2017
DOI: 10.3390/en10050700
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The Optimal Road Grade Design for Minimizing Ground Vehicle Energy Consumption

Abstract: Abstract:Reducing energy consumption of ground vehicles is a paramount pursuit in academia and industry. Even though the road infrastructural has a significant influence on vehicular fuel consumption, the majority of the R&D efforts are dedicated to improving vehicles. Little investigation has been made in the optimal design of the road infrastructure to minimize the total fuel consumption of all vehicles running on it. This paper focuses on this overlooked design problem and the design parameters of the optim… Show more

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Cited by 6 publications
(13 citation statements)
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“…On the other hand, the correct and optimal driving behavior can also reduce the energy consumption of the vehicle. In our previous paper [29], the energy consumption model has been discussed. In this paper, the same energy consumption estimation method is used.…”
Section: Comparisonmentioning
confidence: 99%
See 1 more Smart Citation
“…On the other hand, the correct and optimal driving behavior can also reduce the energy consumption of the vehicle. In our previous paper [29], the energy consumption model has been discussed. In this paper, the same energy consumption estimation method is used.…”
Section: Comparisonmentioning
confidence: 99%
“…e results show that the prediction accuracy of driving behavior modeling will be affected by complex environment. e establishment of methods in [22][23][24]29] requires a large amount of actual driving data as measurement data, which is also strongly dependent on historical data.…”
Section: Introductionmentioning
confidence: 99%
“…For this issue, the PMP based optimal control is introduced with the ability to compute and optimize a single trajectory of the cost function called the Hamilton function. This leads to reduced computational time and accelerates the convergence, even for large design space exploration, which is a key figure for the proposed approach [23][24][25].…”
Section: Energymentioning
confidence: 99%
“…It simultaneously tunes and designs the energy management and component sizing by optimizing the main powertrain parameters in conformity with the specifications. Technically, it uses two nested loops, combining the particle swarm optimization (PSO) technique's performance [21,22] and the rapid Pontryagin optimal control algorithm (PMP Pontryagin's Minimum Principle) [23][24][25]. The former permits addressing vast search spaces for design component parameters while the latter enables considering energy management behaviour.…”
Section: Introductionmentioning
confidence: 99%
“…In (21b), is a small positive number. The problem is solvable by offline global optimal control methods including dynamic programming (DP) [35]- [37] and Pontryagin's minimum principle (PMP) [24], [38], [39]. Since the offline methods rely on accurate dynamic model and the full knowledge of the drive cycle, and are expensive in computation time and memory consumption, they are not suitable for real-time feedback control with embedded microprocessors.…”
Section: The Optimal Control Problemmentioning
confidence: 99%