Which car comes with intelligent energy management system and 10 on board computers and gives real time drive information?
Answers from top 10 papers
More filters
| Papers (10) | Insight |
|---|---|
71 Citations | The proposed system is highly energy-efficient and close to real-time performance. |
18 Jun 2012 9 Citations | Properly implemented, intelligent energy management systems can help cut energy use, spending, and emissions. |
161 Citations | It is shown that the proposed intelligent energy management system is improving the performance of other existing systems. |
37 Citations | Thus, real-time energy management can be accomplished based on the above attributes. |
| This is not enough: the real need is for an intelligent management of a complete set of energy sources and vectors, as electricity, heat, hydrogen, bio and non-biofuels, that requires a clear shift that goes beyond smart grids and looks at Intelligent Energy Networks. | |
52 Citations | Based on the proposed three-party architecture, we introduce two interesting systems, SC-centered and EV-centered systems, and further propose a schedule-upon-request energy management framework to achieve effective and intelligent energy management in the power system involving both EVs and SCs. |
20 Aug 2009 13 Citations | This program has certain applied value in intelligent control and userfriendly design of car power windows. |
| The experimental result indicates that the design of the intelligent car system is feasible. | |
01 Sep 2009 18 Citations | Third, the reported results are shown to be directly applicable to off-the-shelf sensor products and real-time wireless sensor networks, since we evaluated the performance on a real sensor platform and the real-time requirements for a car are much more stringent than other real-time systems. |
25 Sep 2009 9 Citations | The prototype system is tested on a car, and the results show that the system can be used easily as a basis for future vehicular applications based on multi-source information fusion. |
Related Questions
How Fleet management technology could help SME trucking firms?10 answersFleet management technology offers a multitude of benefits to SME trucking firms, enhancing efficiency, safety, and cost-effectiveness across their operations. The implementation of open-source ERP systems, such as Odoo, can significantly reduce operational costs while improving managerial processes and decision-making capabilities for SMEs. This approach allows for the integration of all cross-sectional data, supporting effective fleet management and documentation, as evidenced by a study where 98% of SMEs' needs were met through such a system.
Moreover, the integration of advanced technologies like IoT, Cloud Computing, Computer Vision, Machine Learning, and Deep Learning into fleet management systems enables real-time monitoring of vehicles, predictive maintenance, and enhanced security measures. These technologies facilitate the handling of large volumes of data, improve fuel consumption prediction, and ensure driver authentication, thereby optimizing fleet operations and reducing unauthorized vehicle use.
The utilization of diverse fuel types and the analysis of service and fuel parameters can lead to more cost-effective fleet operations. By selecting the most efficient vehicle types for specific service requests, SMEs can significantly lower operating costs. Additionally, leveraging IoT and cloud technologies for vehicle diagnostics can preemptively identify maintenance needs, thereby minimizing unplanned repairs and extending vehicle life.
Strategic vehicle management, including optimal vehicle spacing and load balancing, can further reduce operational costs by minimizing wind resistance and enhancing fuel efficiency. Global supply chain demands and the need for just-in-time delivery underscore the importance of reliable and efficient fleet management for SME trucking firms, enabling them to remain competitive in a global market.
The adoption of GPS technology for vehicle tracking and management not only improves operational efficiency but also contributes to environmental sustainability by optimizing routes and reducing fuel consumption. Finally, comprehensive data collection and analysis, as seen in systems equipped with information sensors and data acquisition devices, empower fleet managers to make informed decisions, improving safety and operational efficiency.
In summary, fleet management technology equips SME trucking firms with the tools necessary for optimizing their operations, enhancing safety, and achieving cost savings, thereby ensuring their competitiveness in the global market.
What are the potential benefits and challenges associated with implementing wireless chargers for EVs in terms of energy management?5 answersImplementing wireless chargers for Electric Vehicles (EVs) presents several benefits and challenges in terms of energy management. The benefits include seamless charging without physical connections, user-friendly experience, and the utilization of renewable energy sources. However, challenges such as optimizing charging efficiency, ensuring compatibility with different vehicle models, and maintaining high power transfer effectiveness need to be addressed. Additionally, the integration of wireless power transfer (WPT) systems with hybrid energy storage systems (HESS) comprising batteries and supercapacitors can enhance energy storage optimization, extend battery life, and enable simultaneous charging while in motion, especially in low voltage EVs operating in stop-and-go traffic or hilly terrains. This integration can potentially revolutionize the future of EV technology by offering sustainable and efficient energy management solutions.
How does an energy management system impact energy consumption and cost savings?5 answersAn energy management system (EMS) plays a crucial role in optimizing energy consumption and achieving cost savings. By utilizing real-time monitoring and analysis, an EMS can effectively reduce energy wastage, schedule smart appliances, and ensure a steady comfort level for building occupants. Through intelligent management based on collected data, energy losses are minimized, and resources are efficiently utilized. Additionally, an EMS can enable the efficient charging and discharging of energy storage modules, leading to lower power consumption and self-power supply capabilities. Leveraging DC energy sources like photovoltaic modules or batteries further enhances energy efficiency and allows for precise energy delivery to the premises, contributing to overall energy savings. Transitioning to renewable energy sources within an EMS framework is also highlighted as a key strategy to combat climate change and reduce energy consumption.
How is ai impacting electric vehicles?4 answersArtificial intelligence (AI) is impacting electric vehicles (EVs) in various ways. AI and machine learning (ML) are being used to improve information security in EVs, specifically in authentication, intrusion detection, and attack prevention. Additionally, AI algorithms can draw insights and make decisions from the large volumes of data generated by the digitalization of electrical grids and EVs. This can be applied to charge-demand profiling, data augmentation, demand forecasting, demand explainability, and charge optimization of the EV infrastructure (EVI). AI technology is also being integrated into EVs themselves, with the use of neural network algorithms for intelligent tracking cars. Furthermore, AI and IoT are being used to monitor and estimate the state-of-charge (SOC) of EV batteries, ensuring their safety and effective functioning. Overall, AI is playing a significant role in enhancing the security, efficiency, and performance of EVs.
What are the challenges in verifying and validating AI modules used for energy management in a car?5 answersVerifying and validating AI modules used for energy management in a car face several challenges. These challenges include formulating the role and task of the system properly, ensuring bug-free implementation, using representative data and handling anomalies and data quality issues, and achieving sufficient accuracy in the system's output for the task. Additionally, the unpredictable nature of Artificial Intelligence (AI) creates concerns that need to be addressed through appropriate verification and validation (V&V) processes. The V&V processes should be able to address trustworthy AI and safe autonomy in autonomous cars. Overall, the challenges in verifying and validating AI modules for energy management in a car involve formulating the system's role and task, ensuring bug-free implementation, handling data quality issues, and addressing the unpredictable nature of AI in autonomous cars.
What are the potential benefits of using artificial intelligence for energy management?5 answersArtificial intelligence (AI) has the potential to bring several benefits to energy management. AI can optimize energy consumption in buildings by using machine learning algorithms for data cleaning, processing, and analysis, leading to a reduction in energy consumption by 20%-30%. In the field of renewable energy management strategies, AI can improve system performance compared to classical methods, resulting in reduced hydrogen consumption and improved efficiency. AI can also be used in combination with photovoltaics and storage systems to generate predictions about future energy demand, leading to an increase in purchased energy at the minimum price and a reduction in the electricity bill. In fuel cell hybrid electric vehicles, AI-based energy management approaches can enhance the efficiency of the hybrid powertrain, resulting in notable performance improvements. Overall, the integration of AI and machine learning techniques in energy management enables better decision-making, energy conservation, and advancements in the field of energy science, contributing to a greener and more sustainable future.