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Control strategy of an all-electric cruise ship based on cycle life mode of lithium battery pack

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Abstract

All-electric ships have become the main trend for the developments of touring ships; however, the frequent replacements of lithium battery packs still disturb the popularity of all-electric ships. This paper aimed at a class of pure electric sightseeing ships with the system of integrated electric propulsion. Based on the law of conservation of energy, a ship’s mileage and remaining battery capacity model were established. The relationships between mileage, arrival time, and the cycle life of lithium battery packs were considered to establish the aging model of a lithium battery. In this study, we investigated an energy switching strategy of lithium battery packs based on logical threshold optimization algorithm to reduce their aging rates. The investigated strategy was verified by building Simulink simulation model and sample ship test. The simulation results showed that under the same environment, as compared with the general charge and discharge management system, the capacity attenuation of a lithium battery pack was greatly reduced, and the difference between the reduced attenuation amount and the original attenuation amount could reach 41%. The actual test showed that when the sample ship’s voyage was at a uniform speed and straight line, the average aging serious factor of the lithium battery packs controlled by the proposed energy switching strategy was reduced by 0.1791 as compared with that of the general charge and discharge management system. This research validates that the proposed energy management strategy greatly can improve the cycle life of lithium battery packs.

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References

  • Belt JR, Ho CD, Motloch CG, Miller TJ, Doung TQ (2003) A capacity and power fade study of Li-ion cells during life cycle testing. J Power Sour 123:241–246

    Article  CAS  Google Scholar 

  • Bloom I, Cole BW, Sohn JJ, Jones SA, GPolzina E, SBattaglia V, Henriksen GL, Motlochn C, Unkelhaeuser T, Ingersoll D, Case HL (2001) An accelerated calendar and cycle life study of Li-ion cells. J Power Sour 101:238–247

    Article  CAS  Google Scholar 

  • Chen MC, Yu MM, Ho YT (2018) Using network centralized data envelopment analysis for shipping line resource allocation. Int J Environ Sci Technol 15:1777–1792

    Article  Google Scholar 

  • Cordoba-Arenas A, Onori S, Rizzoni G (2015) A control-oriented lithium-ion battery pack model for plug-in hybrid electric vehicle cycle-life studies and system design with consideration of health management. J Power Sources 279:791–808

    Article  CAS  Google Scholar 

  • De Vries H, Nguyen TT, Veld BOH (2015) Increasing the cycle life of lithium ion cells by partial state of charge cycling. Microelectron Reliab 55:2247–2253

    Article  Google Scholar 

  • Ding F, Xiao YT, Zhang SH (2018) Study on energy management control system and all-digital simulation of ship integrated power system. Ship Eng 040:46–51

    Google Scholar 

  • Dong B, Tian YT, Zhou CJ (2014) Energy management system optimal strategy for pure electric vehicle based on the dynamic programming. Appl Mech Mater 556–562:1472–1475

    Article  Google Scholar 

  • Ganesan N, Basu S, Hariharan KS, Kolake SM, Song TW, Yeo TJ, Sohn KS, Doob SW (2016) Physics based modeling of a series parallel battery pack for asymmetry analysis, predictive control and life extension. J Power Sources 322:57–67

    Article  CAS  Google Scholar 

  • Han X, Ouyang M, Lu L, Li J (2014) A comparative study of commercial lithium ion battery cycle life in electric vehicle: Capacity loss estimation. J Power Sources 268:658–669

    Article  CAS  Google Scholar 

  • Hou J, Sun J, Hofmann HK (2017) Mitigating power fluctuations in electric ship propulsion with hybrid energy storage system: design and analysIS. IEEE J Oceanic Eng 43:93–107

    Article  Google Scholar 

  • Huang XL, Toshiyuki H, Hori Y (2013) Energy management strategy based on frequency-varying filter for the battery supercapacitor hybrid system of electric vehicles. World Electric Vehicle J 6:0623–0628

    Article  Google Scholar 

  • Kwon H, Park H (2019) Numerical simulation of prismatic lithium-ion battery life cycles under a wide range of temperature. Inter J Precision Eng Manuf Green Technol 6:63–73

    Article  Google Scholar 

  • Lim CO, Park BC, Lee JC, Kim ES, Shin SC (2019) Electric power consumption predictive modeling of an electric propulsion ship considering the marine environment. Inter J Naval Architecture Ocean Engineer 11:765–781

    Article  Google Scholar 

  • Ma YJ (2019) Shanghai port exceeds the standard of ship sulfur content after early implementation of emission control measures for ships in flight. China Maritime Affairs 164:33–34

    Google Scholar 

  • Ming TY, Deng WW, Wu J, Zhang Q (2014) A hierarchical energy management strategy for battery-supercapacitor hybrid energy storage system of electric vehicle, IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific), Beijing, China

  • Molaeimanesh GR, Mousavi-Khoshdel SM, Nemati AB (2020) Experimental analysis of commerceal LiFePO4 battery life span used in electric vehicle under extremely cold and hot thermal conditions. J Thermal Anal Calorim. https://doi.org/10.1007/s10973-020-09272-z

    Article  Google Scholar 

  • Omar N, Monem MA, Firouz Y (2014) Lithium iron phosphate based battery-Assessment of the aging parameters and development of cycle life model. App Energy 113(43):1575–1585

    Article  CAS  Google Scholar 

  • Rao R, Vrudhula S (2005) Battery optimization vs energy optimization: which to choose and when?,” ICCAD- IEEE/ACM International Conference on Computer-Aided Design, 439–445, San Jose, CA, USA

  • Sauer DU, Karden E, Fricke B, Blanke H, Thele M, Bohlen O, Schiffer J, Gerschler JB, Kaiser R (2007) Charging performance of automotive batteries—an underestimated factor influencing lifetime and reliable battery operation. J Power Sources 168:22–30

    Article  CAS  Google Scholar 

  • Serrao SL (2011) A comparative analysis of energy management strategies for hybrid electric vehicles. J Dyn Syst Meas Control 133:1–9

    Article  Google Scholar 

  • Shabbir W, Evangelou SA (2014) Real-time control strategy to maximize hybrid electric vehicle powertrain efficiency. Appl Energy 135:512–522

    Article  Google Scholar 

  • Shabbir W, Evangelou SA (2019) Threshold-changing control strategy for series hybrid electric vehicles. Appl Energy 235:761–775

    Article  Google Scholar 

  • Shen D, Wu L, Kang G (2021) A novel online method for predicting the remaining useful life of lithium-ion batteries considering random variable discharge current. Energy 218:119490

    Article  Google Scholar 

  • Suri G, Onori S (2016) A control-oriented cycle-life model for hybrid electric vehicle lithium-ion batteries. Energy 96:644–653

    Article  Google Scholar 

  • Tan X, Zhan D, Lyu P (2020) Online state-of-health estimation of lithium-ion battery based on dynamic parameter identification at multi timescale and support vector regression. J Power Sources 484(01):229233

    Google Scholar 

  • Todeschini F (2012) An experimentally validated capacity degradation model for Li-Ion batteries in PHEVs applications. Fault Detection, Supervision Saf Technical Process 20(45):29–31

    Google Scholar 

  • Wang J, Liu P, Hicks-Garner J, Sherman E, Soukiazian S, Verbrugge M, Tataria H, Musser J, Finamore P (2011) Cycle-life model for graphite-LiFePO4 cells. J Power Source 196(8):3942–3948

    Article  CAS  Google Scholar 

  • Wang B, Xu J, Cao BG, Zhou X (2015) A novel multimode hybrid energy storage system and its energy management strategy for electric vehicles. J Power Sources 281:432–443

    Article  CAS  Google Scholar 

  • Wei Y (2017) Study on Powertrain Control Strategy of Battery Electric Vehicle Based on the Cycle Life of Power Battery, South China University of Technol: 14–39. (in Chinese).

  • Xu F, Yang F, Fei Z (2020) Life prediction of lithium-ion batteries based on stacked denoising autoencoders. Reliab Eng Syst Saf 208(04):107396

    Google Scholar 

  • Yan C, Yao YX, Cai WL (2020) The influence of formation temperature on the solid electrolyte interphase of graphite in lithium ion batteries. J Energy Chem 49:335–338

    Article  Google Scholar 

  • Yang Y, Okonkwo EG, Huang G (2020) On the sustainability of lithium ion battery industry-A review and perspective. Energy Storage Mater 36:186–212

    Article  Google Scholar 

  • Yin B, Wang XH, Xiao JM (2020) Ship energy management scheme based on improved particle swarm optimization algorithm. Chin J Ship Res 15:37–45

    Google Scholar 

  • Yoon CO, Lee PY, Jang M, Yoo K, Kim JH (2018) Comparison of Internal parameters varied by environmental tests between high-power series/parallel battery packs with different shapes. J Industrial Engineer Chem 71:260–269

    Article  Google Scholar 

  • Yu LR, Hsieh YC, Liu WC, Moo CS (2013) Balanced discharging for serial battery power modules with boost converters, International Conference on System Science & Engineering, Budapest, Hungary.

  • Yu LR, Ye D, Moo CS (2015) Discharging scenario of serial buck-boost battery power modules with fault tolerance, IECON - 41st Annual Conference of the IEEE Industrial Electronics Society, Yokohama, Japan.

  • Zhao JY, Gao YH, Guo JH, Chu L, Burke AF (2018) Cycle life testing of lithium batteries: the effect of load-leveling. Interna J Electrochem Sci 13:1773–1786

    Article  CAS  Google Scholar 

  • Zheng ZD, Wang K, Xu L, Li YD (2014) A hybrid cascaded multilevel converter for battery energy management applied in electric vehicles. IEEE Trans Power Electron 29:3537–3546

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the support provided by the National Natural Science Foundation of China (NO. 51679106) and the major science and technology project of Fujian province (NO. 2018H6014). This work was also supported by National-local Joint Engineering Research Center for Marine Navigation Aids Service.

Funding

This work was supported by projects the National Natural Science Foundation of China, Grant No. 52171308, and Nos. MOST 109–2221-E-390–023, MOST 110–2622-E-390–002, and MOST 110–2221-E-390–020.

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Authors and Affiliations

  1. College of Marine Engineering, Jimei University, Xiamen, 361021, China

    R. Chen & W. Yu

  2. Department of Chemical and Material Engineering, National University of Kaohsiung, Kaohsiung, 811, Taiwan

    C.-F. Yang

  3. Department of Aeronautical Engineering, Chaoyang University of Technology, Taichung, 413, Taiwan

    C.-F. Yang

Authors
  1. R. Chen
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  2. W. Yu
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  3. C.-F. Yang
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Corresponding author

Correspondence to C.-F. Yang.

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The authors declare no conflict of interest.

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Editorial responsibility: Parveen Fatemeh Rupani.

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Chen, R., Yu, W. & Yang, CF. Control strategy of an all-electric cruise ship based on cycle life mode of lithium battery pack. Int. J. Environ. Sci. Technol. 19, 8369–8384 (2022). https://doi.org/10.1007/s13762-021-03714-3

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  • DOI: https://doi.org/10.1007/s13762-021-03714-3

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