Zobrazeno 1 - 10
of 3 729
pro vyhledávání: '"bms"'
Publikováno v:
Romanian Journal of Oral Rehabilitation, Vol 16, Iss 3, Pp 190-199 (2024)
Aim: Burning Mouth Syndrome (BMS) often presents a significant challenge for patients and clinicians. Patients experience persistent oral pain without objective clinical signs, complicating the diagnosis of this condition. To address this challenge,
Externí odkaz:
https://doaj.org/article/7a24154b30394708bfb57501239e6219
Autor:
Lorenzo Breglio, Arcangelo Fiordellisi, Giovanni Gasperini, Giulio Iodice, Denise Palermo, Manuela Tufo, Fabio Ursumando, Agostino Mele
Publikováno v:
Modelling, Vol 5, Iss 3, Pp 911-935 (2024)
This paper presents a novel integrated control architecture for automotive battery management systems (BMSs). The primary focus is on estimating the state of charge (SoC) and the state of health (SoH) of a battery pack made of sixteen parallel-connec
Externí odkaz:
https://doaj.org/article/e63df1b4c12b422f9d427f3c1be55dac
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 111192- (2024)
With the development of smart buildings, the risks of cyber-attacks against them have also increased. One of the popular and evolving protocols used for communication between devices in smart buildings, especially HVAC systems, is the BACnet protocol
Externí odkaz:
https://doaj.org/article/516d3d00022e4250a8f8e04d3b9e3fad
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 10, Iss , Pp 100868- (2024)
Accurate assessment of state of charge (SoC) is crucial for the safety and efficiency of lithium-ion batteries used in electric vehicles (EVs). For precise SoC estimation in EV BMSs, an Augmented Adaptive Extended Kalman Filter (AAEKF) has been propo
Externí odkaz:
https://doaj.org/article/15dea7ae2c7a4b29b8e6c192e4b7e3b5
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200157- (2024)
The main goal in this research is to train various machine learning models to predict charging cycles in EV Electric Vehicles) battery systems. The considered models are gradient boosting, random forests, decision trees, and linear regression. Each o
Externí odkaz:
https://doaj.org/article/3d49368e75a741ae8fc2410731c3c27f
Publikováno v:
Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika, Vol 67, Iss 3, Pp 209-227 (2024)
Due to the development of electric transport and the growth of “green” energy, electric energy storage systems (ESS) are increasingly being used in the world. The growth of the battery market in the last decade has been 20-30%. One of the ways to
Externí odkaz:
https://doaj.org/article/8bae4d12cbc24a20b47172846f45a41c
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 3, Pp 53-58 (2024)
The all-vanadium redox flow technology has garnered significant attention in the energy storage field, due to its attributes of high safety, high reliability, environmental friendliness, and power-capacity decoupling. Within all-vanadium redox flow e
Externí odkaz:
https://doaj.org/article/af0078da2eda425ca63df357dcf37f6d
Autor:
Wen Li, Lan Ma, Fang Li, Kemin Li, Yang Zhang, Hongtao Ren, Xing Bao, Yuyan Guo, Ya Guo, Mincong Wang, Dan Li, Yuanqiong Duan, Xiulong Ma, Zhongwei Wang, Yali Wang, Rutie Yin
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-14 (2024)
Abstract Objective To evaluate effects of bone marrow sparing (BMS) radiotherapy on decreasing the incidence of acute hematologic toxicity (HT) for locoregionally advanced cervical cancer (LACC) patients treated by pelvic irradiation. Materials and m
Externí odkaz:
https://doaj.org/article/1ecebeafc8b5439b9ad218071918874d
Autor:
Gopal Krishna, Rajesh Singh, Anita Gehlot, Vaseem Akram Shaik, Bhekisipho Twala, Neeraj Priyadarshi
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102770- (2024)
In the current scenario, the world is focused on renewable energy generation to achieve sustainability by 2030 regarding clean and affordable energy. Lithium-ion (Li-ion)-based Battery Energy storage (BES) is a prominent approach that is widely adopt
Externí odkaz:
https://doaj.org/article/d68b14aad36a4c55bfbd81881826ab50