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- W3146035846 abstract "In this paper, optimal sizing of battery-only energy storage system (ESS) in EV applications is discussed. The sizing problem is formulated as minimization of battery cost subject to voltage, power and energy constraints. The problem is in general nonlinear in nature if both the series connected cells and parallel branches are unknown. Initially, keeping the number of parallel branches fixed the problem is solved as a linear programming problem (LPP) to find out the number of series-connected cells. Then it is solved as a nonlinear programming problem (NLPP) to find out both the number of series-connected cells and number of parallel branches. The results in both the cases are compared and are found to be identical. Further, along with the cost of the battery unit (BU), battery losses due to internal resistance of the cell and weight of the BU are optimized subjected to the constraints as in NLPP. Usually, LPP and NLPP methods yield non-integer solutions. To obtain integer solutions, branch and bound algorithm of integer programming is applied till integer solutions are attained. The integer solutions are optimal in comparison to those obtained by rounding up the initial solutions and not applying branch and bound method. Results indicate that with lower number of parallel branches, the cost of the battery unit decreases with an increase in battery loss." @default.
- W3146035846 created "2021-04-13" @default.
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- W3146035846 date "2020-12-16" @default.
- W3146035846 modified "2023-09-24" @default.
- W3146035846 title "Optimal Sizing Analysis of Battery Energy Storage System for Electric Vehicle" @default.
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- W3146035846 doi "https://doi.org/10.1109/pedes49360.2020.9379508" @default.
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