Abstract:
A speed optimization framework is presented to minimize both the battery aging and the energy consumption for intelligent electric vehicles (EVs) during acceleration proc...Show MoreMetadata
Abstract:
A speed optimization framework is presented to minimize both the battery aging and the energy consumption for intelligent electric vehicles (EVs) during acceleration process. To describe quantitatively the battery capacity loss and to optimize in real-life driving conditions, a control-oriented battery life model is derived. Then, the formulation of the speed optimization during an acceleration process is established and solved by sequential quadratic programming (SQP) algorithm. Several simulations are conducted in the case that an intelligent EV speeds up to the specified speed considering different road slopes. The results during an acceleration process from 0 to 100 km/h within 14 s show that the loss of battery capacity can be reduced by 9.6% while the battery energy consumption is merely increased by 1.6% compared with the strategy that only considers the optimal energy consumption.
Published in: IEEE Transactions on Vehicular Technology ( Volume: 67, Issue: 9, September 2018)