Analysis of automotive lead-acid batteries exchange rate on the base of field data acquisition

Murken, M.; Kubel, D.; Thanheiser, Andeas; Gratzfeld, Peter

doi:10.1109/esars-itec.2018.8607507

Cited by 7 publications

(6 citation statements)

References 22 publications

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“…With the best identified solution (BISR), the risk of cranking failure is strongly reduced with respect to the B system, ensuring starting even in degraded battery conditions up to a residual SOC of 10%. Moreover, the life of the batteries is extended, avoiding their frequent inspection and replacement [7]. The proposed scheme is suitable to many other important stand-alone applications such as civil construction sites, safety systems, etc., and can contribute to manage peak demands in any high power device [34].…”

Section: Discussionmentioning

confidence: 99%

“…A huge number of statistical data have been collected during a period of ten years, from 300 gensets for healthcare applications [4]. It can be inferred that most of the unsuccessful gensets cranking are due to the failure of lead-acid batteries, quantified in at least 30% of total failures [5,6,7]. From the statistics, the percentage of non-functioning of the genset is equal to 7% of the interventions in a year.…”

Section: Introductionmentioning

confidence: 99%

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High reliability storage systems for genset cranking

Boccaletti

Elia

Pasquali

2020

Journal of Energy Storage

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High reliability storage systems for genset cranking

Boccaletti

Elia

Pasquali

2020

Journal of Energy Storage

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“…In a previous work, Mürken et al already investigated the failure behaviour of the entire battery based on workshop data on battery replacement. In this approach, however, there was no information about the reason for the failure and consequently aged batteries in a still functional state were also included [9].…”

Section: Lifetime Distributionmentioning

confidence: 99%

“…In [9], Mürken et al chose the approach of using workshop data on the battery exchange of the vehicle battery and its lifetime values. With the help of the individual lifetime values, it was possible to determine an ageing model based on a Weibull distribution for the failure of the battery.…”

Section: Introductionmentioning

confidence: 99%

Methodology for Determining Time-Dependent Lead Battery Failure Rates from Field Data

2021

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The safety requirements in vehicles continuously increase due to more automated functions using electronic components. Besides the reliability of the components themselves, a reliable power supply is crucial for a safe overall system. Different architectures for a safe power supply consider the lead battery as a backup solution for safety-critical applications. Various ageing mechanisms influence the performance of the battery and have an impact on its reliability. In order to qualify the battery with its specific failure modes for use in safety-critical applications, it is necessary to prove this reliability by failure rates. Previous investigations determine the fixed failure rates of lead batteries using data from teardown analyses to identify the battery failure modes but did not include the lifetime of these batteries examined. Alternatively, lifetime values of battery replacements in workshops without knowing the reason for failure were used to determine the overall time-dependent failure rate. This study presents a method for determining reliability models of lead batteries by investigating individual failure modes. Since batteries are subject to ageing, the analysis of lifetime values of different failure modes results in time-dependent failure rates of different magnitudes. The failure rates of the individual failure modes develop with different shapes over time, which allows their ageing behaviour to be evaluated.

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“…A single battery connected to either a DC/DC with an alternator or high voltage battery stack on the other side will not be sufficient. In [7] and [8] the lead acid batteries haven been analyzed. First shows that all batteries have failed after 22 years, and stating 1096 FIT.…”

Section: Hardware Redundancy Conceptsmentioning

confidence: 99%

Semiconductor Safety Concepts for the Power Distribution of Automated Driving

Schumi¹,

Watzenig²

2019

SAE Intl. J CAV

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Automated driving is a highly complex idea. It involves mechanics, electronics and chemistry, artificial intelligence, human intelligence and high computational efforts. Apart from those aspects, the automated intelligence is run through electricity. An unintended interrupt can easily lead to a hazard. Therefore, a highly reliable power distribution has to be developed. This work focus on the reliability calculation of such a power distribution concept. It points out what is and will be required in future such that the algorithms for the path planning and control are running in a safe environment according to the ISO 26262 standard.

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Analysis of automotive lead-acid batteries exchange rate on the base of field data acquisition

Cited by 7 publications

References 22 publications

High reliability storage systems for genset cranking

High reliability storage systems for genset cranking

Methodology for Determining Time-Dependent Lead Battery Failure Rates from Field Data

Semiconductor Safety Concepts for the Power Distribution of Automated Driving

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