Study on Li-Ion Battery Intelligent Management System Based on AGV

2014 ◽  
Vol 651-653 ◽  
pp. 1101-1104 ◽  
Author(s):  
Hao Ming Zhang ◽  
Hong Li ◽  
Lian Soon Peh

Li-ion battery, with the advantage as small size, large power density, high individual voltage, low self-discharge rate, and low internal resistor so on, substitutes the traditional power battery used in AGV system. In the practical application, Li-ion battery discharge with large current after a period of time, the upper voltage of every cell will be non-consistency, and the power system will work abnormally. In the case, the intelligent management of li-ion battery is designed.Experiment result improves that the system can effectively protect the li-ion battery and realize the energy feedback.

2014 ◽  
Vol 651-653 ◽  
pp. 1056-1059
Author(s):  
Hao Ming Zhang ◽  
Hong Li ◽  
Lian Soon Peh

Li-ion battery, as a new type of energy storage equipment, has small size, large power density, high individual voltage, low rate of self-discharging and small self-resistance etc. It substitutes the traditional power battery in AGV.In practical process, due to the difference of battery cells, after a period of charge-discharge time, the upper and lower voltage limits of every unit of batteries become various, seriously affecting the system performance. The idea of upper and lower equalizer is released for this case. Then, a further research is made on the equalizer circuit of li-ion battery. The experiment result proves the correctness of design on several types of lithium battery equalizer circuit.


2014 ◽  
Vol 1049-1050 ◽  
pp. 578-581
Author(s):  
Ying Hai Wang ◽  
Hao Ming Zhang ◽  
Lian Soon Peh

Rural grid has large waste for its discontinuity in application. Li-ion battery, with feature such as small size, large power density, high single voltage, low self-discharge rate, low inner resistor and so on, has been applied in power storage system. The intelligent power storage system based on li-ion battery and super capacitor can effectively storage the extra power in the period of grid off-peak, and also could absorb the feedback energy when the velocity modulation system is braking, largely increases the use rate of energy storage.


2021 ◽  
Vol 896 ◽  
pp. 53-59
Author(s):  
Yi Yang Shen

The development of next generation Li ion battery has attracted many attentions of researchers due to the rapidly increasing demands to portable energy storage devices. General Li metal/alloy anodes are confronted with challenges of dendritic crystal formation and slow charge/discharge rate. Recently, the prosperity of two-dimensional materials opens a new window for the design of battery anode. In the present study, MoS2/graphene heterostructure is investigate for the anode application of Li ion battery using first-principles calculations. The Li binding energy, open-circuit voltage, and electronic band structures are acquired for various Li concentrations. We found the open-circuit voltage decreases from ~2.28 to ~0.4 V for concentration from 0 to 1. Density of states show the electrical conductivity of the intercalated heterostructures can be significantly enhanced. The charge density differences are used to explain the variations of voltage and density of states. Last, ~0.43 eV diffusion energy barrier of Li implies the possible fast charge/discharge rate. Our study indicate MoS2/graphene heterostructure is promising material as Li ion battery anode.


2013 ◽  
Vol 441 ◽  
pp. 502-505 ◽  
Author(s):  
Shan Li ◽  
Shu Xi Liu ◽  
Bo Wu

In this paper a design scheme is introduced about the simulation of Li-ion power battery discharging characteristics based on the architecture DSP + IPM module. It is described the building of Li-ion power battery circuit model, and the obtaining of the characteristic parameters of Li-ion battery. The discharging characteristic is implemented on bi-directional DC/DC converting circuit. The design of hardware and software is introduced and the experiment result is given.


Author(s):  
Ruben Hidalgo-Leon ◽  
Javier Urquizo ◽  
Jaqueline Litardo ◽  
Pablo Jacome-Ruiz ◽  
Pritpal Singh ◽  
...  

2015 ◽  
Vol 733 ◽  
pp. 714-717 ◽  
Author(s):  
Ping Yang ◽  
Hou Yu Yu ◽  
Yong Gang Yan

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.


2013 ◽  
Vol 470 ◽  
pp. 617-620
Author(s):  
Liang Han ◽  
Yong Ming Liu ◽  
Dan Ya He ◽  
Feng Xiao

Li-ion battery becomes an important development direction because of energy shortage and environmental pollution. The electrode is the main part of Li-ion battery, which has the important influence to the performance, cycle life and the capacity of the battery. So, it is necessary that we should accurately detect the surface defects of the electrode. The paper provides a detection approach based on industrial camera and image processing software HALCON. The machine vision technology is used to detect defects of the electrode, and the high-performance software HALCON to process and analyze the acquired image. The combination of software and hardware can improve the efficiency of detection.


Author(s):  
Kyung-min Jang ◽  
Kwang-Woo Choi ◽  
John E. NamGoong ◽  
Kwang-Sun Kim

As the demand of the rechargeable battery has been requested not only from operating the small devices, but also from operating the large and medium size equipment such as an electric vehicle, the research has been focused on the stability of the battery, minimization of the energy loss, and finding the new materials for effective energy storage. The Lithium-ion (Li-ion) battery consists of four main components which are cathode active material, anode active material, electrolyte, and the separator. One of current research fields of the Li-ion battery material is in the area of cathode active material. It is because the cathode active material has 30∼40% of the manufacturing cost and it vastly affects the capacity of the batteries. In this research, we conduct one-cell simulation to compare the battery performance for changing the properties of the Cathode material. It is one of the thermochemical parameters that can affect the charge/discharge rate and the life of the batteries. Although, the certain kind of active materials has been reported in previous reports, we used the new material properties and researched about the whole discharge curve for future material development. The heating behavior is also investigated with the arbitrary properties being varied.


1994 ◽  
Vol 369 ◽  
Author(s):  
J.M. Tarascon ◽  
C. Schmutz ◽  
A.S. Gozdz ◽  
P.C. Warren ◽  
F.K. Shokoohi

AbstractIn 1992, Bellcore researchers demonstrated the feasibility of a liquidelectrolyte Li-ion system based on the Li1 + xMn2O4/C redox couple which presents cost and environmental advantages over the LiCoO2/C system. However, neither of these systems are free of the risk of electrolyte leakage. To address this problem, we investigated various means of trapping the liquid electrolyte in a polymer matrix and developed the first practical plastic Li-ion battery. In this paper we compare the performance and scaleability of this technology to those of its liquid Li-ion counterpart. Based on the “hybrid polymer” concept, this battery exhibits excellent cycle life (more than 2500 cycles) and good rate capabilities (the battery can deliver 95% of its total capacity at a 1C discharge rate). This technology is compatible with various positive (LiMn2O4, LiCoO2 and LiNiO2) and negative (carbon, graphite) electrode materials.


Author(s):  
Xiuling Wang

Abstract Li-ion battery is becoming a popular energy storage device in Hybrid Electric Vehicles (HEV) and Electric Vehicles (EV) due to its high energy density, high voltage and low self-discharge rate. The major concerns in designing Li-ion batteries are their life, performance and safety, which have close relations to their thermal behaviors. The temperature of Li-ion batteries rises during charge/discharge process. It goes faster especially with high charge/discharge rate during fast charging procedure. In this research, CFD models are developed based on ANSYS/FLUENT MSMD battery model coupled with electrochemical submodel-Newman, Tiedeman, Gu and Kim (NTGK) empirical model. Detailed simulation results are obtained in battery thermal and electrochemical behavior for different bi-cell electrode and current collector tab configurations. The temperature, potential, current density distribution at the battery length scale are determined, temperature gradient distribution is computed, and the maximum temperature at different discharge rate are also compared. The thermal investigation can provide valuable input for Li-ion battery design and analysis, especially for fast-charging batteries where heat distribution and cooling is critical for the battery design.


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