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Energy Storage and Management for Electric Vehicles
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2020Beskrivning: 1 electronic resource (238 p.)Innehållstyp: - text
- computer
- online resource
- 9783039218622
- 9783039218639
- Technology, Engineering, Agriculture, Industrial processes
- Technology: general issues
- History of engineering and technology
- ?-constraint method
- ECE15
- HPPC
- Identification
- Li-Sulfur batteries
- Lipschitz nonlinear system
- Luenberger observer
- Matlab
- Simscape
- Simulink
- adaptive forgetting factor
- batteries
- battery charging
- battery cycle-life extension
- battery degradation
- battery energy storage system
- cell sorting
- charging scheme
- cycle-life
- dynamic flow rate optimization
- dynamic programming approach
- efficiency
- electric vehicle
- energy storage ageing and degradation
- energy storage system
- equivalent circuit model
- fuel cell
- genetic algorithm
- hybrid power system
- hybrid vehicle
- improved artificial bee colony
- life cycle assessment
- linear programming
- lithium ion battery
- lithium titanate oxide batteries
- lithium-ion battery
- multi-parameters sorting
- nonlinear battery model
- operating expenses
- optimal control
- parameter estimation
- parameter identification
- principal component analysis
- recursive least square
- regenerative energy
- residential battery storage
- rule-based optimal strategy
- second-life energy storage applications
- self-discharge
- self-organizing map
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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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eng
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