Academic literature on the topic 'Vélo électrique'
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Journal articles on the topic "Vélo électrique"
Ravalet, Emmanuel, Dimitri Marincek, and Patrick Rérat. "Les vélos à assistance électrique : entre vélos conventionnels et deux-roues motorisés ?" Géo-Regards 12, no. 1 (2019): 93–112. http://dx.doi.org/10.33055/georegards.2018-2019.011-012.01.93.
Full text-ESPANET, C. "Prototype de vélo électrique utilisant un moteur-roue." Revue de l'Electricité et de l'Electronique -, no. 03 (2001): 46. http://dx.doi.org/10.3845/ree.2001.034.
Full textWelker, Joris, Jacques Cornuz, and Boris Gojanovic. "Le [b]vélo[/b] électrique : un outil pour la santé ou un gadget «écolo» ?" Revue Médicale Suisse 8, no. 349 (2012): 1513–17. http://dx.doi.org/10.53738/revmed.2012.8.349.1513.
Full textTheurel, J., and R. Lepers. "Réponses cardiovasculaires lors de la distribution du courrier postal avec un vélo à assistance électrique." Movement & Sport Sciences 73, no. 2 (2011): 33. http://dx.doi.org/10.3917/sm.073.0033.
Full textTheurel, J., and R. Lepers. "Réponses cardiovasculaires lors de la distribution du courrier postal avec un vélo à assistance électrique." Science & Motricité, no. 73 (April 7, 2010): 33–37. http://dx.doi.org/10.1051/sm/2010003.
Full textDaubigney, A., C. Azevedo Coste, B. Sijobert, J. Parent, and C. Fattal. "Stimulation électrique fonctionnelle et vélo couché : un apport rééducatif et récréatif dans la prise en charge du blessé médullaire." Kinésithérapie, la Revue 17, no. 184 (April 2017): 88. http://dx.doi.org/10.1016/j.kine.2017.02.099.
Full text"Le vélo à assistance électrique: une mode favorisant la mobilité?" PrimaryCare 12, no. 08 (April 25, 2012): 141–42. http://dx.doi.org/10.4414/pc-f.2012.09143.
Full textLópez-Escolano, Carlos, and Ángel Pueyo Campos. "Les mobilités émergentes après la Grande Récession : du vélo partagé à la trottinette électrique. Le cas de la ville de Saragosse (Espagne)." Belgeo, no. 4 (December 31, 2019). http://dx.doi.org/10.4000/belgeo.36240.
Full textRaux, Charles, Lény Grassot, Eric Charmes, Elise Nimal, and Marie Sévenet. "La mobilité quotidienne face à la contrainte carbone : Quelles politiques privilégier ?" Les Cahiers Scientifiques du Transport - Scientific Papers in Transportation 74 | 2018 (November 30, 2018). http://dx.doi.org/10.46298/cst.12179.
Full textYeh, Chao-Fu, Francis Papon, Sylvie Abours, and Claude Soulas. "Conditions for the development of electric two-wheelers in Shanghai." Les Cahiers Scientifiques du Transport - Scientific Papers in Transportation 58 | 2010 (November 30, 2010). http://dx.doi.org/10.46298/cst.12099.
Full textDissertations / Theses on the topic "Vélo électrique"
Grossoleil, David. "Etude de l'hybridation d'énergie humaine, synthèse de commandes minimisant l'énergie consommée par un vélo à assistance électrique." Limoges, 2014. https://aurore.unilim.fr/theses/nxfile/default/e64bb679-1855-427d-93c0-36b85f2dbe69/blobholder:0/2014LIMO4007.pdf.
Full textBicycle is a transportation mean whose major advantages with respect to individual cars are to decrease greenhouse effect and to improve the health of the rider. Electrically assisted bicycles (EAB) may impulse a technological breakthrough that would encourage massive modal shift from private car use to this virtuous transportation mode. The objective of this work is to improve the control of the assistance of the EAB with the conflicting objectives to maximize their autonomy while ensuring the rider comfort. This problem is formulated as an Optimal Control problem that minimizes the energy consumed under the constraint of an imposed average speed. The methodology is based on a multi-physics modeling of EAB and its rider. An instrumented EAB is used to calibrate an electro-mechanical modeling. The human behavior modeling is designed thanks to a literature study and measurements achieved on 14 cyclists. The human power behavior is modeled as a regulated power source. Control design is first based upon the Pontryagin’s Maximum Principle in the context of academic assumptions, it yields a reference solution. With weaker but more realistic assumptions, the control design is based on the Bellman’s Principle applied to a sampled problem. The problem is thus reformulated as finding an optimal path in an energy valued graph. The optimal path is found by an A* algorithm assisted by a well-adapted heuristic function. Moreover, a 18% reduction of the computation time is obtained by using an ad-hoc pruning method. Results show that the optimal control saves 12 % of energy and does not affect the cyclist’s behavior
Lahmani, Fatine. "Conception et optimisation de circuits électroniques communicants pour une intégration au format carte bancaire : application à une serrure de vélo à assistance électrique." Phd thesis, Université de Cergy Pontoise, 2014. http://tel.archives-ouvertes.fr/tel-01023711.
Full textAvina, Bravo Eli Gabriel. "Conception, développement et validation d'un système intelligent de mesure physiologique et biomécanique embarqué : Vélo à assistance électrique avec IA pour les interventions thérapeutiques et la prévention santé." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. https://theses.hal.science/tel-04651974.
Full textAccording to projections by the World Health Organization (WHO), it is estimated that by 2050, more than 22% of the global population will be aged 60 years or older. This demographic shift is accompanied by a growing prevalence of chronic diseases. In France, one in four individuals currently suffers from a chronic condition, a proportion that rises to three out of four among those aged 65 and above. These diseases significantly contribute to mortality, accounting for 74% of total deaths in 2019. Fortunately, many of these conditions can be prevented or delayed by adhering to the physical activity recommendations provided by the WHO. Extensive research has demonstrated the profound impact of physical activity on prolonging lifespan and enhancing overall quality of life across populations. With this perspective in mind, the research objectives of this study lie within the realm of Prognosis Health Management (PHM) and prescription sports, with a specific emphasis on the healthcare trajectory of patients with chronic conditions. However, the precise methodology for control, particularly the feedback mechanism pertaining to individuals' behavior during physical activity, remains to be delineated. To tackle this challenge, the project proposes the implementation of a connected medical device, specifically an electric-assisted bicycle integrated with embedded artificial intelligence. This combination aims to collect data and contribute to the prevention of chronic pathologies for individuals. The primary scientific endeavor entails designing and integrating an innovative and adaptable hardware and software architecture, incorporating state-of-the-art sensors that utilize flexible technology. This framework facilitates the monitoring of both occasional and experienced cyclists during their practice, enabling intelligent control of the level of electrical assistance and the implementation of medical instructions based on prior medical assessments