Strategy optimization of a solar car for a long-distance race using Big Bang &amp;#x2014; Big Crunch optimization

Yeşil, Engin; Onol, Aykut Ozgun; Icke, Arif; Atabay, Orhan

doi:10.1109/cinti.2013.6705253

Cited by 11 publications

(9 citation statements)

References 12 publications

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“…While their model does not consider acceleration forces, it does recognize the three fundamental force components, as well as the electrical motor, solar array, and battery characteristics. Researchers from Istanbul Technical University showed that a theoretical Big Bang-Big Crunch optimization approach [6] is realistic for use at the BWSC. Although the results are satisfactory, the methods were of a purely simulative nature only.…”

Section: A Existing Workmentioning

confidence: 99%

Solar Electric Vehicle Energy Optimization for the Sasol Solar Challenge 2018

et al. 2019

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This research combines a set of optimization algorithms with methods of finding and using the expected values of forecasted weather variables to create an optimal speed profile for a solar electric vehicle to minimize energy usage while traveling the furthest distance during the Sasol Solar Challenge 2018 as such work has not been formalized yet. Various Probability Mass Functions describe and apply the probabilistic characteristics of the solar irradiance to the forecasted weather data to increase the probability of better accuracy. These algorithms and Probability Mass Functions are implemented and tested in an international event on South African national roads across a vast distance of 2396 km under varying weather conditions and challenging route topography. The two algorithms under discussion: the first for high-resolution single day optimization of stored energy (by controlling the vehicle speed) and the second for multiple-day lower resolution distance optimization (by controlling the amount of additional road to be traveled each day). The results are meaningful in predicting the energy required by a solar electric vehicle traveling along a route in South Africa, and the importance of the optimal speed requirements to attain the best results is shown to be essential. The authors of this paper believe that implementing this work on the Sun Chaser III solar car, which competed in the Sasol Solar Challenge 2018, owe its position of first place among local teams, and fourth place internationally, to the accuracy and robustness of the work.INDEX TERMS Optimization, probability distribution, mathematical model, electric vehicles, sun chaser III, sasol solar challenge 2018.

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Section: A Existing Workmentioning

confidence: 99%

Solar Electric Vehicle Energy Optimization for the Sasol Solar Challenge 2018

et al. 2019

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“…In [29] authors propose a solar race car optimization based on weather forecast and velocity profile, determining the need for acceleration and deceleration throughout the race course in order to maximise the average velocity. Similar task is done in [30] as well, but the latter also includes somewhat more complex weather model and solar position algorithm.…”

Section: State Of the Artmentioning

confidence: 99%

“…Aiming at offering a framework for optimized city and intercity travel, SCORE's model relies on data which can be collected in a more regular fashion than the data for a race track [30]. Moreover, SCORE's output is the route, unlike the outputs of power management optimization systems having the velocity profile or enginegenerator power trajectory (in case of hybrid cars) as the output [13,29,30]. This does mean that SCORE should be extended so it covers the velocity control and/or hybrid vehicle power switching, but at this point the focus is on route selection.…”

Section: State Of the Artmentioning

confidence: 99%

Criteria for Solar Car Optimized Route Estimation

Hasičić

Bilic

Šiljak

2017

Microprocessors and Microsystems

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Abstract. This paper gives a thorough overview of Solar Car Optimized Route Estimation (SCORE), novel route optimization scheme for solar vehicles based on solar irradiance and target distance. In order to conduct the optimization, both data collection and the optimization algorithm itself have to be performed using appropriate hardware. Here we give an insight to both stages, hardware and software used and present some results of the SCORE system together with certain improvements of its fusion and optimization criteria. Results and the limited applicability of SCORE are discussed together with an overview of future research plans and comparison with state-of-the-art solar vehicle optimization solutions.

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“…The evolutionary algorithms are widely used on other optimization cases such as structural design [17] or multiobjective problems [18] with outstanding results. For solar cars, on 2013, Yesil et al [19] proposed an heuristic optimization using Big Bang-Big Crunch for the 2013 WSC, they do not compare the results with other methods and experimental validation is missing. Nevertheless they reported a satisfactory outcome with their implementation.…”

Section: Solar Car Racing Strategymentioning

confidence: 99%

“…An alternative evolutionary optimization method already implemented on solar car strategy by Yesil et al [19] is called Big Bang-Big Crunch (BB-BC). It was first developed by Erol and Eksin on 2006 [34] reporting an efficiency improvement with respect to a general GA method.…”

Section: Big Bang-big Crunchmentioning

confidence: 99%

Heuristic Optimization for the Energy Management and Race Strategy of a Solar Car

2017

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Solar cars are known for their energy efficiency, and different races are designed to measure their performance under certain conditions. For these races, in addition to an efficient vehicle, a competition strategy is required to define the optimal speed, with the objective of finishing the race in the shortest possible time using the energy available. Two heuristic optimization methods are implemented to solve this problem, a convergence and performance comparison of both methods is presented. A computational model of the race is developed, including energy input, consumption and storage systems. Based on this model, the different optimization methods are tested on the optimization of the World Solar Challenge 2015 race strategy under two different environmental conditions. A suitable method for solar car racing strategy is developed with the vehicle specifications taken as an independent input to permit the simulation of different solar or electric vehicles.

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Strategy optimization of a solar car for a long-distance race using Big Bang — Big Crunch optimization

Cited by 11 publications

References 12 publications

Solar Electric Vehicle Energy Optimization for the Sasol Solar Challenge 2018

Solar Electric Vehicle Energy Optimization for the Sasol Solar Challenge 2018

Criteria for Solar Car Optimized Route Estimation

Heuristic Optimization for the Energy Management and Race Strategy of a Solar Car

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