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Energy Storage and Management for Electric Vehicles
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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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Keywords
- ?-constraint method
- 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
- ECE15
- Efficiency
- electric vehicle
- energy storage ageing and degradation
- energy storage system
- equivalent circuit model
- Fuel cell
- genetic algorithm
- HPPC
- hybrid power system
- hybrid vehicle
- Identification
- improved artificial bee colony
- Li-Sulfur batteries
- Life Cycle Assessment
- Linear Programming
- Lipschitz nonlinear system
- lithium ion battery
- lithium titanate oxide batteries
- lithium-ion battery
- Luenberger observer
- MATLAB
- 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 maps clustering
- Simscape
- Simulink
- state of charge estimation
- state-of-health (SOH)
- supercapacitor models
- supercapacitors
- thermal behaviour
- thermal modelling
- timetable optimization
- vehicle-to-building
- zinc–nickel single-flow battery
Links
DOI: 10.3390/books978-3-03921-863-9Editions
