| Language of instruction : English |
| Exam contract: not possible |
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Sequentiality
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Advising sequentiality bound on the level of programme components
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Group 1 |
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Following programme components are advised to also be included in your study programme up till now.
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Electric drives (4353)
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3.0 stptn |
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Or group 2 |
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Following programme components are advised to also be included in your study programme up till now.
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Electric drives + (4356)
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6.0 stptn |
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| Degree programme | | Study hours | Credits | P2 SBU | P2 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | Master of Energy Engineering Technology (new) | Optional | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical |  |
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| | | Learning outcomes |
- EC
| EC1 - The holder of the degree thinks and acts professionally with an appropriate engineering attitude and continuous focus on personal development, adequately communicates, effectively cooperates, takes into account the economical, ethical, social and/or international context and is hereby aware of the impact on the environment. | | | - DC
| DC-M8 - The student can evaluate knowledge and skills critically to adjust own reasoning and course of action accordingly. | | | | - BC
| The student is critical about all the factors that affect the operation of an electric vehicle. The student is able to seek for valuable and reliable information. The student is critical about her/his own findings and is able to evaluate their relevance for the application. | - EC
| EC4 - The holder of the degree has advanced knowledge of and insight in the principles and applications in electrical engineering , possibly complemented with automation or material science and production, in which he/she can independently identify and critically analyse complex, practice-oriented design or optimisation problems, and methodologically create solutions with eye for data processing and implementation and with attention to the recent technological developments. | | | - DC
| DC-M3 - The student can recognize problems, plan activities and perform accordingly. | | | | - BC
| The student is able to understand and recognize the problems of mobility transition from conventional petrol vehicles to more electric and autonomous transport and the needs from the mechanical side. | | | - DC
| DC-M4 - The student can gather, measure or obtain information and refer to it correctly. | | | | - BC
| The student is able to get the information about electrical machines, transmissions, powertrains and to understand the importance of these components in electromobility. | | | - DC
| DC-M5 - The student can analyze problems, logically structure and interpret them. | | | | - BC
| The student can analyse the effect of technology selection in the operation of electric vehicles. The student can distinguish and logically interpret how each component in the analyses affect autonomy range and efficiency. | | | - DC
| DC-M7 - The student can use selected methods and tools to implement solutions and designs. | | | | - BC
| The student is able to implement the electrical and mechanical systems of an electric vehicle in a software tool. The student is able to run several study cases and analyse results. | | | - DC
| DC-M8 - The student can evaluate knowledge and skills critically to adjust own reasoning and course of action accordingly. | | | | - BC
| The student is critical about the results obtained by her/his own designs. The student is able to distinguish reliable results and to contrast them with the theory. | - EC
| EC5 - The holder of the degree has specialist knowledge of and insight in principles and applications within the domain of energy and power systems in which he/she can independently identify and critically analyse unfamiliar, complex design or optimisation problems, and methodologically create solutions with eye for data processing and implementation, with the help of advanced tools, aware of practical constraints and with attention to the recent technological developments. | | | - DC
| DC-M3 - The student can recognize problems, plan activities and perform accordingly. | | | | - BC
| The student is able to estimate the mobility transition from conventional petrol vehicles to more electric and autonomous transport and has knowledge and insight in the business model and the required infrastructure for electric mobility. | | | - DC
| DC-M4 - The student can gather, measure or obtain information and refer to it correctly. | | | | - BC
| The student is able to gather reliable information about the energy generation and consumption in the vehicle. The student can get information of power electronics and storage components. | | | - DC
| DC-M5 - The student can analyze problems, logically structure and interpret them. | | | | - BC
| The student understands how energy is used in the vehicle, can analyse the energy breakdown among the components, and can logically interpret the points where more energy consumption. | | | - DC
| DC-M7 - The student can use selected methods and tools to implement solutions and designs. | | | | - BC
| The student is able to design electric vehicles and their powertrains for different profiles, loads and boundary conditions. The student is able to integrate such designs in software tools and obtain reliable results. | | | - DC
| DC-M8 - The student can evaluate knowledge and skills critically to adjust own reasoning and course of action accordingly. | | | | - BC
| The student is critical about the results obtained from the software tools. The student is able to contrast the results with the theoretical and literature counterparts. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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Suggested (not mandatory): Basic knowledge of Electric Machines, Motor Drives, Power Electronics
Basic knowledge of calculation of electrical and magnetic circuits.
Basic knowledge of Matlab/SIMULINK
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The increasing global warming issues and the greenhouse emission of transportation systems and energy generation is promoting the development of alternative transportation methods and renewable energies. Although, the Electric Vehicle has had an important boost during the last decade, and still there are several challenges to increase its popularization. Consequently, knowledge in different areas is required: Battery Technology, Battery management systems, energy conversion, charging technology, charging infrastructure, etc.
This course will be given in Lectures and Software (Matlab or Python) sessions as follows:
Lecture:
- Technology introduction including energy for transportation
- Electric and hybrid vehicles
- Light Vehicles, Buses, Heavy rail, including high speed trains
- Light rail and Electric ships
- Electric Aircrafts
- Electric Vehicle design methods
- EV charger classification
- Location
- Power levels
- Functionalities
- Power transfer medium
- Standards and Regulation for fast EV chargers
- EV Charger Power Converter Topologies
- Autonomous Vehicles
- Business Models
Lab Matlab/Python: Design of an Electric Vehicle, storage technology, motor technology, autonomy, etc.
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Collective feedback moment ✔
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Lecture ✔
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Case study ✔
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Demonstration ✔
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Group work ✔
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Presentation ✔
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Report ✔
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Period 2 Credits 4,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 75 % |
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| Oral evaluation during teaching period | 25 % |
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| Other | Defense project for an internal jury |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Compulsory course material |
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Course material will be available on TOLEDO. |
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| Recommended course material |
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International Energy Agency, “Technology Collaboration Programme on Hybrid and Electric Vehicles (HEV TCP) Hybrid and Electric Vehicles The Electric Drive Chauffeurs” September 2017 |
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| Master of Electromechanical Engineering Technology optie automation | Optional | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical | |
| Master of Electromechanical Engineering Technology optie design & production | Optional | 108 | 4,0 | 108 | 4,0 | Yes | Yes | Numerical | |
|
| | | Learning outcomes |
- EC
| EC1 - The holder of the degree thinks and acts professionally with an appropriate engineering attitude and continuous focus on personal development, adequately communicates, effectively cooperates, takes into account the economical, ethical, social and/or international context and is hereby aware of the impact on the environment. | | | - DC
| DC-M8 - The student can evaluate knowledge and skills critically to adjust own reasoning and course of action accordingly. | | | | - BC
| The student is critical about all the factors that affect the operation of an electric vehicle. The student is able to seek for valuable and reliable information. The student is critical about her/his own findings and is able to evaluate their relevance for the application. | - EC
| EC4 - The holder of the degree has advanced knowledge of and insight in the principles and applications in automation, electrical engineering, mechanical design and materials and production, in which he/she can independently identify and critically analyse complex, practice-oriented design or optimisation problems, and methodologically create solutions with eye for data processing and implementation and with attention to the recent technological developments. | | | - DC
| DC-M3 - The student can recognize problems, plan activities and perform accordingly. | | | | - BC
| The student is able to understand and recognize the problems of mobility transition from conventional petrol vehicles to more electric and autonomous transport and the needs from the mechanical side. | | | - DC
| DC-M4 - The student can gather, measure or obtain information and refer to it correctly. | | | | - BC
| The student is able to get the information about electrical machines, transmissions, powertrains and to understand the importance of these components in electromobility. | | | - DC
| DC-M5 - The student can analyze problems, logically structure and interpret them. | | | | - BC
| The student can analyse the effect of technology selection in the operation of electric vehicles. The student can distinguish and logically interpret how each component in the analyses affect autonomy range and efficiency. | | | - DC
| DC-M7 - The student can use selected methods and tools to implement solutions and designs. | | | | - BC
| The student is able to implement the electrical and mechanical systems of an electric vehicle in a software tool. The student is able to run several study cases and analyse results. | | | - DC
| DC-M8 - The student can evaluate knowledge and skills critically to adjust own reasoning and course of action accordingly. | | | | - BC
| The student is critical about the results obtained by her/his own designs. The student is able to distinguish reliable results and to contrast them with the theory. | - EC
| EC5 - The holder of the degree has specialist knowledge of and insight in principles and applications within the domains of material science, production and mechanical design or the domain of automation in which he/she can independently identify and critically analyse unfamiliar, complex design or optimisation problems, and methodologically create solutions with eye for data processing and implementation, with the help of numerical simulation techniques or advanced tools, aware of potential mistakes, practical constraints and with attention to the recent technological developments. | | | - DC
| DC-M3 - The student can recognize problems, plan activities and perform accordingly. | | | | - BC
| The student is able to estimate the mobility transition from conventional petrol vehicles to more electric and autonomous transport and has knowledge and insight in the business model and the required infrastructure for electric mobility. | | | - DC
| DC-M4 - The student can gather, measure or obtain information and refer to it correctly. | | | | - BC
| The student is able to gather reliable information about the energy generation and consumption in the vehicle. The student can get information of power electronics and storage components. | | | - DC
| DC-M5 - The student can analyze problems, logically structure and interpret them. | | | | - BC
| The student understands how energy is used in the vehicle, can analyse the energy breakdown among the components, and can logically interpret the points where more energy consumption. | | | - DC
| DC-M7 - The student can use selected methods and tools to implement solutions and designs. | | | | - BC
| The student is able to design electric vehicles and their powertrains for different profiles, loads and boundary conditions. The student is able to integrate such designs in software tools and obtain reliable results. | | | - DC
| DC-M8 - The student can evaluate knowledge and skills critically to adjust own reasoning and course of action accordingly. | | | | - BC
| The student is critical about the results obtained from the software tools. The student is able to contrast the results with the theoretical and literature counterparts. |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Suggested (not mandatory): Basic knowledge of Electric Machines, Motor Drives, Power Electronics
Basic knowledge of calculation of electrical and magnetic circuits.
Basic knowledge of Matlab/SIMULINK
|
|
|
|
The increasing global warming issues and the greenhouse emission of transportation systems and energy generation is promoting the development of alternative transportation methods and renewable energies. Although, the Electric Vehicle has had an important boost during the last decade, and still there are several challenges to increase its popularization. Consequently, knowledge in different areas is required: Battery Technology, Battery management systems, energy conversion, charging technology, charging infrastructure, etc.
This course will be given in Lectures and Software (Matlab or Python) sessions as follows:
Lecture:
- Technology introduction including energy for transportation
- Electric and hybrid vehicles
- Light Vehicles, Buses, Heavy rail, including high speed trains
- Light rail and Electric ships
- Electric Aircrafts
- Electric Vehicle design methods
- EV charger classification
- Location
- Power levels
- Functionalities
- Power transfer medium
- Standards and Regulation for fast EV chargers
- EV Charger Power Converter Topologies
- Autonomous Vehicles
- Business Models
Lab Matlab/Python: Design of an Electric Vehicle, storage technology, motor technology, autonomy, etc.
|
|
|
|
|
|
|
|
|
Collective feedback moment ✔
|
|
|
|
Lecture ✔
|
|
|
|
|
|
|
|
Case study ✔
|
|
|
|
Demonstration ✔
|
|
|
|
Group work ✔
|
|
|
|
Presentation ✔
|
|
|
|
Report ✔
|
|
|
|
Period 2 Credits 4,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 75 % |
|
|
|
|
| Oral evaluation during teaching period | 25 % |
|
|
| Other | Defense project for an internal jury |
|
|
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
|
|
| Compulsory course material |
| |
Course material will be available on TOLEDO. |
|
|
| Recommended course material |
| |
International Energy Agency, “Technology Collaboration Programme on Hybrid and Electric Vehicles (HEV TCP) Hybrid and Electric Vehicles The Electric Drive Chauffeurs” September 2017 |
|
|
|
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1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.16.9, section 2. |
3 Education, Examination and Legal Position Regulations art.15.1, section 3.
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| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
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