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In India, B7 (a biodiesel mix of 7% by volume in diesel) has been approved for use in diesel engines. Due to the depletion of fossil fuel supplies and tight pollution requirements, alternative diesel fuel has become critical. However, given the properties of diesel, no direct renewable alternative fuel can totally replace diesel. As a result, one of the solutions may be to replace part of the diesel with ethanol. In this inquisition, the impact of various diesel-ethanol blends, counting ED7.7, ED10, ED15 and ED20, were examined on two in-use multi-cylinder engines complying to different emission norms. The two engines under consideration complies with CPCB-I and CPCB-II, which is an Indian legal requirement for stationary Genset engines. For both engines, a 5-mode steady-state test cycle was considered. For each mode, the engine’s performance characteristics, including power, torque, and BSFC, were tested and described.

Methanol fuel has attracted global attention from engine researchers since the crude oil crisis and the rise in crude oil prices in the recent years. As it is one of the possible alcoholic fuels after ethanol in an automotive application that can reduce dependence on crude oil. India has also initiated research studies on methanol since the 1980s. NITI Aayog is encouraging the use of methanol as an automotive fuel for transport sector. This desktop study includes the potentiality of methanol as an automotive fuel and the methanol roadmap for India as a biofuel in the conventional gasoline application. It has been seen that Methanol has the potential to be used as a fuel in automobiles to replace gasoline or crude oil-based fuels in terms of engine performance. According to a study, India’s methanol promotion measures will encourage more enterprises to invest in the research and construction of methanol producing plants and development of methanol-fueled engines.

The Light commercial vehicle (LCV) is primarily used for the last mile delivery and it hold the volume share of around 61% in the commercial vehicle segment. The last mile delivery services have seen a massive surge after the CoVID 19 pandemic resulting is the increase sale of LCV in last few years and is expected to grow further by 8-11% in the coming years. However, city logistic is also responsible for most pollution and noise in the city. Hence, policymakers are aiming to reduce carbon footprint by promoting the use of Electric vehicle by providing incentive to automakers though schemes like FAME I and FAME II. In order to effectively reduce the carbon footprint within city it is important to increase the use of new electric vehicle and convert the old polluting vehicles to electric. Hence, a retro fitment solution for converting used LCV to electric can help in reducing emission as well as noise pollution. Later the same solution can be offered as OE fitment solution.

Researchers are under pressure to investigate and discover ways to improve the efficacy and reduce emissions from ICE due to the depletion of energy resources and the growing concern over global warming. Hydrogen is viewed as a promising fuel and has been investigated as a potential fuel in combustion because to several desirable qualities like carbon-less content and strong flammability limitations. When equated to other alternative fuels like LPG, CNG, LNG, etc., hydrogen has inimitable qualities because it lacks carbon, making it one of the promising alternatives fuels. In order to achieve zero CO2 emissions for traffic applications in the near future, hydrogen being an automotive fuel in ICE is a solution. The ICE powered by hydrogen is prepared for that. The actual drawbacks of using hydrogen in ICE generally are manufacturing, storage, and development of the requisite infrastructure. Hydrogen can be produced in its many forms.

Battery is one of the safety critical systems in EV. As the number of EVs increases, battery safety becomes an important task to avoid any mishap during its use, as even small accidents may slow down the adaptation of EVs. Automotive environment being one of the harshest operating environments, it is important to ensure both mechanical and electrical safety of the battery pack. Li-Ion batteries are most popular among traction batteries, due to their high energy density, long life, and fast charging capabilities. But mechanical damage, over temperature, short-circuit, etc. may lead to battery thermal runaway, causing a major accident. Mechanical abuse of battery can be one of the reasons that may lead to the damages mentioned above, eventually causing thermal runaway in batteries. That’s why all major battery safety standards have requirements for vibration and mechanical shock tests.

The Indian market for battery-powered electric vehicles (xEV) is growing exponentially in the coming years, fueled by tumbling lithium-ion battery prices and favorable government policies. Lithium-ion battery is leading in clean mobility ecosystem for electric vehicles. LiBs efficient and safe performance for tropical climatic conditions is one of the primary requirements for xEV to succeed in India. The performance of LiBs, however, is impacted due to ambient temperature as well as the heat generated within cell due to the load cycle electrochemical reaction. The acceptable operating temperature region for LiBs normally is between 20 °C to 45 °C and anything outside of this region will lead to degradation of performance and irreversible damages. Therefore, understanding the thermal behavior is very crucial for an efficient battery thermal management.

Particulate matter is one of the major pollutant responsible for deteriorating air quality, particularly in urban centers. Information on contributing sources with the share from different sources is a first and one of the important steps in controlling pollution. Diverse sources, anthropogenic as well as natural, like industries, transport, domestic burning, construction, wind-blown dust, road dust contribute to particulate matter pollution. Receptor modeling is a scientific method which is utilized for assessment of the contribution of various sources based on chemical characteristics of particulate matter sources and ambient air particulate matter. Representative data of fractions of various chemical species in the particulate matter from the different sources i.e. source fingerprint is an essential input for the receptor modeling approach.

To enhance the crashworthiness of electric vehicles, designing the optimized and safer battery pack is very essential. The deformed battery cell can result in catastrophic events like thermal runaway and thus it becomes crucial to study the mechanical response of battery cell. The goal of the research is to experimentally investigate the effect of mechanical deformation on Lithium-ion battery cell. The paper thoroughly studies the phenomenon of short circuiting at the time of failure. Various experiments are carried on 18650 cylindrical cells (NCA chemistry) under custom designed fume hood. The setup captures the failure modes of battery cell. The loading conditions have been designed considering the very possible physical conditions during crash event. The study has been done for radial compression, semicircular indentation, hemispherical indentation, flat circular indentation and case of three-point bending.

The Electric Vehicles (EV) or Hybrid Electric Vehicle (HEV) has a bunch of electrical/electronic components and its operation give rise to complicated EMI/EMC issues. The Power Electronics Module (PEM), comprising of DC-DC convertor/invertor and Battery Management Unit (BMU), is driving the motor to propel the vehicle. “Battery Pack Module” powers these units through cables. The fast switching of these circuit elements present in the system leads to noise propagation through the cables. These noise signals give rise to various Electromagnetic (EM) related issues in the cable harness of vehicle. It is essential that these cables should not interfere with other electronic components and also does not get effected by external EM disturbances.

Electric Vehicles (EVs), with its inherent advantage of zero tailpipe emissions, are gaining importance because of aggressive push from government not only to reduce air pollution but also to reduce dependency of fossil fuel. EVs and necessary charging infrastructure along with ‘connected’ technology is redefining mobility. Considering the fast growing EV market, it becomes important for an EV Powertrain Architect to design and develop a powertrain solution having low engineering efforts and satisfying business, market and regulatory requirements at a competitive price. This paper presents a compact, flexible, convenient and smart featured simulation tool for an EV Powertrain Architect for estimating the specifications of key powertrain components such as traction battery and electric motor. The proposed tool takes into consideration the end-user as well as the regulatory requirements of range, maximum speed, acceleration and gradeability.

Recently, Hybrid electric vehicles have become significant. Electric vehicle is still in its infancy while grappling with multiple solutions to its problem of range anxiety and heavy weight. It makes HEV the viable and intermediate solution which can facilitate the transition. The battery behaviour is grossly defined by its dependence on variation due to temperature change. Hence, this present work focuses on understanding thermal characterization & pure behaviour of the Li-Ion Phosphate (LiFePO4) P1-HEV battery using the HPPC test. This becomes imperative because of the varying driver demands and ambient temperatures over the use during the day. Thus, the current drawn from battery varies (different C rate) leading to heat generation (I2R heating) within the pack/individual cell. Cyclically, impacting the cell performance and battery cycle life.

The technology development in automobiles is progressing towards providing smarter vehicles with increased efficiency and reduced emission. To cater this need, Electric Vehicles (EV) and Hybrid Electric Vehicles (HEV) are slowly thriving in Indian roads. Conversion of existing IC engine powered vehicle to HEV reduces complication in new vehicle development and also results in vehicles with increased efficiency and reduced emission. In order to convert the Conventional Vehicle to Hybrid Electric Vehicle, drive from electric motor was coupled with existing driveline by modifying mechanical systems suitably. Hybrid vehicle includes systems such as electric motors, inverters, high-voltage batteries and electronic control units, which are mounted in chassis members. Being a major load carrying member, any modifications in chassis system may affect the performance of vehicle, therefore it is necessary to evaluate the modified design of chassis members.

The use of Hybrid Electric Vehicles (HEV) will become imperative to meet the emission challenges. HEV have two power sources-fossil fuels driven I.C. Engine and the battery based drive. Battery technologies have seen a tremendous development, and therefore HEV’s have been benefited. Even as the battery capacities have improved, maintaining and monitoring their health has been a challenge. This research paper uses open-source platform to build a BMS. The flexibility in the implementation of the system has helped in the rapid prototyping of the system. The BMS system was evaluated on a scaled-down electric toy car for its performance and sustainability. The BMS was evaluated for reverse polarity, protection against overcharge, short-circuit, deep discharge and overload on lead acid battery. It also includes temperature monitoring of the batteries. This proposed system is evaluated on the in-house HEV two-wheeler. The initial results are promising.

CNG has recently seen increased penetration within the automotive industry. Due to recent sanctions on diesel fuelled vehicles, manufactures have again shifted their attention to natural gas as a suitable alternative. Turbocharging of SI engines has seen widespread application due to its benefit in terms of engine downsizing and increasing engine performance [1]. This paper discusses the methodology involved in development of a multi cylinder turbocharged natural gas engine from an existing diesel engine. Various parameters such as valve timing, intake volume, runner length, etc. were studied using 1D simulation tool GT power and based on their results an optimized configuration was selected and a proto engine was built. Electronic throttle body was used to give better transient performance and emission control. Turbocharger selection and its location plays a critical role.

Microalgae as feedstock are the potential third generation biofuels. Microalgae are photosynthetic microorganism which requires light, carbon-di-oxide, nitrogen, phosphorous, and potassium for growth and to produce lipids, proteins and carbohydrates in large amounts over short a periods of time. The production of biofuels from microalgal is a viable alternative due to their easy adaptability to growth conditions, possibility of growing biomass either in fresh or marine waters. Hence the current project was designed to elucidate the biodiesel producing ability of blue-green algae such as Spirulina platensis and Green algae Chlorella vulgaris. The selected algae were cultivated in suitable growth media such as modified Zarrouke medium and bold basal medium, respectively. The Spirulina platensis and Chlorella vulgaris were mass cultured for 8 days then harvested using 50 micron nylon filters and dried in sunlight to obtain dry biomass.

Utilization of higher ethanol blends, 20% ethanol in gasoline (E20), as an alternate fuel can provide apparent benefits like higher octane number leading to improved anti-knocking properties, higher oxygen content resulting in complete combustion. Apart from technical benefits, use of ethanol blends offer certain widespread socioeconomic benefits including option of renewable source of energy, value addition to agriculture feedstock resulting in increase in farm income, creation of more jobs in rural sector and creating job at local levels. Use of higher blends of ethanol can reduce dependence on foreign crude leading to substantial savings in cost of petroleum import. The impact of higher Gasoline-Ethanol blend (E20), on the fuel system components of gasoline vehicles must be known for assessment of whether the fuel system will be able to perform as intended for the complete design life of the system.

Alternative fuels for both spark ignition (SI) and compression ignition (CI) engines have become very important owing to increased environmental protection concern, the need to reduce dependency on petroleum and even socioeconomic aspects. An appropriate sustainable fuel alternative has turn out to be a main concern and bio-diesel is one of the sustainable fuels. The path of interest in biodiesel has highlighted its advantages which include decrease in hydrocarbon and particulate matter. Meanwhile its shortcoming includes higher emission of oxides of nitrogen. This work is an attempt to develop a mathematical relationship to predict thermal NOx in CI engine fuelled with neat biodiesel. Attention was focused on using in-cylinder pressure based variables to predict NOx. In cylinder pressure measurement is a valuable tool for the analysis of CI engine combustion, which is used for finding the heat release rate, ignition delay, etc.

Biodiesel is an alternate fuel for diesel consisting of the alkyl monoester of fatty acids derived from vegetable oils. The most usual method to transform oil into biodiesel is transesterification which can be carried out using different catalyst. Jatropha is second generation oil which is non edible and can be use for producing biodiesel. The first part is to expel oil from jatropha seeds. There are different types of expelling methods such as mechanical extraction, solvent extraction and enzymatic extraction. The study was conducted with hand driven mechanical expeller which is most conventional way of extracting oil from seeds with mechanical efficiency of 60-80% for single pass. The study includes various combinations of parameters like seed treatment, sun drying, pre-heating, soaking at different temperatures and different de-hulling compositions.

Two carburetted passenger cars of different makes, converted for CNG (Compressed Natural Gas) operation (in dual mode) and optimised by ARAI (The Automotive Research Association of India, Pune, India), were tested for vehicular performance. The respective engines were also mapped for performance, energy consumption and emission. The power loss in CNG mode was 7% & 15% and torque reduction was 21% & 15% in respective engines. There is considerable improvement in thermal efficiency and reduction of emission in the entire operating range. The vehicle performance on Chassis Dynamometer shows similar results. The second engine was also tested with a ceramic catalytic converter which gave 93% reduction in CO and 50% reduction in HC in major portion of operating range. 1100 CC car was also tested on the test track. Optimisation work included installation of ARAI mixer design.