Review of Battery Management Strategy in Hybrid Lead-Acid-Lithium-Ion Energy Storage System for Transport Vehicles

This paper presents an innovative approach to the design of a forthcoming, fully electric-powered cargo vessel. This work begins by defining problems that need to be solved when designing vessels of this kind. Using available literature and market research, a solution for the design of a power management system and a battery management system for a cargo vessel of up to 1504 TEU capacity was developed. The proposed solution contains an innovative approach with three parallel energy sources. The solution takes into consideration the possible necessity for zero-emission work with the optional function of operation as an autonomous vessel. Energy storage system based on lithium-ion battery banks with a possibility of expanding the capacity is also described in this work as it is the core part of the proposed solution. It is estimated that the operation range for zero-emission work mode of up to 136 nautical miles can be achieved through the application of all fore-mentioned parts.

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Design and Simulation of an Energy Storage System with Batteries Lead Acid and Lithium-Ion for an Electric Vehicle: Battery vs. Conduction Cycle Efficiency Analysis

IEEE Latin America Transactions ◽

10.1109/tla.2020.9111669 ◽

2020 ◽

Vol 18 (08) ◽

pp. 1345-1352

Author(s):

Gustavo Soares dos Santos ◽

Francisco Jose Grandinetti ◽

Rodrigo Augusto Rocha Alves ◽

Wendell de Queiroz Lamas

Keyword(s):

Energy Storage ◽

Electric Vehicle ◽

Storage System ◽

Lithium Ion ◽

Energy Storage System ◽

Efficiency Analysis ◽

Electric Vehicle Battery ◽

Cycle Efficiency ◽

Lead Acid

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Modeling of DFIG Wind Turbine and Lithium Ion Energy Storage System

2010 Complexity in Engineering ◽

10.1109/compeng.2010.27 ◽

2010 ◽

Author(s):

Mattia Marinelli ◽

Andrea Morini ◽

Federico Silvestro

Keyword(s):

Energy Storage ◽

Wind Turbine ◽

Storage System ◽

Lithium Ion ◽

Energy Storage System ◽

Ion Energy

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Future Challenges in State of Charge Estimation for Lithium-Ion Batteries

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.a1789.1010120 ◽

2020 ◽

Vol 10 (1) ◽

pp. 215-223

Keyword(s):

Energy Storage ◽

Electric Vehicles ◽

Storage System ◽

Lithium Ion ◽

Energy Storage System ◽

Online Control ◽

State Of Charge ◽

Battery Management System ◽

Battery Management ◽

Future Challenges

Energy storage system is an Emerging technology in past few decades. The Energy storage system is an important technology for Electric Vehicles, Hybrid Electric Vehicles (EV) and (HVE) and Micro grid system. The Battery Management System (BMS) is need to be control and monitor the various parameter of the battery such as SOC , SOH, C-Rate, E-Rate ,Temperature , RVL , EOL and so on. However, the (SOC) State of Charge is an important estimation for the online control and BMS monitoring. The SOC is the challenging task when online control and BMS monitoring. This various technique or methods available to estimate the SOC and alsoits represents the Elaboration for various methods of SOC estimation and its drawback. Past five years, where the tendency of the Estimation technique has been oriented towards a mixture of probabilistic techniques and some Artificial Intelligence.

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Energy storage system in traction vehicle

MATEC Web of Conferences ◽

10.1051/matecconf/201818002008 ◽

2018 ◽

Vol 180 ◽

pp. 02008

Author(s):

Maciej Wieczorek ◽

Mirosław Lewandowski

Keyword(s):

Energy Storage ◽

Management Strategy ◽

Energy Savings ◽

Storage System ◽

Lithium Ion ◽

Energy Storage System ◽

Energy Management Strategy ◽

Different Types ◽

Hybrid Ess ◽

Made In

The paper compares three different types of energy storage system (ESS) in a tramway. It was assumed that the tram has to travel without catenary for 5 km. Two homogeneous energy storage systems were designed to provide energy for the ride: the first made of lithium-ion batteries and the second made of supercapacitors. The third solution is a hybrid ESS (HESS) composed of both of the aforementioned technologies. The comparison was made in terms of weight, price and power consumption when driving with and without a catenary. Using a well-fitted energy management strategy, 50% lower HESS mass was achieved compared to the homogeneous ESSes. The estimated price of the HESS is 29% lower than the battery ESS and 59% from the supercapacitor ESS. A comparison of the energy consumption of the tram with and without the ESS is also presented, depending on the amount of energy absorbed by other vehicles on the same power section. It follows that the use of the ESS allows for significant energy savings for driving with the catenary.

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