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

Betancur, Esteban; Osorio-Gómez, Gilberto; Rivera, Juan Carlos

doi:10.3390/su9101576

Cited by 12 publications

(9 citation statements)

References 28 publications

(27 reference statements)

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“…The Halmstad University engineering students in the HUST Project were challenged to design and build a solar-powered car that they could race in the 2019 BWSC and now a new group is working with the aim to participate in autumn 2023. The BWSC is a biannual, international event in which solar-powered cars compete in a race of 3000 kilometres in the Australian outback from Darwin to Adelaide (Betancur et al , 2017). In 2017, engineering students at the university were invited to join the HUST Project although at the time the project had no designs, no budget and no suitable infrastructure.…”

Section: Resultsmentioning

confidence: 99%

Applied engineering education for soft skills in the context of sustainability and mobility

Tell

Hoveskog

2022

IJSHE

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Purpose The purpose of this paper is to address the need to rethink the traditional approach to education in the university engineering curriculum. The paper examines two engineering projects led by university students in Sweden: the design and construction of a solar-powered car taking part in the Bridgestone World Solar Challenge and the creation of a business model for the ownership phase of an electric car together with Polestar. Design/methodology/approach An extensive literature review was conducted. Students were interviewed and surveyed on their impressions of their learning experience in the two projects and student logbooks reviewed. Problem-based learning (PBL), the Conceiving, Designing, Implementing and Operating approach and the ABCD procedure are used. Results are compared to theories from the literature. Findings PBL in real-world settings can increase engineering students’ technical knowledge and improve their technical skills as they solve complex problems or propose solutions to such problems. Such projects also strengthen students’ commitment, self-confidence and self-esteem as well as promote co-operation and creativity. These are soft skills largely absent from traditional engineering education. Practical implications Innovative, student-led learning in the applied engineering curriculum can foster students’ soft skills in ways that teacher-led, lecture-style learning does not. Originality/value This research offers a timely perspective on an issue of current interest in engineering education: student-led learning versus teacher-led learning. The paper also provides two illustrative student-led projects that focus on sustainability and mobility.

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Section: Resultsmentioning

confidence: 99%

Applied engineering education for soft skills in the context of sustainability and mobility

Tell

Hoveskog

2022

IJSHE

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“…(3) When calculating air cooling, it must be taken into account that relatively high values of the heat transfer coefficient can be achieved with the turbulent air flow regime, with the values of the Reynolds criterion of Re>10 4 .…”

Section: Discussionmentioning

confidence: 99%

“…Solar car racing [4][5][6] competitions are held each year. The goal of one of them -«American Solar Challenge 2018»is to overcome the distance of 2866 kilometers in the minimum time.…”

Section: Introductionmentioning

confidence: 99%

Cooling of a battery pack of a car, working on renewable energy

et al. 2018

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The aim of the work is to choose a method of a solar car battery cooling. The student engineering team of Peter the Great Petersburg Polytechnic University designs the car. The analysis of the electrical circuit of the battery is carried out, the heat release is estimated due to three factors. According to the conditions of reliable operation of the battery, it is necessary to maintain its temperature range below 45°C, which requires cooling. The paper analyzes the possibilities of liquid, air-cooling, compares the free and forced methods of convective heat transfer. For the normal operating mode of the electric vehicle, environmental temperature at the level up to 38°C, a criterion thermal engineering calculation of the forced air-cooling of the corridor assembly of 405 battery cells providing the required heat dissipation is performed. It is shown that relatively high values of the heat transfer coefficient are provided under turbulent flow conditions characterized by Reynolds criteria above 103. On the basis of an analysis of the steady-state stationary heat-removal regime, it was concluded that an air flow provides a temperature gradient, sufficient for cooling the lithium-ion battery of a Solar Car «Polytech Solar».

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“…In [4], they introduce a lap strategy optimisation method based on a Big Bang -Big Crunch approach for Solar cars in long-distance races. Finally, for Solar cars, heuristic methods are compared in [5]. One of the implemented methods is Genetic Algorithms, which is adopted in our framework.…”

Section: Related Workmentioning

confidence: 99%

Competitors-Aware Stochastic Lap Strategy Optimisation for Race Hybrid Vehicles

Braghin¹,

Paparusso²,

Riani³

et al. 2022

Preprint

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World Endurance Championship (WEC) racing events are characterised by a relevant performance gap among competitors. The fastest vehicles category, consisting in hybrid vehicles, has to respect energy usage constraints set by the technical regulation. Considering absence of competitors, i.e. traffic conditions, the optimal energy usage strategy for lap time minimisation is typically computed through a constrained optimisation problem. To the best of our knowledge, the majority of state-of-the-art works neglects competitors. This leads to a mismatch with the real world, where traffic generates considerable time losses. To bridge this gap, we propose a new framework to offline compute optimal strategies for the powertrain energy management considering competitors. Through analysis of the available data from previous events, statistics on the sector times and overtaking probabilities are extracted to encode the competitors' behaviour. Adopting a multi-agent model, the statistics are then used to generate realistic Monte Carlo (MC) simulation of their position along the track. The simulator is then adopted to identify the optimal strategy as follows. We develop a longitudinal vehicle model for the ego-vehicle and implement an optimisation problem for lap time minimisation in absence of traffic, based on Genetic Algorithms. Solving the optimisation problem for a variety of constraints generates a set of candidate optimal strategies. Stochastic Dynamic Programming is finally implemented to choose the best strategy considering competitors, whose motion is generated by the MC simulator. Our approach, validated on data from a real stint of race, allows to significantly reduce the lap time.

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

Cited by 12 publications

References 28 publications

Applied engineering education for soft skills in the context of sustainability and mobility

Applied engineering education for soft skills in the context of sustainability and mobility

Cooling of a battery pack of a car, working on renewable energy

Competitors-Aware Stochastic Lap Strategy Optimisation for Race Hybrid Vehicles

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