Dr. habil. Eng. Mihai V. MICEA Professor Head Department
Coordinator of the DSPLabs
Politehnica University of Timisoara
Faculty of Automation and Computers
Department of Computer and Information Technology
DSPLabs: Digital Signal Processing Laboratories

2, Vasile Parvan Blvd. , 300223, Timisoara, Romania
Tel/Fax: +40 256 403271 /+40 256 403214
E-mail: mihai.micea<at>cs.upt.ro
Webpage: http://dsplabs.cs.upt.ro/~micha
Citations Report
 
 
Cited Paper
[Jrnl 1]Online State-of-Health Assessment for Battery Management Systems
Author(s): Micea, Mihai Victor; Ungurean, Lucian; Carstoiu, Gabriel N.; Groza, Voicu
In: IEEE Transactions on Instrumentation and Measurement
Volume 60, Issue 6
Publisher: IEEE
Jun. 2011
Pages: 1997 - 2006, ISSN 0018-9456, DOI: 10.1109/TIM.2011.2115630
Indexed: ISI Web of Science, Thomson Reuters (WOS: 000290538700008), IF: 1.357
143
83 Citations in total (with a cummulated IF: 253.642)
 
 
Citing papers
[Jrnl 83]A. A. Chellal, J. Goncalves, J. Lima, V. Pinto, H. Megnafi, "Design of an Embedded Energy Management System for Li-Po Batteries Based on a DCC-EKF Approach for Use in Mobile Robots", Machines, vol. 9 (12), MDPI AG., Basel, Switzerland, Dec. 2021, ISSN 2075-1702, DOI: 10.3390/machines9120313. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 82]D. Lin, Y. Zhang, X. Zhao, Y. Tang, Z. Dai, . et al., "Early Prediction of Remaining Useful Life for Grid-Scale Battery Energy Storage System", J Energy Eng. - ASCE, vol. 147 (6), ASCE, USA, Dec. 2021, ISSN 0733-9402, DOI: 10.1061/(ASCE)EY.1943-7897.0000800. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 81]E. Vanem, C. B. Salucci, A. Bakdi, O. A. Alnes, "Data-driven state of health modelling-A review of state of the art and reflections on applications for maritime battery systems", J Energy Storage, vol. 43, Elsevier Science B.V., The Netherlands, Nov. 2021, ISSN 2352-152X, DOI: 10.1016/j.est.2021.103158. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 80]J. Li, M. Ye, K. Gao, S. Jiao, X. Xu, "State estimation of lithium polymer battery based on Kalman filter", Ionics, vol. 27 (9), Springer Heidelberg, Germany, Sep. 2021, pp. (3909 - 3918), ISSN 0947-7047, DOI: 10.1007/s11581-021-04165-z. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 79]Z. Fei, F. Yang, K. Tsui, L. Li, Z. Zhang, "Early prediction of battery lifetime via a machine learning based framework", Energy, vol. 225, Pergamon-Elsevier Science Ltd., Oxford, UK, Jun. 2021, ISSN 0360-5442, DOI: 10.1016/j.energy.2021.120205. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 78]S. Li, H. Fang, B. Shi, "Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression", Reliab. Eng. Syst. Saf., vol. 210, Elsevier Science B.V., The Netherlands, Jun. 2021, ISSN 0951-8320, DOI: 10.1016/j.ress.2021.107542. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 77]M. El-Dalahmeh, M. Al-Greer, M. El-Dalahmeh, M. Short, "Smooth particle filter-based likelihood approximations for remaining useful life prediction of Lithium-ion batteries", IET Smart Grid, vol. 4 (2), Wiley, USA, Apr. 2021, pp. (151 - 161), ISSN 2515-2947, DOI: 10.1049/stg2.12013. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 76]L. Deng, W. Shen, H. Wang, S. Wang, "A rest-time-based prognostic model for remaining useful life prediction of lithium-ion battery", Neural Comput. Appl., vol. 33 (6), Springer, USA, Mar. 2021, pp. (2035 - 2046), ISSN 0941-0643, DOI: 10.1007/s00521-020-05105-0. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 75]M. Johnen, S. Pitzen, U. Kamps, M. Kateri, . et al., "Modeling long-term capacity degradation of lithium-ion batteries", J Energy Storage, vol. 34, Elsevier Science B.V., The Netherlands, Feb. 2021, ISSN 2352-152X, DOI: 10.1016/j.est.2020.102011. [Indexed: ISI Web of Science, Clarivate Analytics].
[Conf 74]T. Tang, H. Yuan, J. Zhu, "RUL prediction of lithium batteries based on DLUKF algorithm", in Proc. IEEE C Ind. Electr. Appl., ICIEA, vol. 15, IEEE, Online, 09-13 Nov., 2020, pp. (1756 - 1761), ISBN 978-1-7281-5169-4, ISSN 2156-2318. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 73]F. Yang, D. Wang, F. Xu, Z. Huang, K. Tsui, "Lifespan prediction of lithium-ion batteries based on various extracted features and gradient boosting regression tree model", J Power Sources, vol. 476, Elsevier Science B.V., The Netherlands, Nov. 2020, ISSN 0378-7753, DOI: 10.1016/j.jpowsour.2020.228654. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 72]C. Lin, J. Cabrera, F. Yang, M. Ling, K. Tsui, S. Bae, "Battery state of health modeling and remaining useful life prediction through time series model", Appl. Energy, vol. 275, Elsevier Science, Oxford, UK, Oct. 2020, ISSN 0306-2619, DOI: 10.1016/j.apenergy.2020.115338. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 71]B. Duan, Q. Zhang, F. Geng, C. Zhang, "Remaining useful life prediction of lithium-ion battery based on extended Kalman particle filter", Int. J Energy Res., vol. 44 (3), Wiley, USA, Mar. 2020, pp. (1724 - 1734), ISSN 0363-907X, DOI: 10.1002/er.5002. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 70]Y. Zhou, M. Huang, M. Pecht, "Remaining useful life estimation of lithium-ion cells based on k-nearest neighbor regression with differential evolution optimization", J Clean Prod., vol. 249, Elsevier Science B.V., The Netherlands, Mar. 2020, ISSN 0959-6526, DOI: 10.1016/j.jclepro.2019.119409. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 69]H. Lin, C. Wei, H. Chen, "Cell quality measurement using cloud computing in case of NiCd/NiMH battery study", Adv. Compos. Lett., vol. 29, Sage Publications, UK, Feb. 2020, ISSN 0963-6935, DOI: 10.1177 /2633366X19898193. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 68]X. Hu, L. Xu, X. Lin, M. Pecht, "Battery Lifetime Prognostics", Joule, vol. 4 (2), Cell Press, USA, Feb. 2020, pp. (310 - 346), ISSN 2542-4351, DOI: 10.1016/j.joule.2019.11.018. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 67]P. Tagade, K. S. Hariharan, S. Ramachandran, . et al., "Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis", J Power Sources, vol. 445, Elsevier Science B.V., The Netherlands, Jan. 2020, ISSN 0378-7753, DOI: 10.1016/j.jpowsour.2019.227281. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 66]X. Liu, H. Zhang, Y. He, X. Zheng, G. Zeng, "Prognostics of Lithium-ion Batteries Based on IMM-UPF", Hunan Daxue Xuebao, vol. 47 (2), Hunan University, China, 2020, pp. (102 - 109), ISSN 1674-2974, DOI: 10.16339/j.cnki.hdxbzkb.2020.02.014. [Indexed: Scopus, Elsevier].
[Jrnl 65]W. Zhou, S. Bao, F. Xu, C. Zhao, "Remaining useful life prediction of lithium-ion batteries using a fusion method based on wasserstein gan", J China Univ. Post Telecom., vol. 27 (1), Beijing University of Posts and Telecommunications, China, 2020, pp. (1 - 9), ISSN 1005-8885, DOI: 10.19682/j.cnki.1005-8885.2020.0004. [Indexed: Scopus, Elsevier].
[Jrnl 64]K. Pugalenthi, H. Park, N. Raghavan, "Piecewise Model-Based Online Prognosis of Lithium-ion Batteries Using Particle Filters", IEEE Access, vol. 8, IEEE, USA, 2020, pp. (153508 - 153516), ISSN 2169-3536, DOI: 10.1109/ACCESS.2020.3017810. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 63]Y. Chen, Y. He, Z. Li, L. Chen, C. Zhang, "Remaining Useful Life Prediction and State of Health Diagnosis of Lithium-ion Battery Based on Second-Order Central Difference Particle Filter", IEEE Access, vol. 8, IEEE, USA, 2020, pp. (37305 - 37313), ISSN 2169-3536, DOI: 10.1109/ACCESS.2020.2974401. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 62]V. Ma, Y. Chen, X. Zhou, H. Chen, "Remaining Useful Life Prediction of Lithium-ion Battery Based on Gauss-Hermite Particle Filter", IEEE Trans. Control Syst. Technol., vol. 27 (4), IEEE, USA, Jul. 2019, pp. (1788 - 1795), ISSN 1063-6536, DOI: 10.1109/TCST.2018.2819965. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 61]Z. Xiao, H. Fang, "Remaining useful life prediction of lithium-ion battery based on unscented kalman filter and back propagation neural network", in Proc. Data Driven Contr. Learn. Syst. C, DDCLS 2019, vol. 8, IEEE, China, 24-27 May., 2019, pp. (47 - 52), ISBN 978-1-7281-1454-5, DOI: 10.1109/DDCLS.2019.8908952. [Indexed: Scopus, Elsevier].
[Jrnl 60]Y. Wang, S. Tseng, B. H. Lindqvist, K. Tsui, "End of performance prediction of lithium-ion batteries", J Qual. Technol., vol. 51 (2), Taylor & Francis Ltd., USA, Apr. 2019, pp. (198 - 213), ISSN 0022-4065, DOI: 10.1080/00224065.2018.1541388. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 59]F. Yang, X. Song, G. Dong, K. Tsui, "A coulombic efficiency-based model for prognostics and health estimation of lithium-ion batteries", Energy, vol. 171, Pergamon-Elsevier Science Ltd., Oxford, UK, Mar. 2019, pp. (1173 - 1182), ISSN 0360-5442, DOI: 10.1016/j.energy.2019.01.083. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 58]Z. Wu, M. Shang, D. Shen, S. Qi, "SOC estimation for batteries using MS-AUKF and neural network", J Renew. Sustain. Energy, vol. 11 (2), American Institute of Physics, USA, Mar. 2019, pp. (1 - 8), ISSN 1941-7012, DOI: 10.1063/1.5064479. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 57]Z. Wu, M. Shang, D. Shen, S. Qi, "SOC Estimation of Battery by MS-AUKF Algorithm and BPNN", Proc. Chinese Soc. Electr. Eng., vol. 39 (21), Chinese Society for Electrical Engineering, China, 2019, pp. (6336 - 6343), ISSN 0258-8013, DOI: 10.13334/j.0258-8013.pcsee.181720. [Indexed: Scopus, Elsevier].
[Jrnl 56]S. l. Liu, X. Dong, Y. Zhang, "A New State of Charge Estimation Method for Lithium-ion Battery Based on the Fractional Order Model", IEEE Access, vol. 7, IEEE, USA, 2019, pp. (122949 - 122954), ISSN 2169-3536, DOI: 10.1109/ACCESS.2019.2932142. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 55]M. H. Lipu, M. Hannan, A. Hussain, M. M. Hoque, P. J. Ker, M. H. M. Saad, A. Ayob, "A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations", J Clean Prod., vol. 205, Elsevier Science B.V., The Netherlands, Dec. 2018, pp. (115 - 133), ISSN 0959-6526, DOI: 10.1016/j.jclepro.2018.09.065. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 54]Z. Li, H. Fang, Z. Xiao, "A novel hybrid model based on ensemble strategy for lithium-ion battery residual life prediction", in Proc. Chinese Autom. Congr., CAC 2018, IEEE, Xian, China, 30 Nov. - 02 Dec., 2018, pp. (2084 - 2089), ISBN 978-1-7281-1312-8. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 53]D. D. Sharma, "Receding Horizon Control Strategy for Energy Storage Devices Incorporating Capacity Loss", in Proc. Uttar Pradesh Sec. Int. C Electric., Electron. and Comput. Eng., UPCON 2018, IEEE, Gorakhpur, India, 02-04 Nov., 2018, pp. (1010 - 1015), ISBN 97B-1-53B6-5002-8, DOI: 10.1109/UPCON.2018.8596892. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 52]E. Tsioumas, N. Jabbour, C. Mademlis, "Estimation of the battery health by monitoring the electric motor drive performance in a building application", in Proc. Int. C Electr. Machines, ICEM 2018, vol. 23, IEEE, Greece, 03-06 Sep., 2018, pp. (1848 - 1854), ISBN 978-1-5386-2477-7, DOI: 10.1109/ICELMACH.2018.8506993. [Indexed: Scopus, Elsevier].
[Jrnl 51]M. Mishra, J. Martinsson, M. Rantatalo, K. Goebel, "Bayesian hierarchical model-based prognostics for lithium-ion batteries", Reliab. Eng. Syst. Saf., vol. 172, Elsevier Science B.V., The Netherlands, Apr. 2018, pp. (25 - 35), ISSN 0951-8320, DOI: 10.1016/j.ress.2017.11.020. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 50]P. Leijen, D. A. Steyn-Ross, N. Kularatna, "Use of Effective Capacitance Variation as a Measure of State-of-Health in a Series-Connected Automotive Battery Pack", IEEE Trans. Veh. Technol., vol. 67, IEEE, USA, Mar. 2018, pp. (1961 - 1968), ISSN 0018-9545, DOI: 10.1109/TVT.2017.2733002. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 49]Y. Zhou, M. Huang, "On-board Capacity Estimation of Lithium-ion Batteries Based on Charge Phase", J Electr. Eng. Technol., vol. 13 (2), KOREAN INST ELECTR ENG, South Korea, Mar. 2018, pp. (733 - 741), ISSN 1975-0102, DOI: 10.5370/JEET.2018.13.2.733. [Indexed: ISI Web of Science, Thomson Reuters].
[BChp 48]A. S. Liinas, A. Ginart, J. M. p. Velni, "Battery storage", in Fault Diagnosis for Robust Inverter Power Drives, IET, UK, Jan., 2018, pp. (253 - 270), ISBN 978-1-78561-411-8. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 47]D. D. Sharma, "Optimal Day Ahead Strategy Based on Capacity Loss for Battery Energy Storage System", in Proc. Int. C Power Syst., ICPS 2017, vol. 7, IEEE, Pune, India, 21-23 Dec., 2017, pp. (545 - 549), ISBN 978-1-5386-1789-2. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 46]M. Rajalingam, M. Karthikeyan, V. Diwakar, "Electric vehicle battery current prediction based on driving parameters", in Proc. IEEE Transport. Electrif. C, ITEC-India 2017, IEEE, Pune, India, 13-15 Dec., 2017, pp. (1 - 4), ISBN 978-1-5386-2668-9, DOI: 10.1109/ITEC-India.2017.8333882. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 45]Y. Cui, J. Yang, C. Du, P. Zuo, Y. Gao, X. Cheng, Y. Ma, G. Yin, "Prediction Model and Principle of End-of-Life Threshold for Lithium Ion Batteries Based on Open Circuit Voltage Drifts", Electrochim. Acta, vol. 255, Pergamon-Elsevier Science Ltd., Oxford, UK, Nov. 2017, pp. (83 - 91), ISSN 0013-4686, DOI: 10.1016/j.electacta.2017.09.151. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 44]A. Salazar, C. Restrepo, Y. Gao, J. M. Velni, A. Ginart, "An online LiFePO4 battery impedance estimation method for grid-tied residential energy storage systems", in Proc. Energ. Convers. Congr. Expo., ECCE 2017, IEEE, Cincinnati, USA, Oct., 2017, pp. (980 - 986), ISBN 978-1-5090-2998-3, DOI: 10.1109/ECCE.2017.8095892. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 43]S. Liu, N. Cui, C. Zhang, "An Adaptive Square Root Unscented Kalman Filter Approach for State of Charge Estimation of Lithium-Ion Batteries", Energies, vol. 10 (9), MDPI AG., Basel, Switzerland, Sep. 2017, ISSN 1996-1073, DOI: 10.3390/en10091345. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 42]X. Tan, J. Qiu, J. Luo, Q. Li, K. Lu, "Health State Assessment Technology of Equipments Based on Health State-General Test", J Vibr. Meas. Diagnos., vol. 37 (5), Nanjing University of Aeronautics an Astronautics, China, May. 2017, pp. (886 - 891), ISSN 1004-6801, DOI: 10.16450/j.cnki.issn.1004-6801.2017.05.005. [Indexed: Scopus, Elsevier].
[Jrnl 41]S. Liu, N. Cui, Y. Li, C. Zhang, "Modeling and State of Charge Estimation of Lithium-Ion Battery Based on Theory of Fractional Order for Electric Vehicle", T China Electrotech. Soc., vol. 32 (4), Chinese Machine Press, China, Apr. 2017, pp. (189 - 195), ISSN 1000-6753. [Indexed: Scopus, Elsevier].
[Jrnl 40]H. Yuan, L. Dung, "Offline State-of-Health Estimation for High-Power Lithium-Ion Batteries Using Three-Point Impedance Extraction Method", IEEE Trans. Veh. Technol., vol. 66 (3), IEEE, USA, Mar. 2017, pp. (2019 - 2032), ISSN 0018-9545, DOI: 10.1109/TVT.2016.2572163. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 39]F. Yang, D. Wang, Y. Xing, K. Tsui, "Prognostics of Li(NiMnCo)O-2-based lithium-ion batteries using a novel battery degradation model", Microelectron. Reliab., vol. 70, Pergamon-Elsevier Science Ltd., Oxford, UK, Mar. 2017, pp. (70 - 78), ISSN 0026-2714, DOI: 10.1016/j.microrel.2017.02.002. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 38]Z. Zeng, F. Di Maio, E. Zio, R. Kang, "A hierarchical decision-making framework for the assessment of the prediction capability of prognostic methods", Proc. Inst. Mech. Eng. Part O-J Risk Reliab., vol. 231 (1), Sage Publications, London, UK, Dec. 2017, pp. (36 - 52), ISSN 1748-006X, DOI: 10.1177/1748006X16683321. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 37]C. Ozkurt, F. Camci, V. Atamuradov, C. Odorry, "Integration of sampling based battery state of health estimation method in electric vehicles", Appl. Energy, vol. 175, Elsevier Science, Oxford, UK, Aug. 2016, pp. (356 - 367), ISSN 0306-2619, DOI: 10.1016/j.apenergy.2016.05.037. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 36]S. Saponara, L. Fanucci, F. Bernardo, A. Falciani, "Predictive Diagnosis of High-Power Transformer Faults by Networking Vibration Measuring Nodes With Integrated Signal Processing", IEEE Trans. Instrum. Meas., vol. 65 (8), IEEE, USA, Aug. 2016, pp. (1749 - 1760), ISSN 0018-9456, DOI: 10.1109/TIM.2016.2552658. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 35]D. Wang, F. Yang, K. Tsui, Q. Zhou, S. J. Bae, "Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter", IEEE Trans. Instrum. Meas., vol. 65 (6), IEEE, USA, Jun. 2016, pp. (1282 - 1291), ISSN 0018-9456, DOI: 10.1109/TIM.2016.2534258. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 34]L. V. Hartmann, E. C. T. Macedo, Y. P. M. Rodrigues, J. M. Villanueva, C. Vidal, "Network-Capable Smart Batteries for Smart Grid and Battery Management Systems", in Proc. IEEE Instrum. Meas. Tech. C, I2MTC 2016, IEEE, Taipei, TW, 23-26 May., 2016, pp. (624 - 629), ISBN 978-1-4673-9220-4. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 33]S. Saponara, "Distributed Measuring System for Predictive Diagnosis of Uninterruptible Power Supplies in Safety-Critical Applications", Energies, vol. 9 (5), MDPI AG., Basel, Switzerland, May. 2016, pp. (1 - 18), ISSN 1996-1073, DOI: 10.3390/en9050327. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 32]F. Di Maio, P. Turati, E. Zio, "Prediction capability assessment of data-driven prognostic methods for railway applications", in Proc. European C Prognostic Health Manag. Soc., PHM 2016, May., 2016.
[Conf 31]C. R. Lashway, G. Constant, J. Theogene, O. Mohammed, "A Real-time Circuit Topology for Battery Impedance Monitoring", in Proc. IEEE SoutheastCon C, SOUTHEASTCON 2016, IEEE, USA, 30 Mar. - 03 Apr., 2016, pp. (1 - 6), ISBN 978-1-5090-2246-5, ISSN 1558-058X. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 30]X. Xu, Z. Li, N. Chen, "A Hierarchical Model for Lithium-Ion Battery Degradation Prediction", IEEE Trans. Reliab., vol. 65 (1), IEEE, USA, Mar. 2016, pp. (310 - 325), ISSN 0018-9529, DOI: 10.1109/TR.2015.2451074. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 29]S. Saponara, "An Actuator Control Unit for Safety-Critical Mechatronic Applications with Embedded Energy Storage Backup", Energies, vol. 9 (3), MDPI AG., Basel, Switzerland, Mar. 2016, pp. (1 - 13), ISSN 1996-1073, DOI: 10.3390/en9030213. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 28]J. Yu, "State-of-Health Monitoring and Prediction of Lithium-Ion Battery Using Probabilistic Indication and State-Space Model", IEEE Trans. Instrum. Meas., vol. 64 (11), IEEE, USA, Nov. 2015, pp. (2937 - 2949), ISSN 0018-9456, DOI: 10.1109/TIM.2015.2444237. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 27]H. Yang, Y. Qiu, X. Guo, "Prediction of State-of-Health for Nickel-Metal Hydride Batteries by a Curve Model Based on Charge-Discharge Tests", Energies, vol. 8 (11), MDPI AG., Basel, Switzerland, Nov. 2015, pp. (12474 - 12487), ISSN 1996-1073, DOI: 10.3390/en81112322. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 26]D. Kim, T. Goh, M. Park, M. Seo, S. W. Kim, "Grey prediction method for forecasting the capacity of lithium-ion batteries", in Proc. Int. C Control Autom. Syst., ICCAS 2015, IEEE, Busan, South Korea, 13-16 Oct., 2015, pp. (1010 - 1012), ISBN 978-8-9932-1509-0, ISSN 2093-7121. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 25]M. Guida, F. Postiglione, G. Pulcini, "A Random-Effects Model for Long-Term Degradation Analysis of Solid Oxide Fuel Cells", Reliab. Eng. Syst. Saf., vol. 140, Elsevier Science B.V., The Netherlands, Aug. 2015, pp. (88 - 98), ISSN 0951-8320, DOI: 10.1016/j.ress.2015.03.036. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 24]B. Balagopal, M. Chow, "The state of the art approaches to estimate the state of health (SOH) and state of function (SOF) of lithium Ion batteries", in Proc. IEEE Int. C Ind. Informatics, INDIN 2015, IEEE, Cambridge, UK, 22-24 Jul., 2015, pp. (1302 - 1307), ISBN 978-1-4799-6649-3, DOI: 10.1109/INDIN.2015.7281923. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 23]M. Marracci, B. Tellini, M. Catelani, L. Ciani, "Ultracapacitor Degradation State Diagnosis via Electrochemical Impedance Spectroscopy", IEEE Trans. Instrum. Meas., vol. 64 (7), IEEE, USA, Jul. 2015, pp. (1916 - 1921), ISSN 0018-9456, DOI: 10.1109/TIM.2014.2367772. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 22]C. Hua, Y. Fang, P. Li, "Charge Equalisation for Series-Connected LiFePO4 Battery Strings", IET Power Electron., vol. 8 (6), IET, Hertford, UK, Jun. 2015, pp. (1017 - 1025), ISSN 1755-4535 , DOI: 10.1049/iet-pel.2014.0567 . [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 21]K. Tseng, J. Liang, W. Chang, S. Huang, "Regression Models Using Fully Discharged Voltage and Internal Resistance for State of Health Estimation of Lithium-Ion Batteries", Energies, vol. 8 (4), MDPI AG., Basel, Switzerland, Apr. 2015, pp. (2889 - 2907), ISSN 1996-1073, DOI: 10.3390/en8042889. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 20]F. Camci, C. Ozkurt, O. Toker, V. Atamuradov, "Sampling based State of Health estimation methodology for Li-ion batteries", J Power Sources, vol. 278, Elsevier Science B.V., The Netherlands, Mar. 2015, pp. (668 - 674), ISSN 0378-7753, DOI: doi:10.1016/j.jpowsour.2014.12.119. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 19]B. Sun, J. Jiang, F. Zheng, W. Zhao, B. Y. Liaw, H. Ruan, Z. Han, W. Zhang, "Practical state of health estimation of power batteries based on Delphi method and grey relational grade analysis", J Power Sources, vol. 282, Elsevier Science B.V., The Netherlands, Mar. 2015, pp. (146 - 157), ISSN 0378-7753, DOI: doi:10.1016/j.jpowsour.2015.01.106. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 18]M. Garcia-Plaza, D. Serrano-Jimenez, J. Eloy-Garcia Carrasco, J. Alonso-Martinez, "A Ni-Cd battery model considering state of charge and hysteresis effects", J Power Sources, vol. 275, Elsevier Science B.V., The Netherlands, Feb. 2015, pp. (595 - 604), ISSN 0378-7753, DOI: 10.1016/j.jpowsour.2014.11.031. [Indexed: ISI Web of Science, Thomson Reuters].
[BChp 17]N. Kularatna, "Dynamics, models, and management of rechargeable batteries", in Energy Storage Devices for Electronic Systems: Rechargeable Batteries and Supercapacitors, sect. 3, Elsevier Science B.V., The Netherlands, Nov., 2014, pp. (63 - 135), ISBN 978-012-407-947-2, DOI: 10.1016/B978-0-12-407947-2.00003-1. [Indexed: Scopus, Elsevier].
[Conf 16]W. Rugang, Y. Zhongliang, K. Qibin, "Introduction of a new Intelligent Battery", in Proc. IEEE Int. Telecom. Energ. C, INTELEC 2014, IEEE, Vancouver, Canada, 28 Sep. - 02 Oct., 2014, pp. (1 - 6), DOI: 10.1109/INTLEC.2014.6972146. [Indexed: Scopus, Elsevier].
[Jrnl 15]W. Waag, C. Fleischer, D. U. Sauer, "Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles", J Power Sources, vol. 258, Elsevier Science B.V., The Netherlands, Jul. 2014, pp. (321 - 339), ISSN 0378-7753, DOI: 10.1016/j.jpowsour.2014.02.064. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 14]J. Yu, "Health Degradation Detection and Monitoring of Lithium-Ion Battery Based on Adaptive Learning Method", IEEE Trans. Instrum. Meas., vol. 63 (7), IEEE, USA, Jul. 2014, pp. (1709 - 1721), ISSN 0018-9456, DOI: 10.1109/TIM.2013.2293234. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 13]M. Catelani, L. Ciani, M. Marracci, B. Tellini, "Frequency dependent failure region definition for supercapacitors", in Proc. IEEE Instrum. Meas. Tech. C, I2MTC 2014, IEEE, Montevideo, Uruguay, 12-15 May., 2014, pp. (1021 - 1025), ISBN 978-1-4673-6386-0, DOI: 10.1109/I2MTC.2014.6860897. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 12]M. Landi, G. Gross, "Measurement Techniques for Online Battery State of Health Estimation in Vehicle-to-Grid Applications", IEEE Trans. Instrum. Meas., vol. 63 (5), IEEE, USA, May. 2014, pp. (1224 - 1234), ISSN 0018-9456, DOI: 10.1109/TIM.2013.2292318. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 11]C. Hua, P. Li, Y. Fang, "Study of a Charge-Discharge Equalizer", in Proc. Int. C Inf. Sci., Electron. Ellectric. Eng., ISEEE 2014, IEEE, Sapporo, Japan, 26-28 Apr., 2014, pp. (565 - 568), ISBN 978-1-4799-3196-5, DOI: 10.1109/InfoSEEE.2014.6948177. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 10]S. Nejad, D. T. Gladwin, D. A. Stone, "A microcontroller-based state-of-health estimator for lithium-ion batteries", in Proc. IET Int. C Power Elecron., Machines, Drives, PEMD 2014, vol. 7, IET, Manchester, UK, 08-10 Apr., 2014, pp. (1 - 6), ISBN 978-1-84919-815-8, DOI: 10.1049/cp.2014.0519. [Indexed: Scopus, Elsevier].
[Jrnl 9]L. C. Stevanatto, V. J. Brusamarello, S. Tairov, "Parameter Identification and Analysis of Uncertainties in Measurements of Lead-Acid Batteries", IEEE Trans. Instrum. Meas., vol. 63 (4), IEEE, USA, Apr. 2014, pp. (761 - 768), ISSN 0018-9456, DOI: 10.1109/TIM.2013.2283545. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 8]G. Ablay, "Online Condition Monitoring of Battery Systems With a Nonlinear Estimator", IEEE Trans. Energy Convers., vol. 29 (1), IEEE, USA, Mar. 2014, pp. (232 - 239), ISSN 0885-8969, DOI: 10.1109/TEC.2013.2291812. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 7]A. Moldovan, S. Weibelzahl, C. Hava Muntean, "Energy-Aware Mobile Learning:Opportunities and Challenges", IEEE Commun. Surv. Tutor., vol. 16 (1), IEEE, USA, Feb. 2014, pp. (234 - 265), ISSN 1553-877X, DOI: 10.1109/SURV.2013.071913.00194. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 6]Y. Xing, E. W. M. Ma, K. Tsui, M. Pecht, "An ensemble model for predicting the remaining useful performance of lithium-ion batteries", Microelectron. Reliab., vol. 53 (6), Pergamon-Elsevier Science Ltd., Oxford, UK, Jun. 2013, pp. (811 - 820), ISSN 0026-2714, DOI: 10.1016/j.microrel.2012.12.003. [Indexed: ISI Web of Science, Thomson Reuters].
[Jrnl 5]M. Shahriari, M. Farrokhi, "Online State-of-Health Estimation of VRLA Batteries Using State of Charge", IEEE Trans. Ind. Electron., vol. 60 (1), IEEE, USA, Jan. 2013, pp. (191 - 202), ISSN 0278-0046, DOI: 10.1109/TIE.2012.2186771. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 4]Y. Xing, E. W. M. Ma, K. Tsui, M. Pecht, "Influence of Parameter Initialization on Battery Life Prediction for Online Applications", in Proc. 13-rd Int. C Electron. Packaging Tech. High Density Packaging, ICEPT-HDP 2012, IEEE, Guilin, China, 13-16 Aug., 2012, pp. (1043 - 1047), ISBN 978-1-4673-1681-1. [Indexed: ISI Web of Science, Thomson Reuters].
[Conf 3]M. Yatsui, H. Bai, N. Cramer, X. Zheng, M. Azhinehfar, D. Mead, "Evaluation of the impact of the different charging algorithms on the lead-acid batteries lifetime", in Proc. IEEE Transport. Electrification C and Expo, ITEC 2012, IEEE, Dearborn, USA, 18-20 Jun., 2012, pp. (1 - 4), ISBN 978-1-4673-1407-7, DOI: 10.1109/ITEC.2012.6243444. [Indexed: Scopus, Elsevier].
[Conf 2]C. Chen, M. Pecht, "Prognostics of lithium-ion batteries using model-based and data-driven methods", in Proc. IEEE C Prognostics Syst. Health Manag., PHM 2012, IEEE, Beijing, China, 23-25 May., 2012, pp. (1 - 6), ISBN 978-1-4577-1909-7, ISSN 2166-563X, DOI: 10.1109/PHM.2012.6228850. [Indexed: Scopus, Elsevier].
[Conf 1]Y. Xing, E. W. M. Ma, K. Tsui, M. Pecht, "A Case Study on Battery Life Prediction Using Particle Filtering", in Proc. IEEE C Prognostics Syst. Health Manag., PHM 2012, IEEE, Beijing, China, 23-25 May., 2012, pp. (1 - 6), ISBN 978-1-4577-1909-7, ISSN 2166-563X, DOI: 10.1109/PHM.2012.6228847. [Indexed: Scopus, Elsevier].