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http://dx.doi.org/10.9723/jksiis.2020.25.2.039

Energy Efficient Electric Vehicle Driving Optimization Method Satisfying Driving Time Constraint  

Baek, Donkyu (충북대학교 전자공학부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.25, no.2, 2020 , pp. 39-47 More about this Journal
Abstract
This paper introduces a novel system-level framework that derives energy efficient electric vehicle (EV) driving speed profile to extend EV driving range without additional cost. This paper first implements an EV power train model considering forces acting on a driving vehicle and motor efficiency. Then, it derivate the minimum-energy driving speed profile for a given driving mission defined by the route. This framework first formulates an optimization problem and uses the dynamic programming algorithm with a weighting factor to derive a speed profile minimizing both of energy consumption and driving time. This paper introduces various weighting factor tracking methods to satisfy the driving time constraint. Simulation results show that runtime of the proposed scaling algorithm is 34% and 50% smaller than those of the binary search algorithm and greedy algorithm, respectively.
Keywords
Electric vehicle(EV); Driving speed profile; Dynamic programming method; Weighting factor;
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