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An optimized fpga-based hardware accelerator for physics-based ekf for battery cell management
AK Madsen, MS Trimboli… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Battery technology is the cornerstone of HEVs. Model Predictive Control coupled with
physics-based model (PBM) is an effective technique for battery management systems …
physics-based model (PBM) is an effective technique for battery management systems …
HDL code optimizations: Impact on hardware implementations and CAD tools
With the dramatic increase in utilization of FPGAs for hardware designs in various
application domains, CAD tools play a vital role in the development and implementation of …
application domains, CAD tools play a vital role in the development and implementation of …
Towards composing optimized bi-directional multi-ported memories for next-generation FPGAs
With the proliferation of embedded computing, there has been a dramatic increase in
utilization of FPGAs to accelerate real-time compute/data-intensive applications on …
utilization of FPGAs to accelerate real-time compute/data-intensive applications on …
Optimizing Density-Based Ant Colony Stream Clustering Using FPGA-Based Hardware Accelerator
JR Graf, DG Perera - 2023 IEEE International Symposium on …, 2023 - ieeexplore.ieee.org
In the era of IoT, a massive amount of data will be generated from various sensors and
corresponding IoT devices. Density-based Ant Colony Stream Clustering (ACSC) is one of …
corresponding IoT devices. Density-based Ant Colony Stream Clustering (ACSC) is one of …
[HTML][HTML] Composing optimized embedded software architectures for physics-based EKF-MPC smart sensor for Li-ion battery cell management
AK Madsen, DG Perera - Sensors, 2022 - mdpi.com
Efficient battery technology is imperative for the adoption of clean energy automotive
solutions. In addition, efficient battery technology extends the useful life of the battery as well …
solutions. In addition, efficient battery technology extends the useful life of the battery as well …
Optimized counter-based multi-ported memory architectures for next-generation FPGAs
With the dramatic increase in utilization of FPGAs to accelerate compute/data intensive
applications on embedded platforms, providing customized/optimized multi-ported memory …
applications on embedded platforms, providing customized/optimized multi-ported memory …
[BUCH][B] Optimized embedded and reconfigurable hardware architectures and techniques for data mining applications on mobile devices
SN Shahrouzi - 2018 - search.proquest.com
Increasingly, most of the electronic devices which are surrounding us, are designed in
mobile (portable) and embedded systems platforms; therefore, the global market for these …
mobile (portable) and embedded systems platforms; therefore, the global market for these …
Stability Enhancing SRAM cell for low power LUT Design
SM Swamynathan, V Bhanumathi - Microelectronics Journal, 2020 - Elsevier
Abstract Field Programmable Gate Array (FPGA) is the most recently used platform for real
time applications such as security and multimedia processing. In FPGA map**, there is …
time applications such as security and multimedia processing. In FPGA map**, there is …
An FPGA-Based Linear Kalman Filter for a Two-Phase Buck Converter Application
DJM Abillar - 2024 - search.proquest.com
Abstract The deployment of Linear Kalman Filters with high computational performance to
the field of multi-phase power converters has yet to be thoroughly explored in current …
the field of multi-phase power converters has yet to be thoroughly explored in current …
FPGA-Based Accelerators for Convolutional Neural Networks on Embedded Devices
JP Miro - 2020 - search.proquest.com
Within the last decade, there has been a rapid growth in utilization of machine learning in
various fields and applications. Techniques and algorithms employed for machine learning …
various fields and applications. Techniques and algorithms employed for machine learning …