A combined energy system model for solar racers

Schoeman, Stephanus; Carroll, Johnson

doi:10.1109/afrcon.2013.6757600

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…Only two sets of work have been published which focus on an energy management strategy or speed optimization of solar-powered vehicles competing in the Sasol Solar Challenge event. In 2013, the authors of [13] developed an energy model for their solar car and used Google Maps to retrieve the route data and, ultimately, Mathematica to find the highest average speed maintainable. The method allows for the computation of only a single day and not multiple days (the SSC is usually an eight-day challenge).…”

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. The weather model is a random walk around expected irradiance curve, while solar position is determined through the NREL (National Renewable Energy Laboratory) model.…”

Section: State Of the Artmentioning

confidence: 99%

“…In comparison to these solutions, SCORE has somewhat different purpose. 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].…”

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%

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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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Driving electric vehicles: As green as the grid

Gebrehiwot

Bossche

2015

Africon 2015

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A combined energy system model for solar racers

Cited by 5 publications

References 10 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

Driving electric vehicles: As green as the grid

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