There is growing interest in the concept of a smart city and how these advanced technologies will improve the quality of living and make a city more attractive to visitors, commerce and industry. This course fills an unmet need for defining and explaining the relationship between connected and autonomous vehicles (CAVs) and smart city transportation. It is apparent that CAVs will achieve the best results when integrated with current and emerging urban infrastructure for transportation. This course addresses such integration from technology, organizational, policy and business model perspectives.
In this joint AIAA / SAE course, participants will learn about Electro-chemical Energy Systems (EES), with an emphasis on electrified aircraft propulsion and power applications. The course will present the fundamentals in chemistry, materials science, electrical, and mechanical engineering for various EESs including high voltage battery systems (Li-ion and beyond) and fuel cells (PEM, solid oxide fuel cells, and others).
Electric and hybrid vehicles are becoming more visible on today's roadways and the automotive companies are working hard to make these vehicles as transparent as possible to enhance consumer acceptance. The battery system forms a key part of any of these vehicles and is probably the least understood. With practically no moving parts the battery systems show no visible or audible warning of any latent dangers. This seminar will introduce participants to the risks encountered in handling high voltage battery systems and their component parts.
Driven by the need for lower emissions, better fuel economy and higher efficiency, hybrid vehicles are appearing in many different configurations on today's roadways. While the powertrain components such as the drive motor, motor controller and cooling system are somewhat familiar to the automotive industry, the battery systems are a relatively unfamiliar aspect. This seminar will introduce participants to the concepts of hybrid vehicles, their missions and the role of batteries in fulfilling those requirements.
With the increasingly serious global environmental and energy problems, as well as the increasing number of vehicles, pure electric vehicles with its advantages of environmental protection, low noise and renewable energy, become an effective way to alleviate environmental pollution and energy crisis. Due to the current pure electric vehicle power battery technology is not perfect, the range of pure electric vehicle has a great limit. Through the braking energy recovery, the energy can be reused, the energy utilization rate can be improved, and the battery life of pure electric vehicles can be improved. In this paper, a pure electric vehicle is taken as the analysis object, and the whole vehicle analysis model is built. Based on the ideal braking force distribution curve and fuzzy logic control principle, the braking energy recovery control strategy of pure electric vehicle is formulated through comparative analysis.
Vehicle tyres lead us to move miles and miles, which faces a lot of heat and stresses all that energy should not go in vain, Peizoelectric materials are materials which have the ability to convert the applied mechanical stress into electrical charge. Our work deals with the conversion of heat and stress of the tyre into an electrical energy by using piezoelectric transducer, rapid collection and storage of electric energy using super-capacitor. For this experimental study, electric bike was taken and its tyres was replaced by regenerative tyre, which is made of two tyres mounted in the same rim inbetween them piezoelectric transducer was placed, its also called as piezoelectric sandwich tyre structure. In the order of 4 columns and 40 rows in the circumference of the inner tyre at about 320 PZT (lead zirconate titanate) for both tyres. The PZT has greater stability and higher operating temperature.
The SAE J1100 based standard cargo volume index methods and predefined luggage objects are very specific to United States population. The European luggage volume calculation and standard luggage calculations are primarily based on DIN and ISO standards. Luggage volume declaration by manufacturers are based on any of these methods. The calculations are complicated and there is a possibility of declaring different values for similar luggage compartments. The major purchase decision of vehicle is based on its luggage capacity and current methods are very limited to make an intelligent decision by a customer. Market specific customer usage patterns for luggage requirements and protecting them in vehicle architecture upfront in concept stage is important to retain the market position and buying preference of customers. The usage patterns is collected from customer clinics and marketing inputs.
The performance of lithium-ion batteries and its service life depends on its operating temperature. Operating the battery above 45 °C degrades the performance of the battery and reduces its service life. The high-temperature operation also leads to thermal runaway. So there is a need to monitor the operating temperature and voltage output of the battery using a battery thermal management system to ensure its safety. Battery Thermal Management System (BTMS) is a part of the battery management system. The effectiveness of the battery thermal management system depends on the battery pack design, battery chemistry, vehicle operating characteristics and ambient conditions. In this work, a refrigerant-based BTMS is modeled using MATLAB Simulink. Refrigerant R134a used in the air conditioning system of an Electric Vehicle is used as an evaporative cooling medium to cool the batteries.