Battery-aware energy-optimal Electric Vehicle driving management

K. Vatanparvar, Jiang Wan, M. A. Faruque
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引用次数: 30

Abstract

Recently, Electric Vehicles (EVs) have been considered as new paradigm of transportation in order to solve environmental concerns, e.g. air pollution. However, EVs pose new challenges regarding their Battery LifeTime (BLT), energy consumption, and energy costs related to battery charging. The EV power consumption may be estimated by having the route information and the EV specifications. Also, by having the battery characteristics, the battery capacity consumption and the BLT may be estimated for each route. In this paper, we propose a driving management which uses the above-mentioned information in order to optimize the driving route by being aware of the EV energy consumption, energy cost, and BLT. Our proposed driving management extends the BLT by 16.8% and reduces the energy consumption by 11.9% and energy cost by 12.6% on average, by selecting the optimized route instead of the fastest route.
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电池感知能量优化的电动汽车驾驶管理
最近,电动汽车(ev)被认为是解决空气污染等环境问题的新交通模式。然而,电动汽车在电池寿命(BLT)、能源消耗和与电池充电相关的能源成本方面提出了新的挑战。通过路由信息和EV规格,可以估算出EV的功耗。此外,通过电池特性,可以估计每条路线的电池容量消耗和BLT。在本文中,我们提出了一种利用上述信息的驾驶管理,通过了解电动汽车的能耗、能源成本和BLT来优化驾驶路线。我们提出的驾驶管理通过选择最优路线而不是最快路线,将BLT延长16.8%,平均降低能源消耗11.9%,能源成本12.6%。
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