Estimation of the Energy Consumption of an Electric Utility Vehicle: A Case Study

Garrido-Silva, Gianina; Lázaro, Jessica Gissella Maradey; Quintero, Arly Darío Rincón; Lengerke, Omar; Sandoval-Rodríguez, C. L.; Cárdenas-Arias, C. G.

doi:10.1007/978-3-030-72212-8_19

Cited by 6 publications

(4 citation statements)

References 22 publications

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“…Among the driving cycles in the ADVISOR program, the two cycles most frequently used by automobile manufacturers are the New European Driving Cycle (NEDC) and the Worldwide Harmonised Light Vehicle (WLTC) [58]. The NEDC cycle was preferred until 2018, but the WLTC cycle was switched to WLTC driving because fuel consumption in conventional vehicles was lower in this cycle than in real life [59]. The WLTC driving cycle was deemed unsuitable for this study because of the excessive regenerative braking.…”

Section: Advisor Simulation Environmentmentioning

confidence: 99%

Fuzzy Logic-Based Energy Management System for Regenerative Braking of Electric Vehicles with Hybrid Energy Storage System

Şen,

Özcan,

Eker

2024

Applied Sciences

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Electric vehicles (EVs), which are environmentally friendly, have been used to minimize the global warming caused by fossil fuels used in vehicles and increasing fuel prices due to the decrease in fossil resources. Considering that the energy used in EVs is obtained from fossil resources, it is also important to store and use energy efficiently in EVs. In this context, recovery from a regenerative braking system plays an important role in EV energy efficiency. This paper presents a fuzzy logic-based hybrid storage technique consisting of a supercapacitor (SC) and battery for efficient and safe storage of a regenerative braking system. First, the constraints of the battery to be used in the EV for fuzzy logic control are identified. Then, the fuzzy logic system is created and tested in the ADVISOR and Siemens Simcenter Flomaster programs in the New European Driving Cycle (NEDC) driving cycle. A SC was selected for primary storage to prevent the battery from being continuously charged from regenerative braking, thus reducing its lifetime. In cases where the vehicle consumes more energy than the average energy consumption, energy consumption from the battery is reduced by using the energy stored in the SC, and the SC energy is discharged, making preparations for the energy that will come from the next regenerative braking. Thus, the high current values transferred to the battery during regenerative braking are effectively limited by the SC. In this study, the current values on the battery in the EV with a hybrid storage system decreased by 29.1% in the ADVISOR program and 28.7% in the Simcenter Flomaster program. In addition, the battery generated 46.84% less heat in the hybrid storage system. Thus, the heating and capacity losses caused by this current on the battery were minimized. The presented method provides more efficient energy management for EVs and plays an important role in maintaining battery health.

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Section: Advisor Simulation Environmentmentioning

confidence: 99%

Fuzzy Logic-Based Energy Management System for Regenerative Braking of Electric Vehicles with Hybrid Energy Storage System

Şen,

Özcan,

Eker

2024

Applied Sciences

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“…Cacao is the ripe fruit of the cocoa tree, which grows in the tropical regions of Africa and South America. Raw cocoa is one of the most nutritious foods in the world and has been shown to protect the body from free radicals, reduce stress and depression, and protect against heart disease and many types of cancer [1]- [4]. This health benefit of cocoa beans is often granted thanks to the presence of polyphenols.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a cocoa dryer prototype using LabVIEW software and Arduino hardware

Rincon-Quintero,

Del Portillo-Valdes,

Sandoval-Rodriguez

2023

Heritage and Sustainable Development

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In a country like Colombia, food drying plays an important role in the extension of technology so that farmers improve the quality of their productivity. The objective of this work is to develop a system for acquiring thermodynamic variables, to establish the energy efficiency of a product drying oven, specifically for cocoa beans using Arduino hardware and LabView software. This research begins by establishing the variables to be measured and recorded by the DHT11 sensors, such as temperature and humidity. These sensors are connected to an Arduino Uno board that has an Atmel microcontroller, which captures the information from each of these. An algorithm was also developed that captures the temperature and humidity data and sends it through the serial port to the LabView software, in which the visualization on the front panel and programming in the block diagram have been developed, being viewed from the HMI (Human Machine Interface). For the experimental tests, 3,309 grams of fermented cocoa beans were taken, and dried for 36 hours, removing a total mass of water of 1,650 grams. The results show an energy efficiency of 10.62%, concluding that the drying oven that takes advantage of the residual heat of an 18000 BTU condenser integrated with the proposed variable system is suitable for drying cocoa beans. Despite this efficiency being low, it meets the objective of removing moisture from them.

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“…Es imprescindible tener control sobre las variables del proceso, ya sea usando visión artificial, celdas de carga, poka yokes o estaciones de medición y chequeo visual que permitan garantizar la integridad del producto y la validez del proceso productivo [11], [12]. Otros estudios pueden incluir una evaluación energética buscando mejorar la eficiencia de recursos físicos de la locación como el de iluminación y pronosticar la demanda usando técnicas de inteligencia artificial [13], [14].…”

Section: Introductionunclassified

Diseño de un sistema automático de embotellado y sellado de botellas para jugos de 250 mm3

Maradey-Lázaro,

Rincón-Quintero,

Caballero-Moreno

et al. 2022

Científica

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Actualmente, la mayoría de los procesos de producción en la industria alimentaria requiere niveles de automatización altos, dada la precisión y el tiempo total consumido son las principales variables que influencian los costos de fabricación, la productividad, la competitividad y la satisfacción de los clientes. Este artículo pretende mostrar el diseño de un prototipo de sistema automático para embotellado y sellado de botellas específicamente de 250 mm3 incluyendo la definición de criterios de selección basados en el presupuesto planeado.

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Estimation of the Energy Consumption of an Electric Utility Vehicle: A Case Study

Cited by 6 publications

References 22 publications

Fuzzy Logic-Based Energy Management System for Regenerative Braking of Electric Vehicles with Hybrid Energy Storage System

Fuzzy Logic-Based Energy Management System for Regenerative Braking of Electric Vehicles with Hybrid Energy Storage System

Evaluation of a cocoa dryer prototype using LabVIEW software and Arduino hardware

Diseño de un sistema automático de embotellado y sellado de botellas para jugos de 250 mm3

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