TY - GEN
T1 - A Back-End Method Realizing the Ergonomic Advantage of Modularized Battery Systems
T2 - AHFE International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, 2019
AU - Chan, Victor K.Y.
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Whereas the author’s charging and discharging mechanism for modularized battery systems and the associated mathematical trade-off models proposed earlier minimize the human efforts in unloading/loading/(re)charging discharged modules, they per se cannot fully realize the potential ergonomic advantage of modularized battery systems in that considerable time is still necessitated for recharging the unloaded, discharged modules. Such time can apparently be obviated if unloaded, discharged modules are traded and swapped for some already fully charged modules at some battery swapping and charging stations. Battery module trading must be supported by a method to estimate the modules’ different remnant energy storage capacities (hereinafter, capacities) so that such disparity can be financially offset by the trading parties. This article delineates such an estimation method, which comprises Process 1 to calculate an indicator of a module’s capacity and Process 2 to estimate the module’s capacity based on the indicator and some other parameters of the module.
AB - Whereas the author’s charging and discharging mechanism for modularized battery systems and the associated mathematical trade-off models proposed earlier minimize the human efforts in unloading/loading/(re)charging discharged modules, they per se cannot fully realize the potential ergonomic advantage of modularized battery systems in that considerable time is still necessitated for recharging the unloaded, discharged modules. Such time can apparently be obviated if unloaded, discharged modules are traded and swapped for some already fully charged modules at some battery swapping and charging stations. Battery module trading must be supported by a method to estimate the modules’ different remnant energy storage capacities (hereinafter, capacities) so that such disparity can be financially offset by the trading parties. This article delineates such an estimation method, which comprises Process 1 to calculate an indicator of a module’s capacity and Process 2 to estimate the module’s capacity based on the indicator and some other parameters of the module.
KW - Battery ergonomics
KW - Battery modularization
KW - Remnant energy storage
UR - http://www.scopus.com/inward/record.url?scp=85067671801&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-20454-9_33
DO - 10.1007/978-3-030-20454-9_33
M3 - Conference contribution
AN - SCOPUS:85067671801
SN - 9783030204532
T3 - Advances in Intelligent Systems and Computing
SP - 322
EP - 328
BT - Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, 2019
A2 - Ahram, Tareq
PB - Springer Verlag
Y2 - 24 July 2019 through 28 July 2019
ER -