their nature. A critical explanation, including their merits, limitations, and their estimation errors from other studies, is provided. Some recommendations depending on the development of technology are suggested to improve the online estimation.

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An Investigation of Temperature Measurement Granularity Towards Improving Li-Ion Battery Management System Design

Volume 6: Energy ◽

10.1115/imece2019-11874 ◽

2019 ◽

Author(s):

Mehrdad Zandigohar ◽

Nima Lotfi

Keyword(s):

System Design ◽

Management System ◽

Operating Conditions ◽

Battery Pack ◽

Battery Management System ◽

Battery Management ◽

Li Ion Batteries ◽

Li Ion Battery ◽

Fault Detection And Identification ◽

Li Ion

Abstract Li-ion batteries have gained increased popularity in the past few decades as the main source in various mobile and stationary energy storage applications. Battery management system design, especially fault diagnosis, however, is still a challenge regarding Li-ion batteries. Traditional Li-ion BMSs rely on measurements from current, voltage, and temperature sensors sparsely located throughout the battery pack. Such a BMS is not capable of predicting battery behavior under various operating conditions; moreover, it cannot account for internal discrepancies among battery cells, incipient faults, the distributed nature of battery parameters and states, and the propagation effects inside a battery pack. Although majority of these effects have already been observed and reported, they are either studied in electrochemistry laboratories using in-situ techniques and detailed theoretical analysis or in practical manufacturing settings by engineers and technicians, which are typically considered proprietary information. The aim of this paper is to bridge the gap between these two domains. In other words, a detailed electrochemical/thermal simulation of a Li-ion battery cell under healthy and faulty conditions is performed to provide a better understanding of the exact spatial requirements for an efficient and reliable thermal management system for Li-ion batteries. The results of this study are specifically of great importance for battery fault detection and identification, mainly due to the recent advancements in distributed sensing technologies such as fiber optics.

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Designing of Lithium - Ion Battery Pack Rechargeable on a Hybrid System with Battery Management System (BMS) for DC Loads of Low Power Applications – A Prototype Model

Journal of Physics Conference Series ◽

10.1088/1742-6596/2089/1/012017 ◽

2021 ◽

Vol 2089 (1) ◽

pp. 012017

Author(s):

Ramu Bhukya ◽

Praveen Kumar Nalli ◽

Kalyan Sagar Kadali ◽

Mahendra Chand Bade

Keyword(s):

Lithium Ion Battery ◽

Management System ◽

Short Circuit ◽

Lithium Ion ◽

Battery Pack ◽

Prototype Model ◽

Battery Management System ◽

Battery Management ◽

Li Ion Batteries ◽

Li Ion

Abstract Now a days, Li-ion batteries are quite possibly the most exceptional battery-powered batteries; these are drawing in much consideration from recent many years. M Whittingham first proposed lithium-ion battery technology in the 1970s, using titanium sulphide for the cathode and lithium metal for the anode. Li-ion batteries are the force to be reckoned with for the advanced electronic upset in this cutting-edge versatile society, solely utilized in cell phones and PC computers. A battery is a Pack of cells organized in an arrangement/equal association so the voltage can be raised to the craving levels. Lithium-ion batteries, which are completely utilised in portable gadgets & electric vehicles, are the driving force behind the digital technological revolution in today’s mobile societies. In order to protect and maintain voltage and current of the battery with in safe limit Battery Management System (BMS) should be used. BMS provides thermal management to the battery, safeguarding it against over and under temperature and also during short circuit conditions. The battery pack is designed with series and parallel connected cells of 3.7v to produce 12v. The charging and releasing levels of the battery pack is indicated by interfacing the Arduino microcontroller. The entire equipment is placed in a fiber glass case (looks like aquarium) in order to protect the battery from external hazards to design an efficient Lithium-ion battery by using Battery Management System (BMS). We give the supply to the battery from solar panel and in the absence of this, from a regular AC supply.

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