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Conference papers
Optimal predictive eco-driving cycles for conventional and electric cars
Abstract : In this paper, the computation of eco-driving cycles for electric and conventional vehicles using receding horizon and optimal control is investigated. The problem is formulated as consecutive-optimization problems aiming at minimizing the vehicle energy consumption under traffic and speed constraints. The solving method is based on Dynamic Programming (DP). The impact of the look-ahead distance on the optimal speed computation is studied to find a trade-off between the optimality and the computation time. Simulation results show that in urban driving conditions, a look-ahead distance of 300m to 500m leads to a sub-optimality less than 0.6% in the energy consumption compared to the global solution. For highway driving conditions, a look-ahead distance of 1km to 2km leads to a sub-optimality less than 0.7% compared to the global solution.
Cited literature [33 references]
https://hal-univ-orleans.archives-ouvertes.fr/hal-01826750
Contributor : Guillaume Colin <>
Submitted on : Friday, June 29, 2018 - 5:22:13 PM
Last modification on : Tuesday, November 19, 2019 - 4:47:53 PM
Long-term archiving on: : Thursday, September 27, 2018 - 8:46:42 AM
Contributor : Guillaume Colin <>
Submitted on : Friday, June 29, 2018 - 5:22:13 PM
Last modification on : Tuesday, November 19, 2019 - 4:47:53 PM
Long-term archiving on: : Thursday, September 27, 2018 - 8:46:42 AM
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2018_Maamria_et_al_ACC.pdf
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