The module aims at providing students with applied knowledge regarding the design and energy management of Hybrid Electric Vehicles (HEVs), Plug-in HEVs and Electric Vehicles.
The module aims at providing students with: 1) applied knowledge regarding the design and energy management of Hybrid Electric Vehicles (HEVs), Plug-in HEVs and Electric Vehicles; 2) knowledge of current and upcoming legislative framework for road vehicles.
A deep knowledge of the various aspects and methodologies that are involved in the design and energy management of hybrid and electric vehicles. Capability of evaluating and optimizing the variables that condition the powertrain performance in terms of CO2 emissions and fuel consumption (taking after treatment system and emission constraints into account).
A deep knowledge of the various aspects and methodologies that are involved in the design and energy management of hybrid and electric vehicles. Capability of optimizing the control strategy for energy management of electrified powertrain. Capabiity of carrying out multi-objective optimization of vehicle performance, in terms of CO2 emissions taking after treatment system, emission and performance constraints into account.
Operating principles and capability of estimating the performance of propulsion systems (internal combustion engines, electric motors) and on-board energy storage systems (batteries). Fundamentals of propulsion system installation on the vehicle. Fundamentals of vehicle cooling and thermal systems.
Operating principles and capability of estimating the performance of propulsion systems (internal combustion engines, electric motors) and on-board energy storage systems (batteries). Fundamentals of propulsion system installation on the vehicle. Fundamentals of vehicle cooling and thermal systems.
- Pollutant and CO2 emissions from road vehicles: classification of the pollutant species; legislative framework for fuel economy and CO2/GHG/pollutant emissions; overview of driving test cycles. Pollutant formation in spark-ignition and compression ignition engines: fundamentals. Regulatory constraints about fuel consumption and emissions the fundamental knowledge to understand the 2020+ technology trends (advanced ICEs, switch to alternative fuels, electrification) required to face the main environmental and energy challenges related to road transport (improve local air quality; lowering GHG emission, lowering dependence on imported oil, switching from oil to a more sustainable fuel).
- Vehicle energy analysis: overview of all power requirements at vehicle level, (i.e. not only powertrain but also cooling system, auxiliaries, HVAC, ?, and their impact on energy consumption), recovery potential (thermal - WHR ? and regenerative braking), thermal management.
- Recall on Hybrid architectures (depending on time alignment with e-pwt component course)
- Modelling hybrid and electric vehicles for energy optimization; forward and backward modelling;
- Characteristics of main power components: e-motor, ICE, energy storage (recall from/reference to other courses)
- Energy flow optimization (Causal: rule based; non causal: adaptive, dynamic programming optimization, ?.).
- Pollutant and CO2 emissions from road vehicles: classification of the pollutant species; legislative framework for fuel economy and CO2/GHG/pollutant emissions; overview of driving test cycles. Recall on pollutant formation in spark-ignition and compression ignition engines: fundamentals.
- Regulatory constraints about fuel consumption and emissions providing the fundamental knowledge to understand the 2020+ technology trends (advanced ICEs, switch to alternative fuels, electrification) required to face the main environmental and energy challenges related to road transport (improve local air quality; lowering GHG emission, lowering dependence on imported oil, switching from oil to a more sustainable fuel).
- Vehicle energy analysis: overview of all power requirements at vehicle level and their impact on energy consumption. Aftertreatment System architectures, conversion efficiency and light-off.
- Modelling hybrid and electric vehicles for energy optimization; forward and backward modelling;
- Energy flow optimization methods: rule based controllers; Equivalent Consumption Minimization Strategy (ECMS); deterministic dynamic programming; Pontryagin Minimum Principle (PMP); adaptive ECMS and adaptive PMP; AI-based controllers.
The course is structured as follows:
- 40 h of lectures
- 20 h of applied lectures that include the use and application of calculation tools to estimate performance of (P)HEVs and EVs
The course is structured as follows:
- 40 h of lectures
- 20 h of applied lectures that include the use and application of calculation tools to estimate performance of (P)HEVs and EVs
Didactic material such as notes diagrams and tables used during lectures and practical work are all uploaded on course website and available to students.
Didactic material such as notes diagrams and tables used during lectures and practical work are all uploaded on course website and available to students.
Slides; Video lezioni dell’anno corrente; Video lezioni tratte da anni precedenti; Strumenti di auto-valutazione;
Lecture slides; Video lectures (current year); Video lectures (previous years); Self-assessment tools;
Modalità di esame: Prova orale obbligatoria; Elaborato progettuale in gruppo;
Exam: Compulsory oral exam; Group project;
...
Before taking the exam specific reports about selected project activities have to be submitted for evaluation. Four (4) projects are assigned to each team during applied lectures, i.e. 4 reports have to be submitted. Deadline for the submission of each report is also established during applied lectures, In general, all reports have to be submitted before the start of summer examination session. If exam is not taken before the end of the current A.Y., a new project set has to be assigned, prepared and submitted.
The exam consists in two parts (both oral tests):
Part A: discussion of the report + one question (mainly about topics related to applied lecture) -> Score A (out of 30)
Parte B: one/two questions (mainly about topics discussed during lectures) ?> Score B (out of 30)
Baseline score (out of 30) =(𝐒𝐜𝐨𝐫𝐞 𝐀 + 𝐒𝐜𝐨𝐫𝐞 𝐁)/𝟐
Extra points: up to three, based on the global evaluation of the reports
Final score = Baseline score + extra points
Part A and part B have to be taken in the same day, one after the other
Average duration of exam (A+B): 1-1.5 h
Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.
Exam: Compulsory oral exam; Group project;
Team projects (Elaborato progettuale di gruppo)
At the beginning of the course, students will be divided in teams of two-three people. Each team has to carry out four (4) projects that are assigned during applied lectures. A report has to be submitted for evaluation for each project. , i.e. 4 reports have to be submitted. Deadlines for the submission of each report are established during applied lectures at the beginning of the course, so that all reports are submitted before the start of summer examination session. If exam is not taken before the end of the current A.Y., a new project set has to be assigned, prepared and submitted in the next A.Y..
After submission, each project will be evaluated with a score (out of 30). The score of each project and a detailed evaluation of the report will be published in due time, i.e. before the deadline for the next report, so that students can take suggestions into account before writing and submitting the report of the next project.
The resulting average score of all the projects will be published before the start of the 1st exam session after the end of the course.
Oral test (Prova orale obbligatoria)
The exam consists in an oral test with one/two questions about topics discussed during lectures. A discussion of the reports can be required.
Final score (out of 30) = (Project score + oral test score) / 2
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.