Requirements for future automotive batteries – a snapshot

Karden, Eckhard; Shinn, Paul; Bostock, Paul; Cunningham, James; Schoultz, Evan; Kok, Daniël

doi:10.1016/j.jpowsour.2004.11.007

Cited by 71 publications

(33 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In hybrid electric vehicles (HEVs), the production of electrical energy is scheduled [2]. During phases when it is economically interesting (e.g., deceleration), boost charging is applied [3]. Energy consumption by the electric power net takes place when the production is uneconomic (e.g., during acceleration or standstill periods).…”

Section: Prediction Of Battery Behavior Subject Tomentioning

confidence: 99%

“…One of the preconditions for this type of use is the ability of the battery to accept charge; the battery is, therefore, continuously operated in a partial state-of-charge (PSOC) (e.g., 70% < SOC < 90%). The intended use, further indicated as high-rate PSOC (HRP-SOC) [4], brings along shallow discharge cycles; <10% depthof-discharge (DOD) [3]. The accumulated ampere-hour (Ah) turnover can, however, be significant.…”

Section: Prediction Of Battery Behavior Subject Tomentioning

confidence: 99%

“…The charge acceptance SOF 2 is a battery requirement that determines the charge balance of the power supply system [5] and provides the response of the battery during boost charging [3]. Charge acceptance is defined as the average current flowing into the battery (i boost ) over a defined period t SOF 2 of time when forcing a constant overvoltage (Fig.…”

Section: State Of Functionmentioning

confidence: 99%

See 2 more Smart Citations

Prediction of Battery Behavior Subject to High-Rate Partial State of Charge

Bree

Veltman

Hendrix

et al. 2009

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Abstract-An online optimization procedure provides the parameters of a nonlinear battery model by taking into account a few minutes of measured current-voltage data. Within a defined range in terms of charge current, state of charge (SOC), and duration of charge and discharge events, the model is able to capture the relevant battery dynamics and predict the behavior for the next few minutes. From the battery behavior during specific events, the state of the battery can be revealed, which is defined as the state of function. Validation, which is carried out on measured current-voltage profiles, shows the accuracy of prediction during the high-rate partial SOC operation. Even with the data measured during a city drive within a microhybrid electrical vehicle, the method is able to predict the voltage level during high-rate discharge pulses (cranking).Index Terms-Battery model, charge acceptance, high-rate partial state-of-charge (HRPSOC), hybrid electric vehicles (HEVs), lead-acid battery, state of function (SOF).

show abstract

Section: Prediction Of Battery Behavior Subject Tomentioning

confidence: 99%

Section: Prediction Of Battery Behavior Subject Tomentioning

confidence: 99%

Section: State Of Functionmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of Battery Behavior Subject to High-Rate Partial State of Charge

Bree

Veltman

Hendrix

et al. 2009

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…In addition, intermetallic compounds, such as Sn-Ni alloys, Sn-Co alloys, Sn-Cu alloys, and Sn-Fe alloys, are employed to solve the volume expansion problem during discharge/charge (Zhang et al, 2008). In the development of high-performance, lithium ion battery, anode structures (Paul et al, 2005;Richter and Eberhard, 2005), FeSn 2 has been shown to have the best composition among the Fe-Sn intermetallic compounds (Naille et al, 2007;Chamas et al, 2011;Wang et al, 2011). The cycling performance of the FeSn 2 intermetallic compound is constant over 50 cycles at a specific capacity higher than 400 mAhg -1 ; the specific capacity is higher for a FeSn 2 /graphene composite electrode, exhibiting a higher capacity than the conventional carbonaceous anode (372 mAhg -1 ) (Mao and Dahn, 1999;Lee et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Fe-Sn Intermetallic Compound Synthesized via Mechanical Alloying and Liquid Phase Sintering

Tosangthum¹,

Meesa-Ard²,

Tongsri³

2017

CMUJNS

View full text Add to dashboard Cite

This investigation aimed to synthesize an iron (Fe)-tin (Sn) intermetallic compound (FeSn 2 ) by using a two-step process of mechanical alloying (MA) and liquid phase sintering (LPS). We demonstrated experimentally that this process was able to produce the FeSn 2 intermetallic compound. Two different mechanical alloying procedures for producing mechanically alloyed Fe-Sn powders were explored. In the first, mixtures of as-recieved Fe and Sn powders were mechanically alloyed. In the second, the as-received Fe powder was pre-milled first and the as-received Sn powder was then added and mechanically alloyed. Under the same liquid phase sintering conditions, the sintered materials produced via the first mechanical alloying procedure showed that the FeSn 2 content increased with increasing sintering time and left small traces of unreacted Fe and Sn materials. In the sintered materials produced via the second mechanical alloying procedure, only the FeSn 2 phase was observed for all sintering times. The two-step process using the second mechanical alloying procedure performed better; it synthesized more of the FeSn 2 intermetallic compound.

show abstract

“…These batteries are remaining as central electric power for starter and also ideal stop starts due to its safety and economy. For high voltage and power, assist functions of hybrid electric vehicle require high power storage systems to sustain repeated charge and discharge reactions even at high rate discharge or under the PSoC (partial state of charge) [1][2][3]. The present performances of lead acid batteries are not adequate for emerging applications.…”

mentioning

confidence: 99%

Effect of Additives on the Performance of Lead Acid Batteries

Rekha¹,

Venkateswarlu²,

Murthy³

et al. 2015

JEPE

View full text Add to dashboard Cite

Effect of titanium dioxide (TiO 2 ) and carbon additives in the respective positive and negative material properties and the influence on the performance of the battery were investigated. The electrode samples were characterized by BET (Brunauer Emmett Teller), XRD (X-ray diffractometer), SEM (scanning electron microscopy) and EIS (electrochemical impedance spectroscopy) to understand the surface area, phase, structure, morphology and electrical conductivity of the respective electrode material. The surface area was obtained as 2.312 m 2 ·g -1 and 0.892 m 2 ·g -1 , respectively for 12% of activated carbon in the expander of negative and 0.70% of TiO 2 (Titanium dioxide) in the PAM (positive active material). The structural analysis reveals an increase in the tetrabasic lead sulfate and also evidenced by well grown crystals in the PAM with the TiO 2 , respectively obtained by XRD and SEM techniques. The impedance spectra analysis shows an increase of electrical conductivity of negative active mass with temperature. The battery results showing two fold enhancements in the charge acceptance were attributed to the high surface area activated carbon in the NAM (negative active material). The materials properties of electrodes and their influence on the battery performance were discussed.

show abstract

Requirements for future automotive batteries – a snapshot

Cited by 71 publications

References 5 publications

Prediction of Battery Behavior Subject to High-Rate Partial State of Charge

Prediction of Battery Behavior Subject to High-Rate Partial State of Charge

Fe-Sn Intermetallic Compound Synthesized via Mechanical Alloying and Liquid Phase Sintering

Effect of Additives on the Performance of Lead Acid Batteries

Contact Info

Product

Resources

About