Elektroteknik (E2) // Electrical Engineering (E2)

Använd denna länk för att länka till samlingen:

https://odr.chalmers.se/handle/20.500.12380/12

Arbetar med hållbara och smarta lösningar på samhällsutmaningar, såsom energieffektivitet och elektrifiering inom områden från transport- och produktionssystem till kommunikationslösningar och medicinteknik.

Läs mer om våra utbildningar

För forskning och forskningspublikationer, se https://research.chalmers.se/organisation/elektroteknik/

At the department of Electrical Engineering research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering.

We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrification. Our knowledge is of use everywhere where there is advanced technology with integrated electronics, no matter if it involves electricity, electrical signals, optical signals or microwaves.

Studying at the Department of Electrical Engineering at Chalmers

For research and research output, please visit https://research.chalmers.se/en/organization/electrical-engineering/

Browse

Visar 1 - 18 av 18

Anisotropic temperature distribution within li-ion cells in EV batteries
(2020) Bidari, Saurabh; Chalmers tekniska högskola / Institutionen för elektroteknik; Thiringer, Torbjörn
Asymmetry mitigation by steering
(2019) Karyotakis, Konstantinos-Ektor; Marinos, Christos; Chalmers tekniska högskola / Institutionen för elektroteknik; Chalmers University of Technology / Department of Electrical Engineering
Battery Electric Vehicle with a Fuel Cell Stack
(2019) Wang, Shaohang; Xu, Yiwen; Chalmers tekniska högskola / Institutionen för elektroteknik; Chalmers University of Technology / Department of Electrical Engineering
In this thesis project, a complete fuel cell system submodel, including a fuel cell stack, supplying system, and water management system was modelled. One Fuel Cell Plug-in Hybrid Electric Vehicle (FC-PHEV) and one Fuel Cell Hybrid Electric Vehicle (FC-HEV) model, as well as different components and control strategies, were also implemented in the GT-Suite software to simulate the hydrogen consumption under various driving cycles and scenarios. Furthermore, a cost analysis model is also developed to determine the optimal battery size for the FC-PHEV. Finally, a cost comparison among FC-PHEV, FC-HEV, and Battery Electric Vehicle (BEV)was made based on current data available from the U.S market. The Fuel Cell-PHEV model and the Fuel Cell-HEV model are validated against the WLTC and NEDC driving cycles. The functionality of the main control units is also evaluated. The simulation results show that: For the Fuel Cell-PHEV, the combined hydrogen consumption is 0.29 kg/100 km for NEDC, and 0.34 kg/100 km for WLTC. For the Fuel Cell-HEV, the hydrogen consumption is 0.68 kg/100 km for NEDC, and 0.82 kg/100 km for WLTC. The results of the initial cost comparison of energy source, based on current data show the ranking from the cheapest to the most expensive is FC-HEV, FC-PHEV, and BEV. The ranking of the total cost of ownership, including running cost from the cheapest to the most expensive is FC-PHEV, BEV, and FC-HEV. Overall, the Fuel Cell Plug-in Hybrid Electric Vehicle could be the best choice based on the current data.
Battery electric vehicle with a fuel cell stack
(2019) Wang, Shaohang; Xu, Yiwen; Chalmers tekniska högskola / Institutionen för elektroteknik; Chalmers University of Technology / Department of Electrical Engineering
Control of an electric vehicle powertrain to mitigate shunt and shuffle
(2016) Hermansson, Victor; Moparthi, Kedarnath; Chalmers tekniska högskola / Institutionen för signaler och system; Chalmers University of Technology / Department of Signals and Systems
Development of a parameterized passenger vehicle model for longitudinal dynamics for a desktop driving simulator
(2014) Santoro, Matteo; Chalmers tekniska högskola / Institutionen för signaler och system; Chalmers University of Technology / Department of Signals and Systems
Development of an adaptive air/fuel controller
(2019) Dwarakanath, Shreyas; Ilisei, Samuel; Chalmers tekniska högskola / Institutionen för elektroteknik; Chalmers University of Technology / Department of Electrical Engineering
Development of energy-optimal control strategies for a fully electric vehicle
(2014) Ferreira Parrilla, Alejandro; Chalmers tekniska högskola / Institutionen för signaler och system; Chalmers University of Technology / Department of Signals and Systems
Dual clutch transmission for plug-in hybrid electric vahicle
(2014) Upendra, Karthik; Chalmers tekniska högskola / Institutionen för signaler och system; Chalmers University of Technology / Department of Signals and Systems
Enhanced auto pilot for marine applications with adaptive speed control
(2017) Karlsson, Eric; Lundberg, Pontus; Chalmers tekniska högskola / Institutionen för elektroteknik; Chalmers University of Technology / Department of Electrical Engineering
Identification of Material Parameters in Lithium-ion Batteries
(2023) Talware, Pranav; Bijalwan, Aarushi; Chalmers tekniska högskola / Institutionen för elektroteknik; Thiringer, Torbjörn
Abstract As the world is shifting towards electric vehicles, there is a need for high performing batteries which can be achieved by studying the material parameters in a battery cell in order to understand its behavior. In this thesis work, half cells and 3-electrode cells are assembled with cell chemistries NMC111, NMC622 and NMC811 each as cathodes. Electrochemical techniques are used to estimate material parameters. Galvanostatic Intermittent Titration Technique(GITT) is performed on half cells and three electrode cells. Three methods are used to analyse the GITT results and obtain a range of diffusion coefficients. Electrochemical Impedance Spectroscopy (EIS) is performed on a 3-electrode cell, and the measurement is done between cathode and Li-reference ring. The results of the EIS are analysed using an equivalent circuit model resembling a physical cell. Diffusion coefficients are calculated from both GITT and EIS and a comparative study is presented for each cell chemistry. Some other parameters like the double layer capacitance, exchange current density and cathode electrolyte interface capacitance are also estimated from EIS and a comparative study between different cell chemistries is presented. The diffusion coefficients from GITT are in the order of 10−15 [m2/s] whereas from the EIS test, it is in the order of 10−12[m2/s].
Modeling GNSS Errors in Urban Canyons with Ray Tracing
(2022) Song, Shiyao; Jiang, Ruixua; Chalmers tekniska högskola / Institutionen för elektroteknik; Wymeersch, Henk
Modelling and Simulation of DC/DC Converter-Based Active Cell Balancing for Battery Management Systems
(2023) GANGAMAGALA MAHANTHAPPA, VIKAS; SOLLAPURA VASANNA, SRINIDHI; Chalmers tekniska högskola / Institutionen för elektroteknik; Zou, Changfu; Li, Yang
Abstract The transition to sustainable transportation was initiated to mitigate the effects of global warming and decrease CO2 emissions. Electric vehicles are at the forefront of this revolution and rapid technological advancements have been made in the development of electric powertrain’s components, particularly lithium-ion (Li-ion) batteries. These breakthroughs have played a significant role in increasing vehicle performance and range, prompting automotive companies to accelerate their transition to more sustainable vehicles. Li-ion batteries are prominent in their specific energy and specific power while the battery pack comprises low-voltage battery cells connected in series and parallel to meet the voltage and current requirements of the electric vehicles. However, since the cells are limited by voltage and capacity, a serious inconsistency between the cell’s voltage and state of charge (SoC) is generated because of the manufacturing inconsistencies of the individual cells in the battery pack. This leads to growth over time after a number of charging and discharging cycles because of different self-discharge rates, internal resistance, and operating temperature, which will affect the efficiency and life of the entire battery pack. It has become inevitable to keep the cells balanced to achieve the effective usage of energy and to enhance the battery life. This thesis starts with a comprehensive literature study and investigation of different types of cell balancing techniques with a focus on converter-based active balancing. A choice has been made after evaluating the performance and suitability of different converters considering the balancing method, balancing speed, balancing time, and control complexity. In MATLAB/Simulink, a bi-directional buck-boost converter was designed and simulated by integrating with the battery string, performing energy exchange between cells with different SoCs using a state-space modeling approach and cascaded PID control. An easy-to-implement and effective algorithm has been developed, tested, and validated to perform the balancing action in various operating scenarios.
Optimal torque split strategy for BEV power train considering thermal effects
(2021) Raj, Avanish; Chalmers tekniska högskola / Institutionen för elektroteknik; Gros, Sebastian
Optimizing HEV fuel efficiency using cloud stored data
(2013) Nordahl, Patrik; Åkerblom, Niklas; Chalmers tekniska högskola / Institutionen för signaler och system; Chalmers University of Technology / Department of Signals and Systems
Road friction estimation using machine learning
(2019) Chen, Shuangshuang; Chalmers tekniska högskola / Institutionen för elektroteknik; Chalmers University of Technology / Department of Electrical Engineering
Slippery road detection
(2013) Bengtsson, Marcus; Skaloud, Christopher; Chalmers tekniska högskola / Institutionen för signaler och system; Chalmers University of Technology / Department of Signals and Systems
Virtual vehicle modeling architecture with centralized control
(2019) Majdandzic, Mario; Sousthanamath, Pooja; Chalmers tekniska högskola / Institutionen för elektroteknik; Chalmers University of Technology / Department of Electrical Engineering

Browse

Browsar Elektroteknik (E2) // Electrical Engineering (E2) efter Program "Automotive engineering (MPAUT), MSc"

Sökresultat per sida

Sortera efter