Insulation detection of electric vehicle batteries

Dai, Qiqi; Zhu, Zhaowu; Huang, Denggao; Du, Mingxing; Wei, Kexin

doi:10.1063/1.5041163

Cited by 2 publications

(3 citation statements)

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“…After conducting a thorough literature review [18][19][20][21][22][23][24][25], we created four distinct conditions based on battery terminal voltage and resistance and analyzed the errors in the detection system, the accuracy, and the response. In the literature, insulation resistance theory is used to identify the battery's insulation, which functions as high resistance between the vehicle power battery and the chassis to prevent current from contacting the chassis [28][29][30][31][32].…”

Section: Contribution Of This Studymentioning

confidence: 99%

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FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

Bukya,

Padma,

Kumar

et al. 2024

WEVJ

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As the adoption of electric vehicles (EVs) continues to rise, attention has switched to ensuring the safety of EV operations. The exponential growth in battery technology over the past several years has changed the face of energy storage and sparked a revolution in several industries. The degradation of battery insulation during regular use is a significant concern. The high voltage (HV) and current levels in HV electric vehicles pose a significant electrical threat.The advancement of electric vehicle technology has led to an increasing presence of HV electric equipment throughout the vehicle. The insulation strength and early health status detection of the batteries are essential in ensuring safety in EVs. This paper studies the different insulation detection techniques and the development of adaptive filter (AF) algorithms based on field-programmable gate arrays (FPGAs) for insulation detection. FPGAs are amongst the most accurate and fast detection techniques among all the insulation detection techniques used so far in electric vehicles. This study proposes an FPGA-based VFF-RLS algorithm for effectively implementing insulation detection in EVs. The experimental test results using FPGAs demonstrate that the proposed method can rapidly monitor changes in insulation resistance (IR). The VFFRLS-based FPGA technique works sufficiently well to reduce errors when dealing with variations in voltage and resistance conditions at the battery terminals.

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Section: Contribution Of This Studymentioning

confidence: 99%

“…It is necessary to detach the battery case from any external electrical equipment throughout the measurement. The complexity of this procedure precludes its online implementation [23][24][25]. Electrical measuring tools that use megohms are common.…”

Section: Introductionmentioning

confidence: 99%

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

Bukya,

Padma,

Kumar

et al. 2024

WEVJ

View full text Add to dashboard Cite

show abstract

“…After a thorough literature review [18][19][20][21][22][23][24][25], this paper focused on battery insulation detection for safety reasons. For the insulation detection of the battery, which is a highvalue resistor linked between the battery and the vehicle's chassis so that the current cannot come into touch with the chassis, the theory of insulation resistance is employed in the literature [26,27].…”

Section: Introductionmentioning

confidence: 99%

Insulation Detection of Electric Vehicles by Using FPGA-Based Recursive-Least-Squares Algorithm

Bukya,

Malthesh,

Kumar

et al. 2024

WEVJ

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The principal reason for why electric vehicles are required to serve as an alternative to the more widespread gasoline and petroleum-based vehicles used in modern times is due to the use of an environmentally conscious means of transportation or to circumvent the tumultuous economic dealings of the compressed natural gas and petroleum industries. There is a growing daily need for large, high-voltage e-mobilities, mostly driven by anticipated advancements in electric vehicle technology. Consequently, all of the various components of these vehicles must be able to be accommodated within a limited and compact space. The battery is an essential component in e-mobility. The insulation, health monitoring, and problem diagnostics of lithium-ion (Li-ion) batteries are of utmost importance in ensuring these vehicles’ safety and efficient functioning. Real-time and fast insulation detection techniques are required to ensure safety in high-voltage (HV) vehicles and to avoid insulation failure. This paper used the Recursive-Least-Squares (RLS) algorithm because it is computationally efficient for building the insulation detection system. Based on the RLS technique, we proposed field programmable gate array (FPGA)-based algorithms and implemented them using VHDL coding. The FPGA is very fast at detection, and the error is lower. We validated the FPGA results with MATLAB simulation results from the existing literature, and the errors are much less when using FPGAs. An experimental hardware platform was also created to validate the proposed FPGA technique with various motor and resistive loadings on electric vehicles (EVs).

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Insulation detection of electric vehicle batteries

Cited by 2 publications

References 1 publication

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

Insulation Detection of Electric Vehicles by Using FPGA-Based Recursive-Least-Squares Algorithm

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