A New Method for Battery Lifetime Estimation Using Experimental Testbed for Zigbee Wireless Technology

2018 ◽  
Vol 8 (6) ◽  
pp. 2654
Author(s):  
Dahlila Putri Dahnil ◽  
Supiah Selamat ◽  
Khairul Azmi Abu Bakar ◽  
Rosilah Hassan ◽  
Ahmad G. Ismail
Keyword(s):  
New Method ◽  
Wireless Technology ◽  
Lifetime Estimation ◽  
Battery Lifetime ◽  
Experimental Testbed

scholarly journals Remote Microgrids for Energy Access in Indonesia—Part II: PV Microgrids and A Technology Outlook

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6901
Author(s):  
Desmon Simatupang ◽  
Ilman Sulaeman ◽  
Niek Moonen ◽  
Rinaldi Maulana ◽  
Safitri Baharuddin ◽  
...  
Keyword(s):  
Companion Paper ◽  
Monitoring Systems ◽  
Energy Access ◽  
Lifetime Estimation ◽  
Battery Lifetime ◽  
Utility Company ◽  
Pv Systems ◽  
Grid Connection ◽  
Advanced Technologies ◽  
Sustainability Challenges

This paper is the companion paper of Remote Microgrids for Energy Access in Indonesia “Part I: scaling and sustainability challenges and a technology outlook”. This part II investigates the issues of photovoltaic (PV) systems with respect to the planning, design, and operation, and maintenance phases in microgrids in Indonesia. The technology outlooks are also included as PV has an important role in providing electricity in the underdeveloped, isolated, and border areas. The data in this paper are from PV microgrids located in Maluku and North Maluku, which are two provinces where there is barely any grid connection available and thus very dependent on remote microgrids. The data are obtained from interviews with Perusahaan Listrik Negara (PLN) and NZMATES, which are an Indonesian utility company and a program for supporting role for the PV systems in Maluku funded by New Zealand respectively. Common issues with respect to reliability and sustainability are identified based on the provided data. Advanced technologies to increase reliability and sustainability are also presented in this paper as a technology outlook. Among these solutions are online monitoring systems, PV and battery lifetime estimation, load forecasting strategies, and PV inverters technology.

Battery Lifetime Estimation Based on Usage Pattern

2021 ◽  
pp. 353-365
Author(s):  
Manu Gupta ◽  
Shruti Mary ◽  
Jay Trivedi ◽  
Jai Goyal ◽  
Priyanka Maan ◽  
...  
Keyword(s):  
Usage Pattern ◽  
Lifetime Estimation ◽  
Battery Lifetime

scholarly journals Online Cloud-Based Battery Lifetime Estimation Framework for Smartphone Devices

2017 ◽  
Vol 110 ◽  
pp. 70-77 ◽  
Author(s):  
Raja Wasim Ahmad ◽  
Raja Sehrab Bashir ◽  
Sharjil Saeed ◽  
Yangsun Lee ◽  
Kwangman Ko ◽  
...  
Keyword(s):  
Lifetime Estimation ◽  
Battery Lifetime

scholarly journals Battery Lifetime Estimation for LoRaWAN Communications

2020 ◽  
Vol 9 (11) ◽  
pp. 306-310
Keyword(s):  
Power Consumption ◽  
Smart Cities ◽  
Building Blocks ◽  
Wide Area Networks ◽  
Lifetime Estimation ◽  
Battery Lifetime ◽  
Global Power ◽  
Simulation Results ◽  
Microcontroller Unit ◽  
Time Acquisition

Smart Cities concept increased the number of end devices (ED) which allow the acquisition of parameters for further analysis and processing. The actual technologies based on Internet of Things (IoT) enable sensors connectivity to Internet. This feature allows real time acquisition of several physical data important for smart cities monitoring. In order to minimize the power consumption, Low Power Wide Area Networks (LPWAN) assumes an important role on the evolution and growing of wireless network sensors. In this particular type of network, LoRaWAN has taken the lead, among other technologies. Typically most end devices need to be powered with batteries, since they are in remote zones. Therefore one important issue to consider is the global power consumption of the end device building blocks: LoRa transceiver, microcontroller unit and sensor unit. This paper presents the study and simulation results supported on LoRa modulation parameters, in order to estimate the battery lifetime, which is useful for IoT remote sensing units. The achieved results denote it is possible to configure LoRa transceiver with similar parameters and different payloads, reaching the same battery lifetime.

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