<div> In recent decades as environmental concerns and the cost and availability of fossil fuels have become more pressing issues, the need to extract more work from each drop of fuel has increased accordingly. Electrification has been identified as a way to address these issues in vehicles powered by internal combustion engines, as it allows existing engines to be operated more efficiently, reducing overall fuel consumption. Two applications of electrification are discussed in the work presented: a series-electric hybrid powertrain from an on-road class 8 truck, and an electrically supercharged diesel engine for use in the series hybrid power system of a wheel loader.</div><div> </div><div> The first application is an experimental powertrain developed by a small start-up company for use in highway trucks. The work presented in this thesis shows test results from routes along (1) Interstate 75 between Florence, KY, and Lexington, KY, and (2) Interstates 74 and 70 east of Indianapolis, during which tests the startup collected power flow data from the vehicle's motor, generator, and battery, and three-dimensional position data from a GPS system. Based on these data, it was determined that the engine-driven generator provided an average of 15% more propulsive energy than required due to electrical losses in the drivetrain. Some of these losses occured in the power electronics, which are shown to be 82% - 92% efficient depending on power flow direction, but the battery showed significant signs of wear, accounting for the remainder of these electrical losses. Overall, most of the system's fuel savings came from its regenerative braking capability, which recaptured between 3% and 12% of the total drive energy output. Routes with significant grade changes maximize this energy recapture percentage, but it is shown minimizing drag and rolling resistance with a more modern truck and trailer could further increase this energy capture to between 8% and 18%.</div><div> </div><div> In the second application, an electrified air handling system is added to a 4.5L engine, allowing it to replace the 6.8L engine in John Deere's 644K hybrid wheel loader. Most of the fuel savings arise from downsizing the engine, so in this case an electrically driven supercharger (eBooster) allows the engine to meet the peak torque requirements of the larger, original engine. In this thesis, a control-oriented nonlinear state space model of the modified 4.5L engine is presented and linearized for use in designing a robust, multi-input multi-output (MIMO) controller which commands the engine's fueling rate, eBooster, eBooster bypass valve, exhaust gas recirculation (EGR) valve, and exhaust throttle. This integrated control strategy will ultimately allow superior tracking of engine speed, EGR fraction, and air-fuel ratio (AFR) targets, but these performance gains over independent single-input single-output control loops for each component demand linear models that accurately represent the engine's gas exchange dynamics. To address this, a physics-based model is presented and linearized to simulate pressures, temperatures, and shaft speeds based on sub-models for exhaust temperature, cylinder charge flow, valve flow, compressor flow, turbine flow, compressor power, and turbine power. The nonlinear model matches the truth reference engine model over the 1200 rpm - 2000 rpm and 100 Nm - 500 Nm speed and torque envelope of interest within 10% in steady state and 20% in transient conditions. Two linear models represent the full engine's dynamics over this speed and torque range, and these models match the truth reference model within 20% in the middle of the operating envelope. However, specifically at (1) low load for any speed and (2) high load at high speed, the linear models diverge from the nonlinear and truth reference models due to nonlinear engine dynamics lost in linearization. Nevertheless, these discrepancies at the edges of the engine's operating envelope are acceptable for control design, and if greater accuracy is needed, additional linear models can be generated to capture the engine's dynamics in this region.</div>

<div>The commercial vehicle sector is an important enabler of the economy and is heavily dependent on fossil fuels. In the fight against climate change, reduction of emissions by improving fuel economy is a key step for the commercial vehicle sector. Improving fuel economy deals with reducing energy losses from fuel to the wheels. This study aims to analyze efficiency improvements for two systems that are important in reducing CO2 emissions - hybrid powertrains and natural gas engines. At first, a prototype series hybrid powertrain was analyzed based on on-highway data collected from its powertrain components. Work done per mile by the electrical components of the powertrain showed inefficient battery operation. The net energy delivery of the battery was close to zero at the end of the runs. This indicated battery was majorly used as an energy storage device. Roughly 15% of losses were observed in the power electronics to supply power from battery and generator to the motor. Ability of the hybrid system to capture regenerative energy and utilize it to propel the vehicle is a primary cause for fuel savings. The ability of this system to capture the regenerative energy was studied by modeling the system. The vehicle model demonstrated that the system was capturing most of the theoretically available regenerative energy. The thesis also demonstrates the possibility of reduction of vehicular level losses for the prototype truck. Drag and rolling resistance coefficients were estimated based on two coast down tests conducted. The ratio of captured regenerative to the drive energy energy for estimated drag and rolling resistant coefficients showed that the current system utilizes 4%-9% of its drive energy from the captured regenerative energy. Whereas a low mileage Peterbilt 579 truck could increase the energy capture ratio to 8%-18% for the same drive profile and route. Decrease in the truck’s aerodynamic drag and rolling resistance can potentially improve the fuel benefits.</div><div>The second study aimed to reduce the engine level pumping losses for a natural gas spark ignition engine by cylinder deactivation (CDA). Spark ignited stoichiometric engines with an intake throttle valve encounter pumping/throttling losses at low speed, low loads due to the restriction of intake air by the throttle body. A simulation study for CDA on a six cylinder natural gas engine model was performed in GT- Power. The simulations were ran for steady state operating points with a torque range 25-560 ftlbs and 1600 rpm. Two , three and four cylinders were deactivated in the simulation study. CDA showed significant fuel benefits with increase in brake thermal efficiency and reduction in brake specific fuel consumption depending on the number of deactivated cylinders. The fuel benefits tend to decrease with increase in torque. Engine cycle efficiencies were analyzed to investigate the efficiency improvements. The open cycle efficiency is the main contributor to the overall increase in the brake thermal efficiency. The work done by the engine to overcome the gas exchange during the intake and exhaust stroke is referred to the pumping losses. The reduction in pumping losses cause an improvement in the open cycle efficiency. By deactivating cylinders, the engine meets its low torque requirements by increase in the intake manifold pressure. Increased intake manifold pressure also resulted in reduction of the pumping loop indicating reduced pumping losses. A major limitation of the CDA strategy was ability to meet EGR fraction requirements. The increase in intake manifold pressure also caused a reduction in the delta pressure across the EGR valve. At higher torques with high EGR requirements CDA strategy was unable to meet the required EGR fraction targets. This limited the benefits of CDA to a specific torque range based on the number of deactivated cylinders. Some variable valve actuation strategies were suggested to overcome this challenge and extend the benefits of CDA for a greater torque range.</div><div><br></div>

Hela världen står inför nya utmaningar till följd av klimatförändringar. I syfte att mitigera människans påverkan på klimatet har den Europeiska unionen och Sverige som EU-land beslutat att fasa ut användningen av fossila drivmedel. Omställningen från fossildrivna fordon till eldrivna har påbörjats men Sverige är i dagsläget långt ifrån en fullständig omställning. Förutsättningen för att en hundraprocentig omställning skall vara möjlig är att en fungerande laddningsinfrastruktur är på plats och kan hantera det ökande behovet av laddning. I denna rapport studeras den nuvarande svenska laddningsinfrastrukturen och de faktorer som hämmar en fortsatt utveckling presenteras. Avslutningsvis redovisas det att satsning på publik- och hemmaladdning är viktiga faktorer i alla nivåer av omställning, insyn och samverkar är något som saknas idag och är något som måste finnas för att fullständig omställning skall vara möjlig. / The entire world is confronting new challenges as a result of climate change. To mitigate human impact on the climate, the European Union and Sweden, as an EU member state, have decided to phase out the use of fossil fuels. The transition from fossil-fueled vehicles to electric ones has commenced, but Sweden is currently far from achieving a complete transition. The prerequisite for a complete transition is the establishment of a functional charging infrastructure capable of handling the increasing demand for charging. This report examines the current state of the Swedish charging infrastructure, highlights the factors hindering further development, and concludes by outlining the necessary steps for the Swedish charging infrastructure to facilitate transitions of 50-, 75-, and 100-percent from fossil-fueled to electric vehicles. Based on this analysis, it is evident that investments in public and home charging are critical factors at all levels of transition. Transparency and collaboration are currently lacking but are essential elements that must be in place for a successful and complete transition.

Avec l’électrification des moyens de transport, nous constatons ces dernières années une augmentation de l’utilisation de l’électronique de puissance et de la puissance mise en jeu dans les véhicules électriques ou hybrides (VEH). A cela s’ajoute une intégration de cette électronique dans des milieux de plus en plus compacts, a conduit à l’apparition de problèmes de la compatibilité électromagnétique (CEM) et d’exposition aux champs électromagnétiques. Pour réduire les effets indésirables des champs électromagnétiques, le blindage électromagnétique est l’une des solutions envisageables. Ces travaux de thèse portent essentiellement sur le blindage magnétique basse fréquence en champ proche des boîtiers contenant des équipements d’électroniques de puissance. Généralement, les boîtiers sont équipés d’ouvertures et de fentes ce qui conduit à une dégradation des performances du blindage magnétique. Nous nous intéressons dans ces travaux de thèse au développement de modèles permettant la prédiction de l’efficacité de blindage magnétique en tenant compte des effets de la diffusion, des ouvertures et des fentes. Ces différents modèles permettront aux concepteurs de maitriser les contraintes liées au blindage magnétique des dispositifs d’électroniques embarquées à bord des véhicules. L’aptitude ou la capacité des méthodes numériques à résoudre les problèmes de diffusion des champs magnétiques dans les tôles minces en présence et en absence d'ouvertures est présentée. Dans le cas de boîtiers munis de fentes de faibles dimensions, des approches basées sur la méthode des moments magnétiques sont développées pour la prédiction de l’efficacité de blindage magnétique. Des bancs de test ont été développés pour valider ces modèles. Dans le cas de fentes de dimensions quelconques, des approches dites "hybrides" associant des méthodes numériques et analytiques ont été développées et validées expérimentalement. Les approches développées ont été appliquées dans le cadre de l’étude d’une application industrielle. / The electrification of transport means, in recent years leads to an increase of the use of the power electronics and the power involved in electric or hybrid vehicles (HEV). With the integration of electronic devices in more compact environments, appear problems of the electromagnetic compatibility (EMC) and the electromagnetic field exposure. To reduce the effects of electromagnetic fields, electromagnetic shielding is one of the possible solutions.This thesis focus mainly on the magnetic shielding at low frequency in near field of enclosures containing power electronics. Usually, the enclosures are equipped with openings and slots which results in degraded performance of the magnetic shield. We develop models for predicting the magnetic shielding taking into account the effects of diffusion, openings and slots.These models will allow designers to control the magnetic shielding constraints of embedded electronic devices in vehicles. The ability or capability of numerical methods to solve the problems of the magnetic fields diffusion in thin sheets in the presence and absence of openings is presented. In the case of enclosures with slots of small dimensions's, magnetic moments approaches are developed for the prediction of magnetic shielding effectiveness. Test benches are developed to validate these models. In the general case, so-called “hybrid” approaches combining the analytical and numerical methods are developed and experimentally validated. The developed approaches are also applied in the framework of an industrial application.

Two vehicular optimal control problems are visited. The first relates to the minimum lap time problem, which is of interest in racing and the second the minimum fuel problem, which is of great importance in commercial road vehicles. Historically, minimum lap time problems were considered impractical due to their slow solution times compared with the quasi-steady static (QSS) simulations. However, with increasing computational power and advancement of numerical algorithms, such problems have become an invaluable tool for the racing teams. To keep the solution times reasonable, much attention still has to be paid to the problem formulation. The suspension of a Formula One car is modelled using classical mechanics and a meta-model is proposed to enable its incorporation in the optimal control problem. The interactions between the aerodynamics and the suspension are thereby studied and various related parameters are optimised. Aerodynamics plays a crucial role in the performance of Formula One cars. The influence of a locally applied perturbation to the aerodynamic balance is investigated to determine if a compromise made in design can actually lead to lap time improvements. Various issues related to minimum lap time calculations are then discussed. With the danger of climate change and the pressing need to reduce emissions, improvements in fuel consumption are presently needed more than ever. A methodology is developed for fuel performance optimisation of a hybrid vehicle equipped with an undersized engine, battery and a flywheel. Rather than using the widely used driving cycles, a three-dimensional route is chosen and the optimal driving and power management strategy is found with respect to a time of arrival constraint. The benefits of a multi-storage configuration are thereby demonstrated. Finally, the nonlinear stability of a vehicle model described by rational vector fields is investigated using region of attraction (RoA) analysis. With the aid of sum-of-squares programming techniques, Lyapunov functions are found whose level sets act as an under-approximation to the RoA. The influence of different vehicle parameters and driving conditions on the RoA is studied.

The transportation sector consumes around 70% of all petroleum in the US. In recent years, there have been improvements in the efficiency of the vehicles, and hybrid techniques that have been used to improve efficiency for conventional combustion vehicles. Hydraulic systems have been used as an alternative to conventional electric regenerative systems with good results. It has been proven that hydraulic systems can improve energy consumption in conventional combustion vehicles and in refuse collection vehicles. The control strategy has a large impact on the performance of the system and studies have shown the control strategy selection should be optimized and selected based on application. The performance of a hydraulic accumulator was compared with the performance of a set of ultracapacitors with the same energy storage capacity. The energy efficiency for the ultracapacitor was around 79% and the energy efficiency of the hydraulic accumulator was 87.7%. The power/mass ratio in the set of ultracapacitors was 2.21 kW/kg and 2.69 kW/kg in the hydraulic accumulator. The cost/power ratio is 217 US$/kW in the ultracapacitors and 75 US$/kW in the hydraulic accumulator. Based on these results, the hydraulic accumulator was selected as the energy storage device for the system. A testbench was designed, modeled, implemented to test the energy storage system in different conditions of operation. The experimental results of the testbench show how system can be actively controlled for different operating conditions. The operating conditions in the system can be adjusted by changing the number of rheostats connected to the electric generator. Different variables in the system were measured such as the angular shaft speed in the hydraulic pump, the torque and speed in the hydraulic motor, the pressure in the system, the flow rate, and the current and voltage in the electric generator. The control algorithm was successfully implemented, the results for the pressure in the system and the angular speed in the electric generator show how the control system can follow a desired reference value. Two different controllers were implemented: one controller for the pressure in the system, and one controller for the speed.

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[ES] En los últimos años, la industria de la automoción ha hecho un gran esfuerzo para producir sistemas de propulsión más eficientes y menos contaminantes sin menguar su rendimiento. Las nuevas regulaciones impuestas por las autoridades han empujado a la industria hacia la electrificación de los sistemas de propulsión mientras que las tecnologías desarrolladas para el sistema de propulsión convencional, basado en motores de combustión interna alternativos (MCIA), ya no son suficientes. El modelado numérico ha demostrado ser una herramienta indispensable para el diseño, desarrollo y optimización de sistemas de gestión térmica en trenes motrices electrificados, ahorrando costes y reduciendo el tiempo de desarrollo. La gestión térmica en los MCIA siempre ha sido importante para mejorar el consumo, las emisiones y la seguridad. Sin embargo, es todavía más importante en los sistemas de propulsión híbridos, a causa de la complejidad del sistema y al funcionamiento intermitente del MCIA. Además, los trenes motrices electrificados tienen varias fuentes de calor (es decir, MCIA, batería, máquina eléctrica) con diferentes requisitos de funcionamiento térmico. El objetivo principal de este trabajo ha sido desarrollar modelos térmicos para estudiar la mejora de los sistemas de gestión térmica en sistemas de propulsión electrificados (es decir, vehículo híbrido), estudiando y cuantificando la influencia de diferentes estrategias en el rendimiento, la seguridad y la eficiencia de los vehículos. La metodología desarrollada en este trabajo consistió tanto en la realización de experimentos como en el desarrollo de modelos numéricos. De hecho, se llevó a cabo una extensa campaña experimental para validar los diferentes modelos del tren motriz electrificado. Los datos obtenidos de las campañas experimentales sirvieron para calibrar y validar los modelos así como para corroborar los resultados obtenidos por los estudios numéricos. En primer lugar, se estudiaron las diferentes estrategias de gestión térmica de manera independiente para cada componente del tren motriz. Para el MCIA se estudió el uso de nanofluidos, el aislamiento del colector y puertos de escape, así como el cambio de volumen de sus circuitos hidráulicos. De igual forma, se evaluó el impacto de diferentes estrategias para la mejora térmica de las baterías. Además, el modelo de máquina eléctrica se utilizó para desarrollar pruebas experimentales que emulaban el daño térmico producido en ciclos reales de conducción. En segundo lugar, los modelos de tren motriz se integraron utilizando un estándar de co-simulación para evaluar el impacto de un sistema de gestión térmica integrado. Finalmente, se implementó un nuevo control del sistema de gestión de energía para evaluar el impacto de considerar el estado térmico del MCIA al momento de decidir la distribución de potencia del vehículo híbrido. Los resultados han demostrado que el uso de nanofluidos tiene un impacto muy limitado tanto en el MCIA como en el comportamiento térmico de la batería. Además, también mostraron que al reducir el volumen de refrigerante en un 45 %, la reducción en el tiempo de calentamiento del MCIA y el consumo de combustible en comparación con el caso baso fue del 7 % y del 0.4 %, respectivamente. Además, para condiciones de frio (7ºC), el impacto fue todavía mayor, obteniendo una reducción del tiempo de calentamiento y del consumo de combustible del 13 % y del 0.5 % respectivamente. Por otro lado, los resultados concluyeron que durante el calentamiento del MCIA, el sistema integrado de gestión térmica mejoró el consumo de energía en un 1.74 % y un 3 % para condiciones de calor (20ºC) y frío (-20ºC), respectivamente. Esto se debe al hecho que el sistema de gestión térmica integrado permite evitar la caída de temperatura del MCIA cuando el sistema de propulsión está en manera eléctrica pura. / [CA] En els últims anys, la indústria de l'automoció ha fet un gran esforç per a produir sistemes de propulsió més eficients i menys contaminants sense minvar el seu rendiment. Les noves regulacions imposades per les autoritats han espentat a la indústria cap a l'electrificació dels sistemes de propulsió mentre que les tecnologies desenvolupades per al sistema de propulsió convencional, basat en motors de combustió interna alternatius (MCIA), ja no són suficients. El modelatge numèric ha demostrat ser una eina indispensable per al disseny, desenvolupament i optimització de sistemes de gestió tèrmica en trens motrius electrificats, estalviant costos i reduint el temps de desenvolupament. La gestió tèrmica en els MCIA sempre ha sigut important per a millorar el consum, les emissions i la seguretat. No obstant això, és encara més important en els sistemes de propulsió híbrids, a causa de la complexitat del sistema i al funcionament intermitent del MCIA. A més, els trens motrius electrificats tenen diverses fonts de calor (és a dir, MCIA, bateria, màquina elèctrica) amb diferents requisits de funcionament tèrmic. L'objectiu principal d'aquest treball va ser desenvolupar models tèrmics per a estudiar la millora dels sistemes de gestió tèrmica en sistemes de propulsió electrificats (és a dir, vehicle híbrid), estudiant i quantificant la influència de diferents estratègies en el rendiment, la seguretat i l'eficiència dels vehicles. La metodologia desenvolupada en aquest treball va consistir tant en la realització d'experiments com en el desenvolupament de models numèrics. De fet, es va dur a terme una extensa campanya experimental per a validar els diferents models del tren motriu electrificat. Les dades obtingudes de les campanyes experimentals van servir per a calibrar i validar els models així com per a corroborar els resultats obtinguts pels estudis numèrics. En primer lloc, es van estudiar les diferents estratègies de gestió tèrmica de manera independent per a cada component del tren motriu. Per al MCIA es va estudiar l'us de nanofluids, l'aïllament del col·lector i ports d'eixida així com el canvi de volum dels seus circuits hidràulics. D'igual forma, es va avaluar l'impacte de diferents estratègies per a la millora tèrmica de les bateries. A més, el model de màquina elèctrica es va utilitzar per a desenvolupar proves experimentals que emulaven el mal tèrmic produït en cicles reals de conducció. En segon lloc, els models de tren motriu es van integrar utilitzant un estàndard de co-simulació per a avaluar l'impacte d'un sistema de gestió tèrmica integrat. Finalment, es va implementar un nou control del sistema de gestió d'energia per a avaluar l'impacte de considerar l'estat tèrmic del MCIA al moment de decidir la distribució de potència del vehicle híbrid. Els resultats han demostrat que l'us de nanofluids té un impacte molt limitat tant en el MCIA com en el comportament tèrmic de la bateria. A més, també van mostrar que en reduir el volum de refrigerant en un 45 %, la reducció en el temps de calfament del MCIA i el consum de combustible en comparació amb el cas base va ser del 7 % i del 0.4 %, respectivament. A més, per a condicions de fred (-7ºC), l'impacte va ser encara major, obtenint una reducció del temps de calfament i del consum de combustible del 13 % i del 0.5 % respectivament. D'altra banda, els resultats van concloure que durant el calfament del MCIA, el sistema integrat de gestió tèrmica va millorar el consum d'energia en un 1.74 % i un 3 % per a condicions de calor (20ºC) i fred (-20ºC), respectivament. Això es deu al fet que el sistema de gestió tèrmica integrat permet evitar la caiguda de temperatura del MCIA quan el sistema de propulsió està en manera elèctrica pura. / [EN] In recent years, the automotive industry has made a great effort to produce more efficient and less polluting propulsion systems without diminishing their performance. The new regulations imposed by the authorities have pushed the industry towards the electrification of powertrains while, technologies developed for the conventional propulsion system based on alternative internal combustion engines (ICEs), are no longer sufficient. Numerical modeling has proven to be an indispensable tool for the design, development and optimization of thermal management systems in electrified powertrains, saving costs and reducing development time. Thermal management in ICEs has always been important for improving consumption, emissions and safety. However, it is even more important in hybrid powertrains, due to the complexity of the system and the intermittent operation of the ICE. In addition, electrified powertrains have various heat sources (i.e., ICE, battery, Electric machine) with different thermal operating requirements. The main objective of this work was to develop thermal models to study the improvement of thermal management systems in electrified powertrains (i.e., hybrid electric vehicle), shedding light and quantifying the influence of different strategies on performance, safety and efficiency of the vehicles. The methodology developed in this paper consisted both in carrying out experiments and in developing numerical models. In fact, an extensive experimental campaign was carried out to validate the various models of the electrified powertrain. The data obtained from the experimental campaigns served to calibrate and validate the models as well as to corroborate the results obtained by the numerical studies. Firstly, the different thermal management strategies were studied independently for each component of the powertrain. For the ICE, the use of nanofluids, insulation of exhaust manifold and ports as well as the volume change of its hydraulic circuits were studied. Similarly, the impact of different strategies for the thermal improvement of batteries was evaluated. Furthermore, the electric machine model was used for developing experimental tests which emulated the thermal damage produced in real driving cycles. Secondly, the powertrain models were integrated using a co-simulation standard to assess the impact of an integrated thermal management system. Finally, a new control energy management system was implemented to assess the impact of considering the ICE thermal state when deciding the power split of the hybrid vehicle. The results have shown that the use of nanofluids has a very limited impact on both the ICE and the battery's thermal behaviour. In addition, they also showed that by reducing the volume of coolant by 45 %, the reduction in ICE warm up time and fuel consumption compared to the base case were 7 % and 0.4 %, respectively. In addition, for cold conditions (-7ºC), the impact was even greater, obtaining a reduction in warm up time and fuel consumption of 13 % and 0.5 % respectively. On the other hand, the results concluded that during the warming of ICE, the integrated thermal management system improved energy consumption by 1.74 % and 3 % for warm (20ºC) and cold (-20ºC) conditions, respectively. This is because the integrated TMS makes it possible to prevent the ICE temperature drop when the powertrain is in pure electric mode. Finally, significant gains during Worldwide harmonized Light vehicles Test Cycles (WLTC) and Real Driving Emissions (RDE) cycles were observed when the ICE thermal state was chosen when deciding the power distribution. / The author would like to sincerely acknowledge the founding support pro- vided by Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital in the framework of the Ayuda Predoctoral GVA. (ACIF/2020/234). Additionally the author would also acknowledge the support provided by Renault S.A.S. / Dreif Bennany, A. (2023). Development of Integrated Models for Thermal Management in Hybrid Vehicles [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/194060