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Start Over Descriptor "dV/dQ" Topic lithium-ion battery
4 results on '"dV/dQ"'

1. Lithium-Ion Battery Cell Cycling and Usage Analysis in a Heavy-Duty Truck Field Study

Author

Pontus Svens, Mårten Behm, and Göran Lindbergh

Subjects
hybrid electric vehicle, HEV, lithium-ion battery, dV/dQ, Electrochemical Impedance Spectroscopy (EIS), Technology
Abstract

This paper presents results from a field test performed on commercial power-optimized lithium-ion battery cells cycled on three heavy-duty trucks. The goal with this study was to age battery cells in a hybrid electric vehicle (HEV) environment and find suitable methods for identifying cell ageing. The battery cells were cycled on in-house developed equipment intended for testing on conventional vehicles by emulating an HEV environment. A hybrid strategy that allows battery usage to vary within certain limits depending on driving patterns was used. This concept allows unobtrusive and low-cost testing of battery cells under realistic conditions. Each truck was equipped with one cell cycling equipment and two battery cells. One cell per vehicle was cycled during the test period while a reference cell on each vehicle experienced the same environmental conditions without being cycled. Differential voltage analysis and electrochemical impedance spectroscopy were used to identify ageing of the tested battery cells. Analysis of driving patterns and battery usage was performed from collected vehicle data and battery cell data.

Published
2015
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2. Electric Systems for Transportation.

Author

Ruvio, Alessandro, Falvo, Maria Carmen, and Ruvio, Alessandro

Subjects
Technology: general issues, EV motor inverter, G2V, PEM fuel cell system, PFCM-ABC-SVM, PV, SOC estimation, TCO, V2G, adaptive control, adaptive control theory, alternating direction method of multipliers, ancillary services, anti-lock braking system, battery aging, battery electric vehicles, battery fuel gauge, battery management system (BMS), battery management systems, bilevel model, capacity fade, charging strategy, city bus, control strategy, controlled charging, controller, cost model, dQ/dV, dV/dQ, deep decarbonization, deep reinforcement learning (DRL), diesel engine, distribution network voltage regulation, dual active bridge DC-DC converter, dual-polarization model, eco-driving, efficiency, electric bus, electric power systems, electric vehicle, electric vehicles, electric vehicles (EVs), electric-drive vehicle, electrical installation, electrical power systems, electrical transport, electrical vehicle, energy efficiency, energy management, energy storage systems, energy-optimized vehicle trajectories, environmental impacts, equivalent consumption minimization strategy, fast terminal sliding mode control, fault diagnosis, fractional-order model, frequency regulation, fuel consumption, fuel economy, full-bridge phase-shift DC-DC converter, fuzzy logic system, gearbox, genetic algorithm, global optimization, grid-side effects, heavy-duty vehicles, high power density, home energy management system, hybrid Kalman filter, hybrid electric bulldozer, hybrid electric vehicle, hybrid electric vehicles, hybrid powertrain, hydraulic accumulator, hydraulic power systems, independent-drive technology, input-parallel output-parallel, input-parallel output-series, input-series input-parallel output-series output-parallel, input-series output-parallel, input-series output-series, internal resistances, inverter, life cycle assessment, lithium-ion, lithium-ion battery, marine transport, mathematical modeling, microgrid, more electric aircraft (MEA), multilevel converter, multimodule DC-DC converters, natural gas engine, non-linear, non-uniform air-gap, on-board charger, open-circuit voltage, optimal torque distribution, optimization, optimization algorithm, particle swarm algorithm, particle swarm optimization, photovoltaic, photovoltaic potentials, plug-in electric vehicles, plug-in hybrid, policy incentive, power converters, power fade, power grid, power smoothing, power systems, power-split, power-split hybrid, predictive control, public charging infrastructure, public charging station, public transport, railway, railway transport, range constraint, reused battery, review, road freight transport, road freight vehicle, road operation test, robust estimation, robust optimization, rotor hole placement, rotor structure, route guidance strategies, shift-by-wire (SBW), signalized intersections, simulation, state of charge, state of health, stochastic charging demands, stochastic optimization, supercapacitor, sustainability, sustainable development, switched reluctance motor (SRM), time-varying road network, torque ripple, total cost of ownership, tracked vehicle, traffic signal control, transmission, transportation, ultra-fast charging, ultracapacitor, vehicle, vehicle dynamics model, vehicle selection, vehicle stock turnover model, vehicle-grid integration, vehicle-to-home, wireless power transfer
Abstract

Summary: Transportation systems play a major role in the reduction of energy consumptions and environmental impact all over the world. The significant amount of energy of transport systems forces the adoption of new solutions to ensure their performance with energy-saving and reduced environmental impact. In this context, technologies and materials, devices and systems, design methods, and management techniques, related to the electrical power systems for transportation are continuously improving thanks to research activities. The main common challenge in all the applications concerns the adoption of innovative solutions that can improve existing transportation systems in terms of efficiency and sustainability.

3. Lithium-Ion Battery Cell Cycling and Usage Analysis in a Heavy-Duty Truck Field Study.

Author

Svens, Pontus, Behm, Mårten, and Lindbergh, Göran

Subjects
*LITHIUM-ion batteries, *HYBRID electric vehicles -- Batteries, *HEAVY duty trucks, *ELECTRIC potential, *IMPEDANCE spectroscopy, *STORAGE batteries
Abstract

This paper presents results from a field test performed on commercial power-optimized lithium-ion battery cells cycled on three heavy-duty trucks. The goal with this study was to age battery cells in a hybrid electric vehicle (HEV) environment and find suitable methods for identifying cell ageing. The battery cells were cycled on in-house developed equipment intended for testing on conventional vehicles by emulating an HEV environment. A hybrid strategy that allows battery usage to vary within certain limits depending on driving patterns was used. This concept allows unobtrusive and low-cost testing of battery cells under realistic conditions. Each truck was equipped with one cell cycling equipment and two battery cells. One cell per vehicle was cycled during the test period while a reference cell on each vehicle experienced the same environmental conditions without being cycled. Differential voltage analysis and electrochemical impedance spectroscopy were used to identify ageing of the tested battery cells. Analysis of driving patterns and battery usage was performed from collected vehicle data and battery cell data. [ABSTRACT FROM AUTHOR]

Published
2015
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4. Lithium-Ion Battery Cell Cycling and Usage Analysis in a Heavy-Duty Truck Field Study

Author

Göran Lindbergh, Mårten Behm, and Pontus Svens

Subjects
Truck, Battery (electricity), Engineering, Control and Optimization, dV/dQ, Energy Engineering and Power Technology, Usage analysis, lithium-ion battery, lcsh:Technology, Automotive engineering, Lithium-ion battery, jel:Q40, Heavy duty, jel:Q, jel:Q43, jel:Q42, jel:Q41, jel:Q48, jel:Q47, Electrical and Electronic Engineering, Engineering (miscellaneous), hybrid electric vehicle, jel:Q49, Renewable Energy, Sustainability and the Environment, business.industry, lcsh:T, Electrochemical Impedance Spectroscopy (EIS), jel:Q0, HEV, d V /d Q, jel:Q4, business, Cycling, Energy (miscellaneous)
Abstract

This paper presents results from a field test performed on commercial power-optimized lithium-ion battery cells cycled on three heavy-duty trucks. The goal with this study was to age battery cells in a hybrid electric vehicle (HEV) environment and find suitable methods for identifying cell ageing. The battery cells were cycled on in-house developed equipment intended for testing on conventional vehicles by emulating an HEV environment. A hybrid strategy that allows battery usage to vary within certain limits depending on driving patterns was used. This concept allows unobtrusive and low-cost testing of battery cells under realistic conditions. Each truck was equipped with one cell cycling equipment and two battery cells. One cell per vehicle was cycled during the test period while a reference cell on each vehicle experienced the same environmental conditions without being cycled. Differential voltage analysis and electrochemical impedance spectroscopy were used to identify ageing of the tested battery cells. Analysis of driving patterns and battery usage was performed from collected vehicle data and battery cell data.

Published
2015
Full Text
View/download PDF

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