Thermal Behavior of Two Commercial Li-Ion Batteries for Plug-in Hybrid Electric Vehicles

2014 ◽  
Author(s):  
Ehsan Samadani ◽  
Leo Gimenez ◽  
William Scott ◽  
Siamak Farhad ◽  
Michael Fowler ◽  
...  
Keyword(s):  
Thermal Behavior ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Li Ion Batteries ◽  
Li Ion ◽  
Hybrid Electric

Analysis of Li-Ion Battery Characteristics and Thermal Behavior

2013 ◽  
Author(s):  
Krishnashis Chatterjee ◽  
Pradip Majumdar ◽  
David Schroeder ◽  
S. Rao Kilaparti
Keyword(s):  
Thermal Behavior ◽  
Lithium Ion Batteries ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Internal Heat ◽  
Lithium Ion ◽  
Test Facility ◽  
Transportation Industry ◽  
Ambient Temperatures ◽  
Hybrid Electric

Development of electric and hybrid electric vehicles is of great interest to the transportation industry due to increased demand and cost of imported fuel, uncertainty in the steady supply of oil, and increased standards for reduced emissions. Lithium-ion batteries are considered as one of the leading types for the battery systems to be employed in electric vehicles (EVs) or hybrid electric vehicles (HEVs). Using a regenerative braking system and storing it in battery stacks and using it later for propulsion and acceleration can improve the overall efficiency and reduction of fuel consumption. The objective of this study is to evaluate experimentally the battery performance considering different discharge and charge rates, and investigate the thermal behavior and thermal management requirements of the batteries under a variety of environmental conditions. An experimental test facility has been developed to evaluate thermal performance during charging and discharging modes. Environmental temperatures were varied in environmental chamber to analyze their effects on the charging and discharging patterns of the battery by using the CADEX battery analyzer in order to find the temperature range for optimum battery performance. The batteries were monitored with thermal sensors and a thermal imaging camera while they were run through different load scenarios. In the present study, lithium-ion batteries have been tested and battery performance in terms of polarization curves and discharge capacity were measured using a computerized battery analyzer system for different discharge and charge rates, and over a range of ambient temperatures. Results indicate that at higher discharge and charge rates battery performance decreases due to increased polarization losses, which results in increased internal heat generation and temperature of the battery. Battery performance also depends strongly on the ambient temperature conditions.

scholarly journals Thermoelectric Modeling and Online SOC Estimation of Li-Ion Battery for Plug-In Hybrid Electric Vehicles

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Aishwarya Panday ◽  
Hari Om Bansal ◽  
Pramod Srinivasan
Keyword(s):  
Electric Vehicles ◽  
Energy Demand ◽  
Hybrid Electric Vehicles ◽  
Environmental Concern ◽  
Open Circuit ◽  
Li Ion Battery ◽  
Vehicle Performance ◽  
Li Ion ◽  
Hybrid Electric ◽  
Thermoelectric Model

The increasing oil price, energy demand, and environmental concern are leading to a global switch towards Plug-In Hybrid Electric Vehicles (PHEVs). In a PHEV, Li-ion battery is considered as the primary propelling source. Therefore, an accurate battery model is required to predict theI-Vcharacteristic and dynamic behavior of a battery. This paper presents a highly effective thermoelectric model of Li-ion battery developed in Simulink. An algorithm is proposed for estimation of state of charge (SOC) and open circuit voltage (OCV) adaptively to notify the exact SOC level for better utilization of battery power and optimal vehicle performance. Thermal behavior of Li-ion battery is investigated for wide temperature range and its effect on resistance, capacity, and OCV is recorded. The minimum SOC level to which battery can get depleted is calculated using gradient method. The proposed simulation results are analyzed with those of earlier models and found to be better.

Investigation of aging mechanisms of high power Li-ion cells used for hybrid electric vehicles

2011 ◽  
Vol 196 (16) ◽  
pp. 6841-6846 ◽  
Author(s):  
Sandrine Bourlot ◽  
Philippe Blanchard ◽  
Stéphanie Robert
Keyword(s):  
Electric Vehicles ◽  
High Power ◽  
Hybrid Electric Vehicles ◽  
Li Ion ◽  
Hybrid Electric ◽  
Aging Mechanisms

scholarly journals On the Hybridization of Microcars with Hybrid UltraCapacitors and Li-Ion Batteries Storage Systems

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3230 ◽  
Author(s):  
Fernando Ortenzi ◽  
Natascia Andrenacci ◽  
Manlio Pasquali ◽  
Carlo Villante
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Storage Systems ◽  
Specific Power ◽  
Li Ion Batteries ◽  
Energy Storage Systems ◽  
Current Output ◽  
Hybrid Storage ◽  
Li Ion

The objective proposed by the EU to drastically reduce vehicular CO2 emission for the years up to 2030 requires an increase of propulsion systems’ efficiency, and accordingly, the improvement their technology. Hybrid electric vehicles could have a chance of achieving this, by recovering energy during braking phases, running in pure electric mode and allowing the internal combustion engine to operate under better efficiency conditions, while maintaining traditionally expected vehicle performances (mileage, weight, available on-board volume, etc.). The energy storage systems for hybrid electric vehicles (HEVs) have different requirements than those designed for Battery Electric Vehicles (BEVs); high specific power is normally the most critical issue. Using Li-ion Batteries (LiBs) in the designing of on-board Energy Storage Systems (ESS) based only on power specifications gives an ESS with an energy capacity which is sufficient for vehicle requirements. The highest specific power LiBs are therefore chosen among those technologically available. All this leads to an ESS design that is strongly stressed over time, because current output is very high and very rapidly varies, during both traction and regeneration phases. The resulting efficiency of the ESS is correspondingly lowered, and LiBs lifetime can be relevantly affected. Such a problem can be overcome by adopting hybrid storage systems, coupling LiBs and UltraCapacitors (UCs); by properly dimensioning and controlling the ESS’ components, in fact, the current output of the batteries can be reduced and smoothed, using UCs during transients. In this paper, a simulation model, calibrated and validated on an engine testbed, has been used to evaluate the performances of a hybrid storage HEV microcar under different operative conditions (driving cycles, environment temperature and ESS State of Charge). Results show that the hybridization of the powertrain may reduce fuel consumption by up to 27%, while LiBs lifetime may be more than doubled.

Modeling the Thermal Behavior of Internal Combustion in Hybrid Electric Vehicles With and Without Exhaust Gas Heat Recirculation

2012 ◽  
Author(s):  
Teresa Donateo ◽  
Damiano Pacella
Keyword(s):  
Thermal Behavior ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Gasoline Engine ◽  
Operating Conditions ◽  
Lumped Parameter Model ◽  
Exhaust Gas ◽  
Exhaust Gases ◽  
Heat Recirculation ◽  
Hybrid Electric

A first-order lumped-parameter model for the prediction of thermal behavior of a single-cylinder gasoline engine for Hybrid Electric Vehicles (HEVs) has been implemented. The model is coupled with a zero-dimension in-cylinder model that evaluates the working cycle of the engine according to the actual operating conditions and calculates the temperature of the exhaust gases, the overall efficiency of the engine and the exhaust gases flow rate. The model takes into account the possibility of using exhaust gas heat recirculation in order to enhance engine warm-up during cold start which improves its efficiency. The supervisory strategy takes into account not only predicted speed and ambient and road conditions along a future time window but also actual battery state of the charge and engine temperature to select the optimal power split between the ICE-generator group and the batteries. The proposed model represents an improvement with respect to a previous investigation of the authors where the temperature of the engine were assumed to increase/decrease of on Celsius degree in each seconds according to the state of the engine (ON/OFF).

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