Optimization of Thermal and Structural Design in Lithium-Ion Batteries to Obtain Energy Efficient Battery Thermal Management System (BTMS): A Critical Review

Fayaz, H.; Afzal, Asif; Samee, Abdus; Soudagar, Manzoore Elahi M.; Akram, Naveed; Jilte, Ravindra; Islam, Md. Tariqul; Ağbulut, Ümit; Saleel, C. Ahamed

doi:10.1007/s11831-021-09571-0

Cited by 46 publications

(7 citation statements)

References 139 publications

(304 reference statements)

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“…The fuel spray break-up is caused by the aerodynamic interaction with the gas inside the chamber, whose relative motion contributes to amplify unstable waves on the spray surface. 39,54–56 Experimentally at lower fuel injection ratio, lowest engine block vibration was found to be 0.0251178 m/s 2 and 0.0257835 m/s 2 for WBED 5 and WBED 10, respectively, whereas it was 0.0276133 m/s 2 , 0.0294561 m/s 2 and 0.0305029 m/s 2 in case of WBED 15, WBED 20, and WBED 25, respectively, at 6 Nm load, 16 Compression ratio and 180 bar FIP condition. In same condition, as compared to diesel fuel, engine block vibration increases by 0.000202 m/s 2 , 0.0008677 m/s 2 , 0.0026975 m/s 2 , 0.0045403 m/s 2 , and 0.0055871 m/s 2 for WBED 5, WBED 10, WBED 15, WBED 20, and WBED 25, respectively.…”

Section: Resultsmentioning

confidence: 99%

Optimization and prediction of engine block vibration using micro-electro-mechanical systems capacitive accelerometer, fueled with diesel-bioethanol (water-hyacinth) blends by response surface methodology and artificial neural network

Choudhary

Chelladurai

Panchal³

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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The current investigation is focused on the vibration signals analysis for health status diagnosis of the single-cylinder diesel engine fueled with bioethanol diesel mixture. The water hyacinth (WH) plants (Eichhornia crassipes) are used as raw materials for bioethanol production. The bio-ethanol obtained from WH has been mixed with diesel fuel (WBED) to various extent. Systematically designed experiments were conducted with different working parameters like load, fuel injection pressure (FIP), and compression ratio (CR) in a diesel engine. The Micro-Electro-Mechanical Systems (MEMS) capacitive accelerometer was used to get vibration signals from the engine while operating with blended fuels. The obtained experimental vibrations data have been used to predict the engine vibration by using Response Surface Methodology (RSM) technique and Artificial Neural Network (ANN). The experimental results have been compared with RSM and ANN prediction results. From results, it is elicited that the acceleration declines with the increase in load and CR. At all tested blends, FIP produces a significant effect on the engine block vibration. Among all blends, WBED 5 and WBED 10 produce less vibration as compared to other diesel bioethanol blends. At optimized operating condition the engine block vibration for WBED 5; the experimental acceleration is 0.016962 m/s2 and the predicted acceleration by RSM and ANN is 0.016182 m/s2 and 0.0166 m/s2, respectively. For WBED 10, the acceleration is 0.0172604 m/s2 and the predicted acceleration by RSM and ANN 0.016207 m/s2 0.017 m/s2, respectively, has been found.

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Section: Resultsmentioning

confidence: 99%

Optimization and prediction of engine block vibration using micro-electro-mechanical systems capacitive accelerometer, fueled with diesel-bioethanol (water-hyacinth) blends by response surface methodology and artificial neural network

Choudhary

Chelladurai

Panchal³

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…This study has so far only examined the deposition of waste gas from oil and gas processing. It is proposed that sweetened produced mainstream gas are analyzed by exploring exergy analysis applications, especially when evaluating a series of produced gas streams, just to see how exergy analysis can be adapted to changing operating and process conditions for reasonable process safety and value creation (Afzal et al, 2021;Attia et al, 2021;Benoudina et al, 2021;Fayaz et al, 2021;Prasad et al, 2021).…”

Section: Thermodynamic Performance Parameters Of Exergy In the Oil An...mentioning

confidence: 99%

Exergetic Assessment of Waste Gas to Energy in a Novel Integrated NGL Recovery and Power Generation Plant

et al. 2022

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Natural gas processing, as one of the major energy sources, has become a focal point in boosting the energy value chain by processing high commercial value products such as natural gas liquids (NGL) and electricity generation. Natural gas processing has also amplified its usefulness to human well-being and global prosperity in different ways. However, the spate of gas flaring is a global phenomenon, despite advances in waste gas management technology. This research describes a unique integrated plant that recovers NGL and produces electricity via waste gas for the energy conversion process. Exergetic analysis has been offered to identify the causes of irreversibilities in the plant. Simulation models were built using the AspenOne HYSYS V10 and Aspen Plus V10 software to conceptualize the plant. The recovery of 60 kBD NGL and 2.55 kg mol/s of 97% lean methane gas (95% purity) as the residue was achieved from 320 MMSCFD of waste gas processing. The residue methane gas is combusted in a combustion chamber to recover hot gas in a heat recovery steam generator (HRSG) for steam generation and production of 646 MW of electricity. Analysis revealed that the heat exchangers collectively accounted for about 78% exergy destruction in the NGL recovery plant, while the 3 and 1.54%, respectively, of exergy is destroyed and lost in the demethanizer. The steam power plant showed similar irreversibilities with the boiler exchanger accounting for up to 88% exergy destruction. About 1.4% of exergy is lost as flue gas to the environment. At optimization, overall exergy efficiency reached 77.5 and 80.6% in the NGL recovery and steam power plant, respectively. Thus, this integrated plant model has not only demonstrated a marked improvement to similar models but is also a lucrative alternative to waste flare gas management. It is also proven to be a “flare-capture” alternative model for fossil fuels-related emission reduction and optimization tool for waste gas to energy.

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“…0 in Table 3 and the analysis should be carried out along with this in addition to nine other actual alternatives. [46][47][48][49] This ideal alternative is created by taking the best values of each criteria that is as all the criteria considered in this analysis are non-beneficial in nature, the ideal alternative Exp. 0 is formed by taking the minimum values of each criteria as depicted in Table 3.…”

Section: Copras-aras Hybrid Mcdm Modelmentioning

confidence: 99%

Development of entropy embedded COPRAS-ARAS hybrid MCDM model for optimizing EDM parameters while machining high carbon chromium steel plate

Goswami

Behera

Mitra

et al. 2022

Advances in Mechanical Engineering

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The purpose of this paper is to discuss the optimization of electrical discharge machining (EDM) parameters in a green production environment. The primary goal of this work is to create a novel hybrid multi-criteria decision making (MCDM) model that combines COPRAS and ARAS to determine the best input EDM parameters for machining high carbon chromium tool steel plate. To carry out the selection process, a total of nine tests were carried out using four input parameters, including dielectric level, peak current, flushing pressure, and pulse duration at three different levels of magnitude, and the readings of the respective five output parameters were measured. The weights of these five criterions are evaluated using entropy, while COPRAS-ARAS hybrid model is implemented to choose the best alternative experiment among these nine availabilities. Experiment 5 is found to be the best choice, with the machining parameters 261 µs pulse length, 0.3 kg/cm2 flushing pressure, 4.5 Å current, and 80 mm dielectric level being the optimal input values. The primary result demonstrates that the developed hybrid model is sufficiently accurate and provides the best choice when compared to six existing MCDM tools. Finally, sensitivity analysis is used to justify the hybrid model’s stability and consistency.

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Optimization of Thermal and Structural Design in Lithium-Ion Batteries to Obtain Energy Efficient Battery Thermal Management System (BTMS): A Critical Review

Cited by 46 publications

References 139 publications

Optimization and prediction of engine block vibration using micro-electro-mechanical systems capacitive accelerometer, fueled with diesel-bioethanol (water-hyacinth) blends by response surface methodology and artificial neural network

Optimization and prediction of engine block vibration using micro-electro-mechanical systems capacitive accelerometer, fueled with diesel-bioethanol (water-hyacinth) blends by response surface methodology and artificial neural network

Exergetic Assessment of Waste Gas to Energy in a Novel Integrated NGL Recovery and Power Generation Plant

Development of entropy embedded COPRAS-ARAS hybrid MCDM model for optimizing EDM parameters while machining high carbon chromium steel plate

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