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.

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).

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, ….).

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.

Modalità di esame: Prova orale facoltativa; Prova scritta tramite PC con l'utilizzo della piattaforma di ateneo;

The final exam aims to verify the acquisition of knowledge and objective teaching skills (described in the field Expected learning outcomes) through a written test consisting of 14 questions, relating to all the topics of the lessons and workshops . Maximum score of the test is 27 (out of 30) and is done considering a) the correctness of the answers, b) the relevance of the information provided, c) the ability to respond clearly, precisely and rationally, adequately motivating the arguments produced. The test might also include the request to solve problems to verify the ability to analyze practical situations and apply knowledge in particular contexts of use. The time available to the student for the written test is 2 hours and it is not possible to consult teaching materials, notes or other texts. The final mark is composed of the evaluation of the written and, at the choice of the student or by free decision of the teacher, in the case in which it is appropriate to deepen it, by the vote of an oral test (which can change the mark both positively - up to 30/30 - and in negative). As a rule, the oral part of the exam must be taken in the session in which the written exam was passed.

Modalità di esame: Prova orale facoltativa; Prova scritta tramite PC con l'utilizzo della piattaforma di ateneo;

The final exam aims to verify the acquisition of knowledge and objective teaching skills (described in the field Expected learning outcomes) through a written test consisting of 14 questions, relating to all the topics of the lessons and workshops . Maximum score of the test is 27 (out of 30) and is done considering a) the correctness of the answers, b) the relevance of the information provided, c) the ability to respond clearly, precisely and rationally, adequately motivating the arguments produced. The test might also include the request to solve problems to verify the ability to analyze practical situations and apply knowledge in particular contexts of use. The time available to the student for the written test is 2 hours and it is not possible to consult teaching materials, notes or other texts. The final mark is composed of the evaluation of the written and, at the choice of the student or by free decision of the teacher, in the case in which it is appropriate to deepen it, by the vote of an oral test (which can change the mark both positively - up to 30/30 - and in negative). As a rule, the oral part of the exam must be taken in the session in which the written exam was passed.