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Allocation of the inductive charging system for bus rapid transit network

机译:公交快速交通网络感应充电系统的分配

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This paper proposes a multi-terminal allocation of inductive charging infrastructure for the public bus transit network using Lagos bus rapid transit as a case study. The charging model is formulated as a mathematical optimisation problem that allocates multi-terminal based inductive chargers for the transit network. The formulated optimisation problem is solved using a particle swarm optimisation algorithm. The results indicate that the allocation of the inductive chargers to transit system is more cost-efficient and reduce the battery size of the battery-electric bus when the bus terminals in a transit route are of equal distance from each other.
机译:本文以拉各斯快速公交为案例,为公共公交网络提出了感应充电基础设施的多终端分配方案。收费模型被公式化为数学优化问题,该数学优化问题为公交网络分配了基于多端子的感应式充电器。使用粒子群优化算法解决了制定的优化问题。结果表明,当公交路线中的总线端子彼此之间的距离相等时,将感应式充电器分配给公交系统更具成本效益,并减小了电池电动公交车的电池尺寸。

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