This Knowledge or Content is obtained

RCO4: The graduate will be able to describe the fundamentals of modeling, simulation and control of systems, instrumentation, monitoring and communication technologies, as well as the equipment and systems for the automation of renewable energy facilities.

In addition, the subject provides the following Competence:

RC4: The graduate will be able to apply the strategies of scientific methodology: analyze the problematic situation qualitatively and quantitatively, propose hypotheses and solutions using the models of renewable energy engineering.

Learning outcomes

-The student:

1) Know the architecture and systems of an electric vehicle.

2) Design models of vehicle systems and their control.

3) Know and use laboratory testing equipment.

4) Know and use simulation and experimental programming tools.

5) Work in project development teams.



All learning results are observable and controllable, both in written form by solving exercises on paper (exercises, exams) and by solving exercises on a computer using the calculation/simulation/experiment software MatLab/Simulink, Code Composer Studio, MicroAutoBox , Kvaser, CANalyzer (exercises, exams).

The score on each section of each proposed exercise, in the different tests carried out, will show the knowledge acquired and learning results of the student, thus serving as a correction or feedback tool in case of obtaining unsatisfactory results. To this end, all the resolutions of the exercises proposed in the seminars (S), exams (EX) and laboratory practice test problems (GL) will be explained later in class.

Additionally, the following Skill or Dexterity is obtained:

HE5: The graduate will be able to work effectively as a team in a constructive manner, integrating skills and knowledge to make decisions.

The evaluation of this ability or skill will be carried out in all the activities of the subject.

Topic 1: Internal combustion engines. Gasoline and diesel engines. Work cycles. Emissions control. Environmental impact of transportation. Air pollution. Global warming. Petroleum resources. Costs. History of electric and hybrid vehicles.



Topic 2: Vehicle design and development. Development process. Modeling, simulation and implementation tools.



Topic 3: Vehicle dynamics. Dynamic model of the electric vehicle and its simulation. Motorization. Calculation of forces, torques and vehicle speeds.



Topic 4: PMSM (Permanent Magnet Synchronous Motor) motor vector control. Model in d-q reference system of the PMSM engine. Speed ​​control. Current control. Position control. Electromagnetic Torque Control. Controller tuning.



Topic 5: Traction of electric vehicles. Clutch, differential, gearbox, planetary gears. Different configurations of electric vehicle traction. Torque/power-speed curves. Flow weakening. Benefits. Calculation of speed ratio. Design of the electric traction of a vehicle.



Topic 6: Batteries and other energy sources. Batteries. Ultracapacitors. Flywheels. Hybrid solutions. Vehicles with fuel cells. Configurations and control strategies. Parametric design. Consumption.



Topic 7: Vehicle electronic control architecture. Distributed and centralized solutions. Traction systems, cabin, safety, diagnosis, information and others. Communication networks between systems. Automotive communication buses: CAN, LIN, Flexray, MOST, etc. Architecture and information flow of the CAN bus.



Topic 8: Hybrid vehicles. Concepts and architectures. Serial, parallel and microhybrids. Drive configurations of hybrid vehicles. Design principles and control strategies of the different configurations.



Topic 9: Performance and braking. Distribution of braking forces and energy recovery. Braking energy. Braking distribution. Control strategies.



Topic 10: Electronic address. Possible configurations. Security requirements for critical systems.

The teaching methodology of the new Degrees in Engineering is based on the philosophy of the popular Bologna agreement, which contemplates, in addition to the hours taught in class (face-to-face teaching), the hours worked by students outside of class (non-face-to-face teaching). ). All these work hours are counted in ECTS credits, where 1 ECTS credit is made up of 10 contact hours plus 15 non-contact hours.



In-person teaching is made up of Master classes (M), Seminars (S) and Laboratory Practices (GL). Learning strategies based on problems, simulations and real experiments are used.



In the Master classes, theoretical concepts will be explained above all, and some calculation exercises will also be carried out and proposed so that the students can do them both in the same class and at home individually.



The Seminars and Laboratory Practices will be carried out in the computer laboratory using the MatLab/Simulink calculation/simulation software and specific hardware programming software. The teacher will propose scripts of different cases of regulation of vehicle subsystems, and the students, organized in small groups, using the ingenuity and knowledge acquired so far, will design, simulate and experiment with their solutions. Depending on the proposed task, it may last more than one laboratory practice session and sometimes the students will have to finish them at home, which will contribute to the students' self-learning. In any case, the teacher will help during the process in the steps in which the groups need it, and at the end, he will evaluate the result proposed by each of the groups.



The tutoring hours serve the students so that the teacher, in their office, can resolve doubts and questions that have not been clear to them both in face-to-face classes and in non-face-to-face work hours. In no case are these private classes for people who do not regularly attend in-person classes.



In the event that health conditions prevent the carrying out of a teaching activity and/or in-person evaluation, a non-face-to-face modality will be activated of which the students will be promptly informed.

The evaluation will be done according to these two possible cases, which take into account the student's desire to do a continuous (1) or final (2) evaluation, and mandatory attendance at the practices:



1) Exam (EX, 40% of the final grade), computer practice reports (PO, 25% of the final grade), laboratory practices and delivery of notebooks (PL, 15% of the final grade) and deliverable exercises (EN, 20% of the final grade). The transversal competencies (CT, 5%) will be evaluated within the laboratory reports and notebooks. The final grade for this case will be calculated according to the following formula:



Final Note= 0.25*PO+0.15*PL+0.2*EN+0.4*EX



The computer practices (PO) will be based on simulations carried out on a computer and will be evaluated according to the reports prepared from them. The laboratory practices (LP) will be based on experiments carried out with specific hardware and will be evaluated according to the reports developed from these. The deliverable exercises (EN) will consist of problems posed to small groups of students to carry out and deliver to the teacher, and their period will be one deliverable every four or five weeks during the semester. The exam will be held in the middle of the semester and will evaluate the first topics of the syllabus and will basically consist of exercises to solve, and perhaps some theoretical questions. In order to pass the subject, it is required to have a minimum of 50% passed in each of the parts that make up the final grade.



Students who do not regularly attend the practices (a minimum of 90%), will not be evaluated according to case 1) and will automatically be evaluated according to case 2).



People who voluntarily do not wish to be evaluated according to case 1) and want to be evaluated according to case 2), have the right to do so as long as they request it in writing to the teacher responsible for the subject, within a maximum period of 9 weeks count from the beginning of the semester (article 8, section 1. of the Regulatory Regulations for the Evaluation of students in official Bachelor's degrees, 02/19/2020).



People who hinder or hinder the normal delivery of classes (by not being silent, by repeatedly arriving late, etc.), after two warnings, will not be able to attend class anymore and will directly be evaluated according to case 2).



2) Final exam, which will consist of a theoretical part (EX, 70% of the final grade) and a practical part (EP, 30% of the final grade). This case will apply to people who do not attend class (registered on their own) and also to students who do not regularly attend the different types of teaching. The final grade will be calculated using the following formula:



Final Grade= 0.7*EX+0.3*EP



The waiver of the evaluation call will be made, in the case of continuous evaluation, case 1), by means of a writing addressed to the professor who teaches the subject, within a period that will be at least one month before the end date of the course. teaching period of the subject, with “Not presented” appearing. In the case of final evaluation, case 2), failure to take the final official exam will mean automatic resignation from the corresponding call, with “Not presented” appearing (article 12, points 2. and 3., respectively, of the Regulatory Regulations). of the Evaluation of students in official Bachelor's degrees, 02/19/2020).

Various documents provided through the e-gela platform and Dropbox: course notes, practice scripts, documents from various manufacturers, tutorials on tools to use, etc.

Basic bibliography

-M. Ehsani, et al. "Modern Electric, Hybrid Electric, and Fuel Cell Vehicles Fundamentals,

Theory, and Design". CRC Press, Second Edition, 2010.

-N. Navet and F. Simonot-Lion. "Automotive Embedded Systems Handbook". CRC Press, 2009.

In-depth bibliography

-S. Dhameja. "Electric Vehicle Battery Systems". Newnes, 2002.
-J. Larminie and J. Lowry. "Electric Vehicle Technology Explained". Wiley, 2004.

Journals

-Bodo´s Power Systems. Electronics in Motion and Conversion (www.bodospower.com)
-IEEE SPECTRUM