Energy Storage and Management for Electric Vehicles
This Special Edition of Energies on "Energy Storage and Management for Electric Vehicles" draws together a collection of research papers that critically evaluates key areas of innovation and novelty when designing and managing the high-voltage battery system within an electrified powertrai...
| Format: | eBook |
|---|---|
| Language: | English |
| Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2020
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| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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| 072 | 7 | |a TBX |2 bicssc | |
| 720 | 1 | |a Marco, James |4 aut | |
| 720 | 1 | |a Longo, Stefano |4 aut | |
| 720 | 1 | |a Truong, Dinh Quang |4 aut | |
| 245 | 0 | 0 | |a Energy Storage and Management for Electric Vehicles |
| 260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
| 300 | |a 1 online resource (238 p.) | ||
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| 520 | |a This Special Edition of Energies on "Energy Storage and Management for Electric Vehicles" draws together a collection of research papers that critically evaluates key areas of innovation and novelty when designing and managing the high-voltage battery system within an electrified powertrain. The addressed topics include design optimisation, mathematical modelling, control engineering, thermal management, and component sizing. | ||
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| 653 | |a ?-constraint method | ||
| 653 | |a adaptive forgetting factor | ||
| 653 | |a batteries | ||
| 653 | |a battery charging | ||
| 653 | |a battery cycle-life extension | ||
| 653 | |a battery degradation | ||
| 653 | |a battery energy storage system | ||
| 653 | |a cell sorting | ||
| 653 | |a charging scheme | ||
| 653 | |a cycle-life | ||
| 653 | |a dynamic flow rate optimization | ||
| 653 | |a dynamic programming approach | ||
| 653 | |a ECE15 | ||
| 653 | |a efficiency | ||
| 653 | |a electric vehicle | ||
| 653 | |a energy storage ageing and degradation | ||
| 653 | |a energy storage system | ||
| 653 | |a equivalent circuit model | ||
| 653 | |a fuel cell | ||
| 653 | |a genetic algorithm | ||
| 653 | |a HPPC | ||
| 653 | |a hybrid power system | ||
| 653 | |a hybrid vehicle | ||
| 653 | |a Identification | ||
| 653 | |a improved artificial bee colony | ||
| 653 | |a Li-Sulfur batteries | ||
| 653 | |a life cycle assessment | ||
| 653 | |a linear programming | ||
| 653 | |a Lipschitz nonlinear system | ||
| 653 | |a lithium ion battery | ||
| 653 | |a lithium titanate oxide batteries | ||
| 653 | |a lithium-ion battery | ||
| 653 | |a Luenberger observer | ||
| 653 | |a Matlab | ||
| 653 | |a multi-parameters sorting | ||
| 653 | |a nonlinear battery model | ||
| 653 | |a operating expenses | ||
| 653 | |a optimal control | ||
| 653 | |a parameter estimation | ||
| 653 | |a parameter identification | ||
| 653 | |a principal component analysis | ||
| 653 | |a recursive least square | ||
| 653 | |a regenerative energy | ||
| 653 | |a residential battery storage | ||
| 653 | |a rule-based optimal strategy | ||
| 653 | |a second-life energy storage applications | ||
| 653 | |a self-discharge | ||
| 653 | |a self-organizing maps clustering | ||
| 653 | |a Simscape | ||
| 653 | |a Simulink | ||
| 653 | |a state of charge estimation | ||
| 653 | |a state-of-health (SOH) | ||
| 653 | |a supercapacitor models | ||
| 653 | |a supercapacitors | ||
| 653 | |a thermal behaviour | ||
| 653 | |a thermal modelling | ||
| 653 | |a timetable optimization | ||
| 653 | |a vehicle-to-building | ||
| 653 | |a zinc-nickel single-flow battery | ||
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| 856 | 4 | 0 | |u https://www.mdpi.com/books/pdfview/book/1948 |7 0 |z Open Access: DOAB, download the publication |