scholarly journals Optimization of Energy-Efficient Speed Profile for Electrified Vehicles

2018 ◽  
Author(s):  
Hadi Abbas ◽  
Youngki Kim ◽  
Jason B. Siegel ◽  
Denise M. Rizzo
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Minimum Energy ◽  
Efficient Operation ◽  
Operating Modes ◽  
Minimum Energy Consumption ◽  
System A ◽  
Trip Time ◽  
Route Information

This paper presents a study of energy-efficient operation of vehicles with electrified powertrains leveraging route information, such as road grades, to adjust the speed trajectory. First, Pontryagin’s Maximum Principle (PMP) is applied to derive necessary conditions and to determine the possible operating modes. The analysis shows that only 5 modes are required to achieve minimum energy consumption; full propulsion, cruising, coasting, full regeneration, and full regeneration with conventional braking. The minimum energy consumption problem is reformulated and solved in the distance domain using Dynamic Programming to optimize speed profiles. A case study is shown for a light weight military robot including road grades. For this system, a tradeoff between energy consumption and trip time was found. The optimal cycle uses 20% less energy for the same trip duration, or could reduce the travel time by 14% with the same energy consumption compared to the baseline operation.

Synthesis of Pontryagin's Maximum Principle Analysis for Speed Profile Optimization of All-Electric Vehicles

2019 ◽  
Vol 141 (7) ◽  
Author(s):  
Hadi Abbas ◽  
Youngki Kim ◽  
Jason B. Siegel ◽  
Denise M. Rizzo
Keyword(s):  
Energy Consumption ◽  
Maximum Principle ◽  
Electric Vehicles ◽  
Minimum Energy ◽  
Pontryagin’S Maximum Principle ◽  
Pontryagin's Maximum Principle ◽  
Efficient Operation ◽  
Component Size ◽  
Operating Modes ◽  
Minimum Energy Consumption

This paper presents a study of the energy-efficient operation of all-electric vehicles leveraging route information, such as road grade, to adjust the velocity trajectory. First, Pontryagin's maximum principle (PMP) is applied to derive necessary conditions and to determine the possible operating modes. The analysis shows that only five modes are required to achieve minimum energy consumption: full propulsion, cruising, coasting, full regeneration, and full regeneration with conventional braking. Then, the minimum energy consumption problem is reformulated and solved in the distance domain using dynamic programming to find the optimal speed profiles. Various simulation results are shown for a lightweight autonomous military vehicle. The sensitivity of energy consumption to regenerative-braking power limits and trip time is investigated. These studies provide important information that can be used in designing component size and scheduling operation to achieve the desired vehicle range.

The Implementation of Energy-Efficient and QoS Balancing Routing Based on OpenFlow Networks

2013 ◽  
Vol 411-414 ◽  
pp. 697-702
Author(s):  
Jia Hu ◽  
Jin He Zhou
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Minimum Energy ◽  
Experimental Platform ◽  
Minimum Energy Consumption ◽  
Efficient Management

In this paper an energy-efficient management routing algorithm is presented. We provide a new idea and some solutions to balance the energy-efficient and QoS. Within the scope of QoS requirements, the routers consider energy-efficient and QoS at the same time, and choose a minimum energy consumption path. The proposed routing algorithm is then implemented with OpenFlow, which is an expandable, customizable, controllable and programmable experimental platform. The result indicates that proposed algorithm works well, and can balances between energy-efficient and QoS.

Energy Efficient Multi-Hop Wireless Sensor Networks with Cooperative MIMO Scheme

2013 ◽  
Vol 660 ◽  
pp. 124-129
Author(s):  
Yu Yang Peng ◽  
Jaeho Choi ◽  
Zi Chen Ren ◽  
Jae Ho Choi
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Minimum Energy ◽  
Multiple Input Multiple Output ◽  
Wireless Sensor ◽  
Cooperative Mimo ◽  
Minimum Energy Consumption ◽  
Input Multiple Output

For wireless sensor networks, energy efficiency is one of the most important subjects in recent research. In this paper, an energy-efficient multi-hop scheme based on cooperative MIMO (multiple-input multiple-output) technique is proposed for wireless sensor networks. Different from other papers, we consider a single cluster transmission scenario in which energy consumption is optimized by selecting the hop length and modulation constellation size. The optimal energy consumption formula is derived and proved mathematically. In addition, the minimum energy consumption per bit is calculated numerically.

scholarly journals Optimization of MFA parameters for harrowing crops with simultaneous fertilization

2021 ◽  
Vol 346 ◽  
pp. 03004
Author(s):  
Alexander Serguntsov ◽  
Leonid Alekseenko
Keyword(s):  
Energy Consumption ◽  
Energy Intensity ◽  
Minimum Energy ◽  
Maximum Power ◽  
Operating Speed ◽  
Operating Modes ◽  
Minimum Energy Consumption ◽  
Winter Crops

The calculation of the energy intensity of the harrowing process of winter crops with simultaneous fertilization is theoretically justified by drawing up a flowchart with a step-by-step calculation of the parameters and operating modes of a multifunctional unit. The flowchart shows the parameters and operating modes that are set and that need to be calculated to achieve the goal of calculating energy intensity. In the course of calculations, we constructed the dependence of energy consumption on the operating speed, that is, we determined the minimum energy consumption at maximum power when using a multifunctional unit.

scholarly journals Survey: energy efficient protocols using radio scheduling in wireless sensor network

2020 ◽  
Vol 10 (2) ◽  
pp. 1296
Author(s):  
Deepa Mathew K. ◽  
Anita Jones
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Data Transmission ◽  
Energy Efficient ◽  
Network Performance ◽  
Minimum Energy ◽  
Wireless Sensor ◽  
Survey Study ◽  
Minimum Energy Consumption ◽  
Scheduling Protocols

An efficient energy management scheme is crucial factor for design and implementation of any sensor network. Almost all sensor networks are structured with numerous small sized, low cost sensor devices which are scattered over the large area. To improvise the network performance by high throughput with minimum energy consumption, an energy efficient radio scheduling MAC protocol is effective solution, since MAC layer has the capability to collaborate with distributed wireless networks. The present survey study provides relevant research work towards radio scheduling mechanism in the design of energy efficient wireless sensor networks (WSNs). The various radio scheduling protocols are exist in the literature, which has some limitations. Therefore, it is require developing a new energy efficient radio scheduling protocol to perform multi tasks with minimum energy consumption (e.g. data transmission). The most of research studies paying more attention towards to enhance the overall network lifetime with the aim of using energy efficient scheduling protocol. In that context, this survey study overviews the different categories of MAC based radio scheduling protocols and those protocols are measured by evaluating their data transmission capability, energy efficiency, and network performance. With the extensive analysis of existing works, many research challenges are stated. Also provides future directions for new WSN design at the end of this survey.

scholarly journals Towards Void Hole Alleviation by Exploiting the Energy Efficient Path and by Providing the Interference-Free Proactive Routing Protocols in IoT Enabled Underwater WSNs

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1313 ◽  
Author(s):  
Muhammad Awais ◽  
Nadeem Javaid ◽  
Amjad Rehman ◽  
Umar Qasim ◽  
Musaed Alhussein ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Minimum Energy ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Minimum Energy Consumption ◽  
Proactive Routing ◽  
Delay Increase

Nowadays, the Internet of Things enabled Underwater Wireless Sensor Network (IoT-UWSN) is suffering from serious performance restrictions, i.e., high End to End (E2E) delay, low energy efficiency, low data reliability, etc. The necessity of efficient, reliable, collision and interference-free communication has become a challenging task for the researchers. However, the minimum Energy Consumption (EC) and low E2E delay increase the performance of the IoT-UWSN. Therefore, in the current work, two proactive routing protocols are presented, namely: Bellman–Ford Shortest Path-based Routing (BF-SPR-Three) and Energy-efficient Path-based Void hole and Interference-free Routing (EP-VIR-Three). Then we formalized the aforementioned problems to accomplish the reliable data transmission in Underwater Wireless Sensor Network (UWSN). The main objectives of this paper include minimum EC, interference-free transmission, void hole avoidance and high Packet Delivery Ratio (PDR). Furthermore, the algorithms for the proposed routing protocols are presented. Feasible regions using linear programming are also computed for optimal EC and to enhance the network lifespan. Comparative analysis is also performed with state-of-the-art proactive routing protocols. In the end, extensive simulations have been performed to authenticate the performance of the proposed routing protocols. Results and discussion disclose that the proposed routing protocols outperformed the counterparts significantly.

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