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You searched for subject:(Drive schedule). Showing records 1 – 2 of 2 total matches.

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Arizona State University

1. Abdelhay, Reem. EV Battery Performance in the Desert Area and Development of a New Drive Cycle for Arizona.

Degree: Engineering, 2018, Arizona State University

Commercial Li-ion cells (18650: Li4Ti5O12 anodes and LiCoO2 cathodes) were subjected to simulated Electric Vehicle (EV) conditions using various driving patterns such as aggressive driving, highway driving, air conditioning load, and normal city driving. The particular drive schedules originated from the Environment Protection Agency (EPA), including the SC-03, UDDS, HWFET, US-06 drive schedules, respectively. These drive schedules have been combined into a custom drive cycle, named the AZ-01 drive schedule, designed to simulate a typical commute in the state of Arizona. The battery cell cycling is conducted at various temperature settings (0, 25, 40, and 50 °C). At 50 °C, under the AZ-01 drive schedule, a severe inflammation was observed in the cells that led to cell failure. Capacity fading under AZ-01 drive schedule at 0 °C per 100 cycles is found to be 2%. At 40 °C, 3% capacity fading is observed per 100 cycles under the AZ-01 drive schedule. Modeling and prediction of discharge rate capability of batteries is done using Electrochemical Impedance Spectroscopy (EIS). High-frequency resistance values (HFR) increased with cycling under the AZ-01 drive schedule at 40 °C and 0 °C. The research goal for this thesis is to provide performance analysis and life cycle data for Li4Ti5O12 (Lithium Titanite) battery cells in simulated Arizona conditions. Future work involves an evaluation of second-life opportunities for cells that have met end-of-life criteria in EV applications.

Subjects/Keywords: Energy; Engineering; Arizona weather; Capacity degradation; Drive schedule; Electric Vehicle; Electrochemical Impedance Spectroscopy; Lithium Titanite

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Abdelhay, R. (2018). EV Battery Performance in the Desert Area and Development of a New Drive Cycle for Arizona. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/49260

Chicago Manual of Style (16th Edition):

Abdelhay, Reem. “EV Battery Performance in the Desert Area and Development of a New Drive Cycle for Arizona.” 2018. Masters Thesis, Arizona State University. Accessed December 15, 2019. http://repository.asu.edu/items/49260.

MLA Handbook (7th Edition):

Abdelhay, Reem. “EV Battery Performance in the Desert Area and Development of a New Drive Cycle for Arizona.” 2018. Web. 15 Dec 2019.

Vancouver:

Abdelhay R. EV Battery Performance in the Desert Area and Development of a New Drive Cycle for Arizona. [Internet] [Masters thesis]. Arizona State University; 2018. [cited 2019 Dec 15]. Available from: http://repository.asu.edu/items/49260.

Council of Science Editors:

Abdelhay R. EV Battery Performance in the Desert Area and Development of a New Drive Cycle for Arizona. [Masters Thesis]. Arizona State University; 2018. Available from: http://repository.asu.edu/items/49260

2. Brändström, Johan. Optimization for Train Energy Performance.

Degree: Division of Scientific Computing, 2014, Uppsala University

In many studies efforts are made to decrease the energy consumption of trains by optimizing their drive style, e.g. accelerate and brake optimally and regenerate electricity when braking. In other studies the goal is to distribute the run time between stations in an optimal way to decrease the energy consumption, given a relatively simple drive style. In this report the goal is to combine these two energy saving methods to obtain as low energy consumption as possible. By coupling one software containing a drive style optimizer with another software which by different optimization methods calculates the optimal run time distribution on a given track this is accomplished. The study also contains a comparison between drive styles, with the goal to find a relatively simple but energy efficient drive style. Finally the dependence between run time distribution and energy consumption is further analysed. The results show that by redistributing the run times the energy consumption can be decreased compared to previously existing time tables. They also show that a relatively simple drive style gives comparable energy consumption compared to the one obtained using a drive style optimizer. Finally the results show that the dependence between run time and energy consumption can be approximated with a simple second order equation.

Subjects/Keywords: Train Energy Optimization Drive Style Schedule Time Table

…investigated in this paper. The two main objectives are schedule improvement and drive style… …the time distribution in the schedule. Desired is to find a drive style that is both easily… …on lowering the energy consumption and optimizing the schedule and the drive style on a… …different ways, e.g. by optimizing drive style using energy saving methods or by distributing the… …run time between stations optimally. Schedule optimization is of great importance to train… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Brändström, J. (2014). Optimization for Train Energy Performance. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-237844

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Brändström, Johan. “Optimization for Train Energy Performance.” 2014. Thesis, Uppsala University. Accessed December 15, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-237844.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Brändström, Johan. “Optimization for Train Energy Performance.” 2014. Web. 15 Dec 2019.

Vancouver:

Brändström J. Optimization for Train Energy Performance. [Internet] [Thesis]. Uppsala University; 2014. [cited 2019 Dec 15]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-237844.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Brändström J. Optimization for Train Energy Performance. [Thesis]. Uppsala University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-237844

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.