Hybrid Renewable Energy Systems Control Based on Predictive Models and Genetic Algorithms

Ngoc, Thang Pham; Shcherbakov, Maxim; Vinh, Thai Quang; Shcherbakova, Nataliya; Камаев, В. А.

doi:10.1007/978-3-319-23766-4_41

Cited by 1 publication

(3 citation statements)

References 16 publications

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“…Regarding electrochemically power storage and ecological power source, in recent years, there are increasing concerns about the Hybrid Renewable Energy Systems (HRESs), which contain one or several renewable power sources and energy storage solutions such as battery or Fuel Cell systems [28][29][30][31][32][33]. Such a combination can eliminate the disadvantages of each power source by using the advantages of others.…”

Section: Electric Vehicles Power Supplymentioning

confidence: 99%

“…On the other hand, renewable power sources can also be used as a power harvesting solution to increase the efficiency and operating time of battery or Fuel Cell systems. Currently, in many countries, one of the most popular and promising renewable power sources is the Photovoltaic (PV) system [29][30][31][32][33][34][35][36][37]. Figure 5 shows the scheme of HRESs based on PV systems.…”

Section: Electric Vehicles Power Supplymentioning

confidence: 99%

“…Figure 5 shows the scheme of HRESs based on PV systems. More detailed discussions about these systems can be found in [28][29][30][31][32][33][34][35][36][37].…”

Section: Electric Vehicles Power Supplymentioning

confidence: 99%

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Battery Management System for Unmanned Electric Vehicles with CAN BUS and Internet of Things

et al. 2022

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In recent decades, the trend of using zero-emission vehicles has been constantly evolving. This trend brings about not only the pressure to develop electric vehicles (EVs) or hybrid electric vehicles (HEVs) but also the demand for further developments in battery technologies and safe use of battery systems. Concerning the safe usage of battery systems, Battery Management Systems (BMS) play one of the most important roles. A BMS is used to monitor operating temperature and State of Charge (SoC), as well as protect the battery system against cell imbalance. The paper aims to present hardware and software designs of a BMS for unmanned EVs, which use Lithium multi-cell battery packs. For higher modularity, the designed BMS uses a distributed topology and contains a master module with more slave modules. Each slave module is in charge of monitoring and protecting a multi-cell battery pack. All information about the state of each battery pack is sent to the master module which saves and sends all data to the control station if required. Controlled Area Network (CAN) bus and Internet of Things technologies are designed for requirements from different applications for communications between slave modules and the master module, and between the master module and control station.

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