关注
Asanthi Jinasena
标题
引用次数
引用次数
年份
Current trends for state-of-charge (SoC) estimation in lithium-ion battery electric vehicles
IB Espedal, A Jinasena, OS Burheim, JJ Lamb
Energies 14 (11), 3284, 2021
1142021
A Flexible Model for Benchmarking the Energy Usage of Automotive Lithium-Ion Battery Cell Manufacturing
A Jinasena, OS Burheim, AH Strømman
Batteries 7 (1), 14, 2021
512021
Online Internal Temperature Sensors in Lithium-Ion Batteries: State-of-the-art and Future Trends
A Jinasena, L Spitthoff, MS Wahl, JJ Lamb, P Shearing, AH Strømman, ...
Frontiers in Chemical Engineering, 6, 2022
312022
The importance of optical fibres for internal temperature sensing in lithium-ion batteries during operation
MS Wahl, L Spitthoff, HI Muri, A Jinasena, OS Burheim, JJ Lamb
Energies 14 (12), 3617, 2021
272021
Extraction and degradation of chlorophyll a and b from Alternanthera sessilis
MAM Jinasena, A Amarasinghe, B Amarasinghe, MAB Prashantha
National Science Foundation of Sri Lanka, 2016
242016
Use of Orthogonal Collocation Method for a Dynamic Model of the Flow in a Prismatic Open Channel: For Estimation Purposes
A Jinasena, GO Kaasa, R Sharma
Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58 …, 2017
192017
Dynamic Model of an Ammonia Synthesis Reactor Based on Open Information
A Jinasena, B Lie, B Glemmestad
9th EUROSIM Congress on Modelling and Simulation, 943-948, 2016
132016
Improved real–time estimation of return flow rate of drilling fluids by model adaptation for friction parameter
A Jinasena, GO Kaasa, R Sharma
IEEE Sensors Journal 19 (20), 9314-9323, 2019
122019
Study of an Industrial Electrode Dryer of a Lithium-Ion Battery Manufacturing Plant: Dynamic Modelling
E Oppegård, A Jinasena, AH Strømman, JA Suul, OS Burheim
Proceedings of the 61st Conference on Modelling and Simulation (SIMS 61) 176 …, 2020
112020
Estimation of Mud Losses during the Removal of Drill Cuttings in Oil Drilling
A Jinasena, R Sharma
SPE Journal 25 (05), 2162-2177, 2020
92020
Modeling and Analysis of Fluid Flow through A Non-Prismatic Open Channel with Application to Drilling
A Jinasena, A Ghaderi, R Sharma
Modeling, Identification and Control 39 (4), 261--272, 2018
92018
A flexible model for benchmarking the energy usage of automotive lithium-ion battery cell manufacturing, Batteries 7 (2021) 14
A Jinasena, OS Burheim, AH Strømman
7
A dynamic model for drain back to active mud pit combined with a well model during drilling
I Pirir, A Jinasena, R Sharma
Journal of Petroleum Science and Engineering 167, 803-818, 2018
62018
Non-newtonian fluid flow measurement in open venturi channel using shallow neural network time series and non-contact level measurement radar sensors
NS Noori, TI Waag, H Viumdal, R Sharma, MH Jondahl, A Jinasena
SPE Norway Subsurface Conference?, D011S001R003, 2020
52020
Model based flow measurement using venturi umes for return flow during drilling
I Pirir, A Jinasena, R Sharma
52017
Models and estimators for flow of topside drilling fluid
A Jinasena
University of South-Eastern Norway, 2019
42019
Model based real–time flow rate estimation in open channels with application to conventional drilling
A Jinasena, R Sharma
2018 18th International Conference on Control, Automation and Systems (ICCAS …, 2018
42018
Current trends for stateof-charge (SoC) estimation in lithium-ion battery electric vehicles. Energies 2021; 14: 3284
IB Espedal, A Jinasena, OS Burheim, JJ Lamb
4
Model Based Early Kick/Loss Detection and Attenuation with Topside Sensing in Managed Pressure Drilling
A Jinasena, HHF Holta, MH Jondahl, PKW Welahettige, OM Aamo, ...
Proceedings of the 61st Conference on Modelling and Simulation (SIMS 61) 176 …, 2020
32020
Adaptive Moving Horizon Estimator for Return Flow Rate Estimation using Fluid Levels of a Venturi Channel
A Jinasena, R Sharma
Modeling, Identification and Control 41 (2), 79-90, 2020
22020
系统目前无法执行此操作,请稍后再试。
文章 1–20