scholarly journals A study on optimizing the characteristics of lithium-ion battery power source and operating cost for hybrid motorcycle

2021 ◽  
Vol 3 (SI2) ◽  
pp. first
Author(s):  
Trang Nguyen Van ◽  
Tan Nguyen Duy ◽  
Anh Tuấn Phạm
Keyword(s):  
Operating Cost ◽  
Lithium Ion ◽  
Battery Pack ◽  
Maximum Speed ◽  
Battery Management System ◽  
Li Ion Battery ◽  
Lead Acid Battery ◽  
Full Load ◽  
Li Ion ◽  
Lead Acid

This study presents a research related to a Plug-in Hybrid Electric Motorcycle (HEM) which renovated from a Honda Lead 110cc with rear wheel is driven by original internal combustion engine and continuously variable transmission, while front wheel is directly-driven by a 48V – 1,000W BLDC Hub-Motor. The research focuses on optimal calculating, designing, prototyping and testing an electric power supply using Lithium-ion (Li-ion) battery pack to replace the lead–acid battery. The simulation and experimental results are able to evaluate the dynamic characteristics and operating cost of HEM. The study has been designed and prototyed a 48V – 33Ah Li-ion battery pack with a Battery Management System (BMS) circuit embeded on the vehicle. The battery pack is 10.84 (kg) weight and 8.11 (l) volume, reduced 30 (kg) and 12.89 liters compared to the lead-acid battery where battery life is greater than 2,000 cycles. In only electric motor mode, the longest distance of the HEM is 78.77 (km) for a half load, only driver, and 65.83 (km) for full load, one driver, and one passenger. Maximum speed is 52.67 (km/h) for a half load and 48.42 (km/h) for full load. In hybrid mode until SOC reduce to 50%, HEM can travel 64.366 (km) for a half load and 54.477 (km) for full load. The fuel consumption in the each case is 2.162 and 2.425 (l/100km), 0.5 liter lower than the original one and 0.3 liter lower than lead-acid battery. The cost of investment in HEM is 56 million VND and the operating cost is 1,106 VND/km, while the original vehicles are 40 million VND and 1,352 (VND/km). For every 1km using hybrid vehicles, 246.88 VND will be saved, after about 3.1 years, it will recoup the spending on investment. At the end of the motorcycle life cycle is about 200,000 km, and 43 million VND will be saved.

scholarly journals A Novel Battery Management System for Series Parallel Connected Li-Ion Battery Pack for Electric Vehicle Application.

2019 ◽  
Vol 8 (4) ◽  
pp. 496-499
Keyword(s):  
Management System ◽  
Lithium Ion ◽  
Green Energy ◽  
Battery Pack ◽  
Battery Management System ◽  
Battery Management ◽  
Li Ion Battery ◽  
Efficient Operation ◽  
In Series ◽  
Li Ion

The green energy evolution initiated the use of electric and hybrid electric vehicles at present on roads. These vehicles extensively use different types of batteries and among them lithium ion batteries are prominent. The Li-ion battery pack constitutes number of Li-ion battery cells connected in series and parallel configuration. This battery bank needs a suitable battery management system for its efficient operation. This paper presents a novel battery management system to monitor and control the battery current, voltage, state of charge and most importantly the cell temperature. The detail BMS scheme for Li-ion battery pack is presented and simulation is carried out to validate its performance with a driving cycle of electric car.

scholarly journals Reliability Analysis of Different Cell Configurations of Lithium ion battery Pack

2019 ◽  
Vol 18 (2) ◽  
pp. 49-56
Author(s):  
Md. Nahian Al Subri Ivan ◽  
Sujit Devnath ◽  
Rethwan Faiz ◽  
Kazi Firoz Ahmed
Keyword(s):  
Mathematical Model ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
Battery Pack ◽  
Li Ion Battery ◽  
Series Configuration ◽  
Li Ion ◽  
Parallel Module ◽  
The Mathematical Model ◽  
Parallel Series

To infer and predict the reliability of the remaining useful life of a lithium-ion (Li-ion) battery is very significant in the sectors associated with power source proficiency. As an energy source of electric vehicles (EV), Li-ion battery is getting attention due to its lighter weight and capability of storing higher energy. Problems with the reliability arises while li-ion batteries of higher voltages are required. As in this case several li-ion cells areconnected in series and failure of one cell may cause the failure of the whole battery pack. In this paper, Firstly, the capacity degradation of li-ion cells after each cycle is observed and secondly with the help of MATLAB 2016 a mathematical model is developed using Weibull Probability Distribution and Exponential Distribution to find the reliability of different types of cell configurations of a non-redundant li-ion battery pack. The mathematical model shows that the parallel-series configuration of cells is more reliable than the series configuration of cells. The mathematical model also shows that if the discharge rate (C-rate) remains constant; there could be an optimum number for increasing the cells in the parallel module of a parallel-series onfiguration of cells of a non-redundant li-ion battery pack; after which only increasing the number of cells in parallel module doesn’t increase the reliability of the whole battery pack significantly. 

scholarly journals 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

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.

Internal Resistance Based Assessment Model for the Degradation of Li-Ion Battery Pack

2020 ◽  
Author(s):  
Iffandya Popy Wulandari ◽  
Min-Chun Pan
Keyword(s):  
Internal Resistance ◽  
Remaining Useful Life ◽  
Assessment Model ◽  
Battery Pack ◽  
Supervised Machine Learning ◽  
Support Vector ◽  
Battery Management System ◽  
Li Ion Battery ◽  
Battery Packs ◽  
Li Ion

Abstract As one pioneer means for energy storage, Li-ion battery packs have a complex and critical issue about degradation monitoring and remaining useful life estimation. It induces challenges on condition characterization of Li-ion battery packs such as internal resistance (IR). The IR is an essential parameter of a Li-ion battery pack, relating to the energy efficiency, power performance, degradation, and physical life of the li-ion battery pack. This study aims to obtain reliable IR through applying an evaluation test that acquires data such as voltage, current, and temperature provided by the battery management system (BMS). Additionally, this paper proposes an approach to predict the degradation of Li-ion battery pack using support vector regression (SVR) with RBF kernel. The modeling approach using the relationship between internal resistance, different SOC levels 20%–100%, and cycle at the beginning of life 1 cycle until cycle 500. The data-driven method is used here to achieve battery life prediction.based on internal resistance behavior in every period using supervised machine learning, SVR. Our experiment result shows that the internal resistance was increasing non-linear, approximately 0.24%, and it happened if the cycle rise until 500 cycles. Besides, using SVR algorithm, the quality of the fitting was evaluated using coefficient determination R2, and the score is 0.96. In the proposed modeling process of the battery pack, the value of MSE is 0.000035.

scholarly journals Scheduled Pre-Heating of Li-Ion Battery Packs for Balanced Temperature and State-of-Charge Distribution

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2212
Author(s):  
Hien Vu ◽  
Donghwa Shin
Keyword(s):  
Thermal Characteristics ◽  
Lithium Ion ◽  
State Of Charge ◽  
Battery Pack ◽  
Li Ion Battery ◽  
Internal Heating ◽  
Heating Efficiency ◽  
Battery Packs ◽  
Unit Cells ◽  
Li Ion

Lithium-ion batteries exhibit significant performance degradation such as power/energy capacity loss and life cycle reduction in low-temperature conditions. Hence, the Li-ion battery pack is heated before usage to enhance its performance and lifetime. Recently, many internal heating methods have been proposed to provide fast and efficient pre-heating. However, the proposed methods only consider a combination of unit cells while the internal heating should be implemented for multiple groups within a battery pack. In this study, we investigated the possibility of timing control to simultaneously obtain balanced temperature and state of charge (SOC) between each cell by considering geometrical and thermal characteristics of the battery pack. The proposed method schedules the order and timing of the charge/discharge period for geometrical groups in a battery pack during internal pre-heating. We performed a pack-level simulation with realistic electro-thermal parameters of the unit battery cells by using the mutual pulse heating strategy for multi-layer geometry to acquire the highest heating efficiency. The simulation results for heating from −30 ∘ C to 10 ∘ C indicated that a balanced temperature-SOC status can be achieved via the proposed method. The temperature difference can be decreased to 0.38 ∘ C and 0.19% of the SOC difference in a heating range of 40 ∘ C with only a maximum SOC loss of 2.71% at the end of pre-heating.

Energy Equalization Circuit with Multiple Primary Windings for Li-Ion Battery System

2013 ◽  
Vol 380-384 ◽  
pp. 3374-3377
Author(s):  
San Xing Chen ◽  
Ming Yu Gao ◽  
Guo Jin Ma ◽  
Zhi Wei He
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Battery Pack ◽  
Li Ion Battery ◽  
Battery System ◽  
Multiple Primary ◽  
In Series ◽  
A Cell ◽  
Li Ion ◽  
Number Of Cells

In this paper, a cell equalization circuit based on the Flyback topology is proposed for the Lithium-ion battery pack. Multiple transformers are employed in this circuit, equal to the number of cells in the pack. All the primary windings are coupled in series to provide the equalizing energy form the whole battery pack to the specific under charged cells. The structure and principle of the circuit is discussed, finally a prototype of four cells is presented to show the outstanding equalization efficiency of the proposed circuit.

scholarly journals Comparative Study of Equivalent Circuit Models Performance in Four Common Lithium-Ion Batteries: LFP, NMC, LMO, NCA

Batteries ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. 51
Author(s):  
Manh-Kien Tran ◽  
Andre DaCosta ◽  
Anosh Mevawalla ◽  
Satyam Panchal ◽  
Michael Fowler
Keyword(s):  
Equivalent Circuit ◽  
Equivalent Circuit Model ◽  
Lithium Ion ◽  
Battery Management System ◽  
Battery Management ◽  
Li Ion Batteries ◽  
Li Ion Battery ◽  
Battery Modeling ◽  
Li Ion ◽  
And Control

Lithium-ion (Li-ion) batteries are an important component of energy storage systems used in various applications such as electric vehicles and portable electronics. There are many chemistries of Li-ion battery, but LFP, NMC, LMO, and NCA are four commonly used types. In order for the battery applications to operate safely and effectively, battery modeling is very important. The equivalent circuit model (ECM) is a battery model often used in the battery management system (BMS) to monitor and control Li-ion batteries. In this study, experiments were performed to investigate the performance of three different ECMs (1RC, 2RC, and 1RC with hysteresis) on four Li-ion battery chemistries (LFP, NMC, LMO, and NCA). The results indicated that all three models are usable for the four types of Li-ion chemistries, with low errors. It was also found that the ECMs tend to perform better in dynamic current profiles compared to non-dynamic ones. Overall, the best-performed model for LFP and NCA was the 1RC with hysteresis ECM, while the most suited model for NMC and LMO was the 1RC ECM. The results from this study showed that different ECMs would be suited for different Li-ion battery chemistries, which should be an important factor to be considered in real-world battery and BMS applications.

scholarly journals Innovative Modeling Approach for Li-Ion Battery Packs Considering Intrinsic Cell Unbalances and Packaging Elements

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 356 ◽  
Author(s):  
Sung-Tae Ko ◽  
Jaehyung Lee ◽  
Jung-Hoon Ahn ◽  
Byoung Kuk Lee
Keyword(s):  
Battery Pack ◽  
Battery Management System ◽  
Battery Management ◽  
Li Ion Battery ◽  
Modeling Approach ◽  
Battery Packs ◽  
Li Ion ◽  
The Mean ◽  
Mean Square Errors ◽  
Test Profiles

In this paper, an innovative modeling approach for Li-ion battery packs is proposed by considering intrinsic cell unbalances and packaging elements. The proposed modeling method shows that the accurate battery pack model can be achieved if the overall influences of intrinsic cell unbalances and packaging elements are taken account. Concurrently, the proposed method takes a practical model structure, resulting in the reduction of computational burden in a battery management system. Furthermore, because the proposed method utilizes cell information without a manufactured battery pack, it can be helpful to design optimal battery packs. The proposed method is verified through simulation and experimental results of the Li-ion battery pack along with the battery cycler. In three test profiles, the mean absolute percentage errors and root mean square errors of the proposed pack model do not exceed 0.5% and 0.07 V, respectively.

Advanced Performance Estimation Model for Lithium-Ion Power Battery Used in Pure Electric Vehicles

2014 ◽  
Vol 472 ◽  
pp. 379-388
Author(s):  
Ling Juan Li ◽  
Ming Ming Liu ◽  
J.R. Linna ◽  
Guo Hua Ye ◽  
Xiao Bing Liu
Keyword(s):  
Lithium Ion ◽  
Driving Cycle ◽  
Performance Model ◽  
Performance Estimation ◽  
Parameter Analysis ◽  
Battery Pack ◽  
Maximum Speed ◽  
Estimation Model ◽  
Li Ion ◽  
Traction Power

The growing demand for accurate performance simulations of high-power Li-ion traction batteries requires a fast and effective method. In this paper, an advanced estimation model is proposed to evaluate Li-ion traction battery performance in pure electric vehicle (PEV) applications. The estimation model, which combines road load simulation and lumped parameter analysis, can predict vehicle traction power requirements and entire battery performance parameters both for charge (regenerative braking or grid charging) and discharge (traction power) processes. The model is validated for a battery pack in aPEVoperating over three representative driving cycles: (i) the new European driving cycle (NEDC), (ii) 60km/h constant speed driving cycle, and (iii) 30min maximum speed driving cycle. The results show that the combined performance model output corresponds well with measured data. Thus, this new proposed model can be used to validate battery pack performance during in-vehicle use with reasonable accuracy.

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