Batteries and Supercapacitors Aging
Electrochemical energy storage is a key element of systems in a wide range of sectors, such as electro-mobility, portable devices, and renewable energy. The energy storage systems (ESSs) considered here are batteries, supercapacitors, and hybrid components such as lithium-ion capacitors. The durabil...
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Year of Publication: | 2020 |
Language: | English |
Physical Description: | 1 electronic resource (214 p.) |
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100 | 1 | |a Venet, Pascal |4 auth | |
245 | 1 | 0 | |a Batteries and Supercapacitors Aging |
260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
300 | |a 1 electronic resource (214 p.) | ||
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520 | |a Electrochemical energy storage is a key element of systems in a wide range of sectors, such as electro-mobility, portable devices, and renewable energy. The energy storage systems (ESSs) considered here are batteries, supercapacitors, and hybrid components such as lithium-ion capacitors. The durability of ESSs determines the total cost of ownership, the global impacts (lifecycle) on a large portion of these applications and, thus, their viability. Understanding ESS aging is a key to optimizing their design and usability in terms of their intended applications. Knowledge of ESS aging is also essential to improve their dependability (reliability, availability, maintainability, and safety). This Special Issue includes 12 research papers and 1 review article focusing on battery, supercapacitor, and hybrid capacitor aging. | ||
546 | |a English | ||
653 | |a abuse test | ||
653 | |a thermal runaway | ||
653 | |a lifetime | ||
653 | |a Li-Ion battery | ||
653 | |a lithium-ion capacitor | ||
653 | |a langmuir isotherm | ||
653 | |a battery management system (BMS) | ||
653 | |a cycling ageing | ||
653 | |a degradation | ||
653 | |a remaining capacity | ||
653 | |a selection algorithm | ||
653 | |a electric vehicle | ||
653 | |a safety | ||
653 | |a LFP | ||
653 | |a state-of-charge determination | ||
653 | |a cathode-electrolyte interphase | ||
653 | |a state-of-health (SOH) | ||
653 | |a incremental capacity analysis (ICA) | ||
653 | |a lamination | ||
653 | |a capacitance | ||
653 | |a lead-acid batteries | ||
653 | |a self-discharge | ||
653 | |a fast-charging capability | ||
653 | |a second life battery | ||
653 | |a ampere-hour throughput | ||
653 | |a incremental capacity analysis | ||
653 | |a state of health (SoH) | ||
653 | |a impedance spectroscopy | ||
653 | |a partial coulometric counter | ||
653 | |a Ni-rich cathode | ||
653 | |a calendar ageing | ||
653 | |a driving cycles | ||
653 | |a pseudo-charge | ||
653 | |a state-of-health | ||
653 | |a accelerated ageing | ||
653 | |a lithium iron phosphate | ||
653 | |a calendar aging | ||
653 | |a electrochemical impedance spectroscopy | ||
653 | |a electric vehicles | ||
653 | |a lifetime prediction | ||
653 | |a Petri nets | ||
653 | |a battery | ||
653 | |a electro mobility | ||
653 | |a floating aging | ||
653 | |a aging mechanisms | ||
653 | |a LiFePO4 | ||
653 | |a autonomous devices | ||
653 | |a temperature | ||
653 | |a electrical characterization | ||
653 | |a cell degradation | ||
653 | |a lithium-ion battery | ||
653 | |a ageing | ||
653 | |a battery management system | ||
653 | |a NMC | ||
653 | |a batteries | ||
653 | |a lithium-ion | ||
653 | |a state-of-charge monitoring | ||
653 | |a operative dependability | ||
653 | |a aging model | ||
653 | |a battery life testing | ||
653 | |a aging | ||
653 | |a embedded algorithm | ||
653 | |a post-mortem analysis | ||
653 | |a supercapacitor | ||
776 | |z 3-03928-714-1 | ||
700 | 1 | |a Redondo-Iglesias, Eduardo |4 auth | |
906 | |a BOOK | ||
ADM | |b 2024-05-01 05:37:10 Europe/Vienna |f system |c marc21 |a 2020-06-20 22:16:43 Europe/Vienna |g false | ||
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