Abstract
The author and a co-inventor earlier patented a method and a subsystem to be incorporated into battery management systems for practically optimizing the ergonomics of battery system charging and discharging in a bid to tackle batteries’ long-standing conundrums of slow charging and costly charging infrastructures. The key idea is to modularize battery systems and prioritize charging and discharging of their battery modules so as to minimize periodic human effort to unload, load, and/or (re)charge the battery modules. The author also proposed earlier a mathematical trade-off model to address the ensuing issue of optimizing the extent of modularization, assuming Poisson probability distribution of depleted battery modules in each discharge cycle and zero incremental overhead mass of additional packaging materials and electronics associated with further modularization of a battery system. This article attempts to generalize the model by relaxing these two restrictive assumptions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chan, V.K.Y.: The modeling of technological trade-off in battery system design based on an ergonomic and low-cost alternative battery technology. In: Ahram, T., Karwowski, W. (eds.) Advances in Human Factors, Software, and Systems Engineering, Advances in Intelligent Systems and Computing, vol. 598, pp. 122–130. Springer, Cham (2018)
Wood III, D.L., Li, J., Daniel, C.: Prospects for reducing the processing cost of lithium ion batteries. J. Power Sour. 275, 234–242 (2015)
Hülsmann, M., Fornahl, D. (eds.): Evolutionary Paths Towards the Mobility Patterns of the Future. Lecture Notes in Mobility. Springer, Heidelberg (2014)
Barbarossa, C., Beckmann, S.C., De Pelsmacker, P., Moons, I., Gwozdz, W.: A self-identity based model of electric car adoption intention: a cross-cultural comparative study. J. Environ. Psychol. 42, 149–160 (2015)
Shiau, C.-S.N., Samaras, C., Hauffe, R., Michalek, J.J.: Impact of battery weight and charging patterns on the economic and environmental benefits of plug-in hybrid vehicles. Energy Policy 37, 2653–2663 (2009)
Lin, M.-C., Gong, M., Lu, B., Wu, Y., Wang, D.-Y., Guan, M., Angell, M., Chen, C., Yang, J., Hwang, B.-J., Dai, H.: An ultrafast rechargeable aluminium-ion battery. Nature 520, 324–328 (2015)
Omar, N., Monem, M.A., Firouz, Y., Salminen, J., Smekens, J., Hegazy, O., Gaulous, H., Mulder, G., Van den Bossche, P., Coosemans, T.: Lithium iron phosphate based battery – assessment of the aging parameters and development of cycle life model. Appl. Energy 113, 1575–1585 (2014)
Shousha, M., McRae, T., Prodić, A., Marten, V., Milios, J.: Design and implementation of high power density assisting step-up converter with integrated battery balancing feature. IEEE J. Emerg. Sel. Top. Power Electron. 5, 1068–1077 (2017)
Liu, Q.-C., Liu, T., Liu, D.-P., Li, Z.-J., Zhang, X.-B., Zhang, Y.: A flexible and wearable lithium-oxygen battery with record energy density achieved by the interlaced architecture inspired by bamboo slips. Adv. Mater. 28, 8413–8418 (2016)
Hsieh, G.-C., Chen, L.-R., Huang, K.-S.: Fuzzy-controlled li-ion battery charge system with active state-of-charge controller. IEEE Trans. Ind. Electron. 48, 585–593 (2001)
Yilmaz, M., Krein, P.T.: Review of battery charger topologies, charging power levels, and infrastructure for plug-in electric and hybrid vehicles. IEEE Trans. Power Electron. 28, 2151–2169 (2013)
Ralston, M., Nigro, N.: Plug-in electric vehicles: literature review. Technical report, Center for Climate and Energy Solutions (2011)
Chan, K.Y.V., Leong, S.L.: A control method to charge and discharge battery modules and the related system. Chinese Patent ZL 2015 1 0646435.8, 11 July 2017
Chan, K.Y.V., Leong, S.L.: A control method to charge and discharge battery modules and the related system. Japanese Patent Pending 2017-539044 (2017)
Engel, B., Wussow, J., Mummel, J.: Grid integration of conductive and inductive high-power charging systems. In: Liebl, J. (ed.) Netzintegration der Elektromobilität 2017, p. 73. Springer, Wiesbaden (2017)
Poisson, S.D.: Recherches sur la Probabilité des Jugements en Matière Criminelle et en Matière Civile, Précédées des Règles Générales du Calcul des Probabilitiés. Bachelier, Paris (1837)
Render, B., Stair Jr., R.M., Hanna, M.E., Hale, T.S.: Quantitative Analysis for Management, 13th edn. Pearson, Essex (2018)
Rahmati, A., Qian, A., Zhong, L.: Understanding human-battery interaction on mobile phones. In: 9th International Conference on Human Computer Interaction with Mobile Devices and Services, pp. 265–272. ACM, New York (2007)
Plett, G.L.: Battery Management Systems, Volume II: Equivalent-Circuit Methods. Artech House, Norwood (2016)
Acknowledgments
This article was supported by Grant (004/2013/A) of the Science and Technology Development Fund, the Government of Macao Special Administrative Region.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Chan, V.K.Y. (2019). A Generalized Ergonomic Trade-off Model for Modularized Battery Systems Particularly for ICT Equipment. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 787. Springer, Cham. https://doi.org/10.1007/978-3-319-94229-2_50
Download citation
DOI: https://doi.org/10.1007/978-3-319-94229-2_50
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94228-5
Online ISBN: 978-3-319-94229-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)