Prediction of State-of-Health for Nickel-Metal Hydride Batteries by a Curve Model Based on Charge-Discharge Tests

Yang, Huan; Qiu, Yubing; Guo, Xingpeng

doi:10.3390/en81112322

Cited by 8 publications

(3 citation statements)

References 45 publications

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“…Thus, they are mostly used in small size EVs. Nickle metal hydride batteries have a higher (twice) energy density level, longer life and they are environment-friendly when compared to the lead acid batteries [29], [30]. However, the long period of charging with the generation of heat at high temperature is one of its major drawbacks.…”

Section: Batterymentioning

confidence: 99%

Hybrid Electric Vehicles: A mini Overview

Muhammad

Haruna

2021

JMMST

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The present greenhouse effect and its arrays of limitations on energy sources have made Hybrid Electric Vehicles (HEV’s) a current research focus due to its reduced amount of fuel usage. The ability to simultaneously deliver power to the wheels from the mo-tor/engine made HEVs to have greater advantages (less fuel consumption and reduced internal combustion engine size without compromising the power output) over the tradi-tional vehicles. Despite its low patronage in markets, there is still hope that its popularity in the market will rise due to the superior qualities associated with it. This paper presented an brief review of Hybrid Electric Vehicles, by focusing on history, architecture and energy sources.

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Section: Batterymentioning

confidence: 99%

Hybrid Electric Vehicles: A mini Overview

Muhammad

Haruna

2021

JMMST

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“…Great performances and innovative designs are asked for by the electric transportation market [1]; for this reason, accurate and reliable models are needed. Knowing SoC (State of Charge) [2,3], SoH (State of Health) [4], OCV (Open Circuit Voltage) [5], currents, and voltages is absolutely necessary in order to have well designed and efficient energy storage systems, because nonlinear physical effects in batteries strongly influence battery lifetime [6]. An accurate battery model allows, in the design phase, to consider several factors such as charging strategies or extreme operating conditions [7].…”

Section: Introductionmentioning

confidence: 99%

Battery Models for Battery Powered Applications: A Comparative Study

et al. 2020

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Battery models have gained great importance in recent years, thanks to the increasingly massive penetration of electric vehicles in the transport market. Accurate battery models are needed to evaluate battery performances and design an efficient battery management system. Different modeling approaches are available in literature, each one with its own advantages and disadvantages. In general, more complex models give accurate results, at the cost of higher computational efforts and time-consuming and costly laboratory testing for parametrization. For these reasons, for early stage evaluation and design of battery management systems, models with simple parameter identification procedures are the most appropriate and feasible solutions. In this article, three different battery modeling approaches are considered, and their parameters’ identification are described. Two of the chosen models require no laboratory tests for parametrization, and most of the information are derived from the manufacturer’s datasheet, while the last battery model requires some laboratory assessments. The models are then validated at steady state, comparing the simulation results with the datasheet discharge curves, and in transient operation, comparing the simulation results with experimental results. The three modeling and parametrization approaches are systematically applied to the LG 18650HG2 lithium-ion cell, and results are presented, compared and discussed.

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“…In order to complete transport of large number of passengers using AH capacity limited by size of the hull, NI-MH batteries have to run in a wide SoC scope. To avoid damage caused by improper management and ensure cycle life, the optimal management of NI-MH battery based on precise SoC estimation becomes particularly important [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Using SoC Online Correction Method Based on Parameter Identification to Optimize the Operation Range of NI-MH Battery for Electric Boat

et al. 2018

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This paper discusses a design of a Battery Management System (BMS) solution for extending the life of Nickel-Metal Hydride (NI-MH) battery. Combined with application of electric boat, a State of Charge (SoC) optimal operation range control method based on high precision energy metering and online SoC correction is proposed. Firstly, a power metering scheme is introduced to reduce the original energy measurement error. Secondly, by establishing a model based parameter identification method and combining with Extended Kalman Filter (EKF) method, the estimation accuracy of SoC is guaranteed. Finally, SoC optimal operation range control method is presented to make battery running in the optimal range. After two years of operation, the battery managed by proposed method has much better status, compared to batteries that use AH integral method and fixed SoC operating range. Considering the SoC estimation of NI-MH battery is more difficult becausing special electrical characteristics, proposed method also would have a very good reference value for other types of battery management.

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Prediction of State-of-Health for Nickel-Metal Hydride Batteries by a Curve Model Based on Charge-Discharge Tests

Cited by 8 publications

References 45 publications

Hybrid Electric Vehicles: A mini Overview

Hybrid Electric Vehicles: A mini Overview

Battery Models for Battery Powered Applications: A Comparative Study

Using SoC Online Correction Method Based on Parameter Identification to Optimize the Operation Range of NI-MH Battery for Electric Boat

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