A Real-Time Interface for Xcos – an illustrative demonstration using a battery management system

•Download as PPTX, PDF•

0 likes•3,012 views

As part of an EU-founded research project, the Scilab based development tool LoRra (Low-Cost Rapid Control Prototyping Platform) was created. This allows the realization of the continuously model based and highly automated Rapid Control Prototyping (RCP) design process for embedded software within the Scilab / Xcos environment (cf. Figure 1). Based on the application battery management system (BMS), this paper presents a Real-Time interface for Scilab.

1www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.Copyright © ESI Group, 2019. All rights reserved.
www.esi-group.com
A Real-Time Interface for Xcos
Demonstrated on a battery management system
Sven Jacobitz, Ostfalia University of Applied Sciences
Scilab Conference 2019

2www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Agenda
• Introduction
• Requirements to the RTI
• Concept of the RTI
• Realization of the RTI
• Verification and application
• Kalman Filter design for SoC estimation
• Verification by online simulation
• Summary and outlook

3www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Project LoCoRCP
Introduction
04/2014 – 09/2014 Feasibility study towards a Low-Cost RCP system with open-source platform for
developing battery management systems
01/2017 – 12/2019 Low-Cost Rapid Control Prototyping system with open source platform for
functional development of embedded mechatronic systems (LoCoRCP)

4www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Concept of the Low-Cost RCP Platform (LoRra)
Introduction

5www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Requirements to the RTI
• Basic-blocks for controlling the hardware interfaces
• Automated programming of the target hardware
• Generation of efficient C-code
• Generation and configuration of the real-time application
• Compiling, Linking, …
• Programming the hardware
• Modular structure
• Flexibility
• Extensibility

6www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Overall concept
Concept of the RTI
• Generating code fragments from the model
• Linking fragments, code templates and basic software
• Call the compiler and linker
• Programm the target hardware

7www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Software structure of the real-time application
Concept of the RTI
Reference: CMSIS – Arm Developer

8www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Realization of the RTI
• Written in Scilab Language
• Controlling hardware peripherals using basic blocks
• Basic blocs as sci function:
[code_fragments] = foo(blkID, topology_struct)
• Fist implementation: STM32F7
• Basis software generated by STM32CubeMX
• Using FreeRTOS as operating system

9www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
BMS test bench for verification

10www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Kalman Filter design for SoC estimation – modelling the battery
Verification and application
Equivalent circuit model
Validation of the battery model using the DST power cycle

11www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Kalman Filter design for SoC estimation – functional design
Verification and application
Discrete EKF with continuous system model

12www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Kalman Filter design for SoC estimation – MiL-Simulation
Verification and application
Validation of the EKF using the MiL simulation
0 0.2 0.4
80
85
90
95
100
105
SoCin%
Time in s

13www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Composition of the online simulation
Verification and application

14www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Verification by online simulation
Verification and application

15www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Summary and outlook
Summary
• LoRra approach for continuously model based design
• Real-Time Interface between Xcos model an real-time application
• Comfortable linking hardware interfaces to the model
• Automated implementation of generated code
• Extendable functionality and flexible target hardware
• Verification by means of a BMS Function
Outlook
• Graphical user interface for measurement and calibration
• LoRra Scilab Toolbox in Atoms

16www.esi-group.com
Copyright © ESI Group, 2019. All rights reserved.
Thank you

Machine Learning Training with Python: https://www.edureka.co/python ) This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on "AI vs Machine Learning vs Deep Learning" talks about the differences and relationship between AL, Machine Learning and Deep Learning. Below are the topics covered in this tutorial: 1. AI vs Machine Learning vs Deep Learning 2. What is Artificial Intelligence? 3. Example of Artificial Intelligence 4. What is Machine Learning? 5. Example of Machine Learning 6. What is Deep Learning? 7. Example of Deep Learning 8. Machine Learning vs Deep Learning Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm

The describing functionkatamthreveni

Keras vs Tensorflow vs PyTorch | Deep Learning Frameworks Comparison | Edureka

Edureka!

** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learni... ** This Edureka PPT on "Keras vs TensorFlow vs PyTorch" will provide you with a crisp comparison among the top three deep learning frameworks. It provides a detailed and comprehensive knowledge about Keras, TensorFlow and PyTorch and which one to use for what purposes. Following topics will be covered in this PPT: Introduction to keras, Tensorflow, Pytorch Parameters of Comparison Level of API Speed Architecture Ease of Code Debugging Community Support Datasets Popularity Suitable use cases Follow us to never miss an update in the future. Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

Reinforcement Learning- AI Track

Netscribes

Reinforcement learning is the next revolution in artificial intelligence (AI). As a feedback-driven and agent-based learning technology stack that is suitable for dynamic environments, reinforcement learning methodologies leverage self-learning capabilities and multi-agent potential to address issues that are unaddressed by other AI techniques. In contrast, other machine learning, AI techniques like supervised learning and unsupervised learning are limited to handling one task at a given time. With the advent of Artificial General Intelligence (AGI), reinforcement learning becomes important in addressing other challenges like multi-tasking of intelligent applications across different ecosystems. The technology appears set to drive the adoption of AGI technologies, with companies futureproofing their AGI roadmaps by leveraging reinforcement learning techniques. This report provides an analysis of the startups focused on reinforcement learning techniques across industries. To purchase the complete report visit https://www.researchonglobalmarkets.com/reinforcement-learning-startup-ecosystem-analysis.html. Netscribes offers customizations to this report depending on your specific needs. To request a customized report, contact info@netscribes.com. To purchase the full report, write to us at info@netscribes.com

Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...

Scilab

Rapid Prototyping becomes very popular for faster algorithm development. With a graphical representation of the algorithm and the possibility to simulate complete designs, engineers can help to reduce the time to market. A tight integration with MPLAB-X IDE allows the combination with standard C-coding to easily get mass production code. This solution was used to optimise a sensorless field oriented controlled PMSM motor driven pump efficiency. A model for closed loop simulation was developed using X2C blocks [1][2] for the FOC algorithm based on the existing application note AN1292 [3]. Enhancements to the original version were implemented and verified with simulation. The X2C Communicator was used to generate code of the new algorithm. With the online debugging capabilities and the scope functionality the algorithm was further tuned and optimized to achieve the highest possible efficiency of the pump.

ApI first Microservices meetup

Oracle Developers

Electric motor optimization

Scilab

Peter Dirnberger, Stefan Fragner Nowadays, the market demands compact, stable, easy maintain-and customizable embedded systems. To meet these requirements, afast, simple and reliable implementation of control algorithms is crucial. This paper demonstrateshow model-based design with the help of Scilab/Xcosand X2C, developed by LCM,simplifiesand speedsup the development and implementation of controlalgorithms. As an example, acontrol schemefor a bearingless motoris presented.

FUNDAMENTALS OF COMPUTER DESIGN

venkatraman227

FROM FPGA TO ASIC IMPLEMENTATION OF AN OPENRISC BASED SOC FOR VOIP APPLICATION

ieijjournal1

ASIC (Application Specific Integrated Circuit) design verification takes as long as the designers take to describe, synthesis and implement the design. The hybrid approach, where the design is first prototyped on an FPGA (Field-Programmable Gate Array) platform for functional validation and then implemented as an ASIC allows earlier defect detection in the design process and thus allows a significant time saving. This paper deals with a CMOS standard-cell ASIC implementation of a SoC (System on Chip) based on the OpenRISC processor for Voice over IP (VoIP) application; where a hybrid approach is adopted. The architecture of the design is mainly based on the reuse of IPs cores described at the RTL level. This RTL code is technology-independent; hence the design can be ported easily from FPGA to ASIC. Results show that the SoC occupied the area of 2.64mm². Regarding the power consumption, RTL power estimation is given.

FROM FPGA TO ASIC IMPLEMENTATION OF AN OPENRISC BASED SOC FOR VOIP APPLICATION

ieijjournal

FROM FPGA TO ASIC IMPLEMENTATION OF AN OPENRISC BASED SOC FOR VOIP APPLICATION

ieijjournal

"Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoC...

Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.embedded-vision.com/platinum-members/qualcomm/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit-baum For more information about embedded vision, please visit: http://www.embedded-vision.com Felix Baum, Director of Product Management for AI Software at Qualcomm, presents the "Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoCs" tutorial at the May 2019 Embedded Vision Summit. Increasingly, machine learning models are being deployed at the edge, and these models are getting bigger. As a result, we are hitting the constraints of edge devices: bandwidth, performance and power. One way to reduce ML computation demands and increase power efficiency is quantization—a set of techniques that reduce the number of bits needed, and hence reduce bandwidth, computation and storage requirements. Qualcomm Snapdragon SoCs provide a robust hardware solution for deploying ML applications in embedded and mobile devices. Many Snapdragon SoCs incorporate the Qualcomm Artificial Intelligence Engine, comprised of hardware and software components to accelerate on-device ML. In this talk, Baum explores the performance and accuracy offered by the accelerator cores within the AI Engine. He also highlights the tools and techniques Qualcomm offers for developers targeting these cores, utilizing intelligent quantization to deliver optimal performance with low power consumption while maintaining algorithm accuracy.

Open power topics20191023

Yutaka Kawai

Cisco project ideasVIT University

Aircraft Simulation Model and Flight Control Laws Design Using Scilab and XCos

Scilab

The increasing demand in the aerospace industry for safety and performance has been requiring even more resourceful flight control laws in all market segments, since the airliners until the newest flying cars. The de facto standard for flight control laws design makes extensive use of tools supporting numerical computing and dynamic systems visual modeling, such that Scilab and XCos can nicely suit this kind of development.

Matt Wright - The Application GridSaul Cunningham

Cell Today and Tomorrow - IBM Systems and Technology Group

Slide_N

A new era of opensource hardware Pakistan's story MERL.pdf

Ali Ahmed, Ph.D.

Webinar presentation on AUTOSAR Multicore Systems

KPIT

Bluetooth low energy- Kashyap Velpuru

kashyap velpuru

SLTS kernel and base-layer development in the Civil Infrastructure Platform

Yoshitake Kobayashi

The Civil Infrastructure Platform (CIP) is creating a super long-term supported (SLTS) open source "base layer" for industrial grade software. We have been working on security fixes and some backported features since the moment we decided that Linux kernel v4.4 would be the first SLTS version. In this talk, we will describe the current development status of the SLTS kernel and testing environment. First, we'll explain our kernel development policy. Then, we'll describe the functionality that has been backported. Second, we'll talk about testing before using our base-layer on real products. We have been developing a test framework to collect and share test results. To build it, we don't want to duplicate existing work such as KernelCI, Fuego and others. For that reason, we are trying to collaborate and contribute to such projects. And finally, we'll discuss the future roadmap.

BrightTalk session-The right SDS for your OpenStack Cloud

Eitan Segal

CWIN16 UK Event - The Future of Infrastructure

Gunnar Menzel

What technologies made the biggest impact and which ones will impact us in the future? Will technology advances slow down, stay the same of speed up? What trends and technologies should I consider? The Digital agenda, shifting business models, as well as the need for speed at lower cost are impacting, shaping and forming new technologies; creating new opportunities at an ever increasing pace. During the 30 min presentation Gunnar will outline the various key infrastructure related trends and technologies that are and will be key going forward.

Model-driven Telemetry: The Foundation of Big Data Analytics

Cisco Canada

An Update on Arm HPC

inside-BigData.com

In this deck from the Linaro Connect conference, Brent Gorda presents an update on ARM for HPC. "Arm-based systems are showing up in the HPC community and new silicon is coming. The architecture has also been selected for several of the exascale projects worldwide. Brent will talk about the aspects of Arm that are attractive to the HPC community, updates on projects and what we as a community can do to help accelerate adoption in this space." Watch the video: https://insidehpc.com/2019/09/an-update-on-arm-in-hpc/ Learn more: https://developer.arm.com/tools-and-software/server-and-hpc Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Linux Akraino Blueprint

Liz Warner

Statistical Analysis for Robust Design

Scilab

Asteroidlanding - Scilab conference 2019 Keynote

Scilab

Similar to A Real-Time Interface for Xcos – an illustrative demonstration using a battery management system

X2C -a tool for model-based control development and automated code generation...

Scilab

FUNDAMENTALS OF COMPUTER DESIGN

venkatraman227

FROM FPGA TO ASIC IMPLEMENTATION OF AN OPENRISC BASED SOC FOR VOIP APPLICATION

ieijjournal1

FROM FPGA TO ASIC IMPLEMENTATION OF AN OPENRISC BASED SOC FOR VOIP APPLICATION

ieijjournal

FROM FPGA TO ASIC IMPLEMENTATION OF AN OPENRISC BASED SOC FOR VOIP APPLICATION

ieijjournal

"Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoC...

Edge AI and Vision Alliance

Open power topics20191023

Yutaka Kawai

Cisco project ideasVIT University

Aircraft Simulation Model and Flight Control Laws Design Using Scilab and XCos

Scilab

Matt Wright - The Application GridSaul Cunningham

Cell Today and Tomorrow - IBM Systems and Technology Group

Slide_N

A new era of opensource hardware Pakistan's story MERL.pdf

Ali Ahmed, Ph.D.

Webinar presentation on AUTOSAR Multicore Systems

KPIT

Bluetooth low energy- Kashyap Velpuru

kashyap velpuru

SLTS kernel and base-layer development in the Civil Infrastructure Platform

Yoshitake Kobayashi

BrightTalk session-The right SDS for your OpenStack Cloud

Eitan Segal

CWIN16 UK Event - The Future of Infrastructure

Gunnar Menzel

Model-driven Telemetry: The Foundation of Big Data Analytics

Cisco Canada

An Update on Arm HPC

inside-BigData.com

Linux Akraino Blueprint

Liz Warner

Similar to A Real-Time Interface for Xcos – an illustrative demonstration using a battery management system (20)

X2C -a tool for model-based control development and automated code generation...

FUNDAMENTALS OF COMPUTER DESIGN

FROM FPGA TO ASIC IMPLEMENTATION OF AN OPENRISC BASED SOC FOR VOIP APPLICATION

"Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoC...

Open power topics20191023

Cisco project ideas

Aircraft Simulation Model and Flight Control Laws Design Using Scilab and XCos

Matt Wright - The Application Grid

Cell Today and Tomorrow - IBM Systems and Technology Group

A new era of opensource hardware Pakistan's story MERL.pdf

Webinar presentation on AUTOSAR Multicore Systems

Bluetooth low energy- Kashyap Velpuru

SLTS kernel and base-layer development in the Civil Infrastructure Platform

BrightTalk session-The right SDS for your OpenStack Cloud

CWIN16 UK Event - The Future of Infrastructure

Model-driven Telemetry: The Foundation of Big Data Analytics

An Update on Arm HPC

Linux Akraino Blueprint

Recently uploaded

MCQ Soil mechanics questions (Soil shear strength).pdf

Osamah Alsalih

Planning Of Procurement o different goods and services

JoytuBarua2

Technical Drawings introduction to drawing of prisms

heavyhaig

basic-wireline-operations-course-mahmoud-f-radwan.pdf

NidhalKahouli2

Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf

fxintegritypublishin

Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.

Swimming pool mechanical components design.pptx

yokeleetan1

Forklift Classes Overview by Intella Parts

Intella Parts

一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理

zwunae

IIT毕业证原版定制【微信：176555708】【伊利诺伊理工大学毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。 ◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆ 【主营项目】一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！二.真实使馆公证(即留学回国人员证明,不成功不收费) 三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度) 如果您处于以下几种情况： ◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】 ◇面对父母的压力，希望尽快拿到； ◇不清楚认证流程以及材料该如何准备； ◇回国时间很长，忘记办理； ◇回国马上就要找工作，办给用人单位看； ◇企事业单位必须要求办理的 ◇需要报考公务员、购买免税车、落转户口 ◇申请留学生创业基金留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！学历顾问：微信：176555708

Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf

Teleport Manpower Consultant

DESIGN AND ANALYSIS OF A CAR SHOWROOM USING E TABS

itech2017

Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B

Sreedhar Chowdam

NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...

Amil Baba Dawood bangali

Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad

Tutorial for 16S rRNA Gene Analysis with QIIME2.pdf

aqil azizi

Understanding Inductive Bias in Machine Learning

SUTEJAS

This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models. The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees. By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.

KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions

Victor Morales

Recycled Concrete Aggregate in Construction Part III

Aditya Rajan Patra

一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单专业办理

zwunae

UMich毕业证原版定制【微信：176555708】【密歇根大学|安娜堡分校毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。 ◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆ 【主营项目】一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！二.真实使馆公证(即留学回国人员证明,不成功不收费) 三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度) 如果您处于以下几种情况： ◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】 ◇面对父母的压力，希望尽快拿到； ◇不清楚认证流程以及材料该如何准备； ◇回国时间很长，忘记办理； ◇回国马上就要找工作，办给用人单位看； ◇企事业单位必须要求办理的 ◇需要报考公务员、购买免税车、落转户口 ◇申请留学生创业基金留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！学历顾问：微信：176555708

Heap Sort (SS).ppt FOR ENGINEERING GRADUATES, BCA, MCA, MTECH, BSC STUDENTS

Soumen Santra

Fundamentals of Induction Motor Drives.pptx

manasideore6

14 Template Contractual Notice - EOT Application

SyedAbiiAzazi1

Recently uploaded (20)

MCQ Soil mechanics questions (Soil shear strength).pdf

Planning Of Procurement o different goods and services

Technical Drawings introduction to drawing of prisms

basic-wireline-operations-course-mahmoud-f-radwan.pdf

Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf

Swimming pool mechanical components design.pptx

Forklift Classes Overview by Intella Parts

一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理

Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf

DESIGN AND ANALYSIS OF A CAR SHOWROOM USING E TABS

Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B

NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...

Tutorial for 16S rRNA Gene Analysis with QIIME2.pdf

Understanding Inductive Bias in Machine Learning

KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions

Recycled Concrete Aggregate in Construction Part III

一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单专业办理

Heap Sort (SS).ppt FOR ENGINEERING GRADUATES, BCA, MCA, MTECH, BSC STUDENTS

Fundamentals of Induction Motor Drives.pptx

14 Template Contractual Notice - EOT Application

A Real-Time Interface for Xcos – an illustrative demonstration using a battery management system

1. 1www.esi-group.com Copyright © ESI Group, 2019. All rights reserved.Copyright © ESI Group, 2019. All rights reserved. www.esi-group.com A Real-Time Interface for Xcos Demonstrated on a battery management system Sven Jacobitz, Ostfalia University of Applied Sciences Scilab Conference 2019

2. 2www.esi-group.com Copyright © ESI Group, 2019. All rights reserved. Agenda • Introduction • Requirements to the RTI • Concept of the RTI • Realization of the RTI • Verification and application • Kalman Filter design for SoC estimation • Verification by online simulation • Summary and outlook

3. 3www.esi-group.com Copyright © ESI Group, 2019. All rights reserved. Project LoCoRCP Introduction 04/2014 – 09/2014 Feasibility study towards a Low-Cost RCP system with open-source platform for developing battery management systems 01/2017 – 12/2019 Low-Cost Rapid Control Prototyping system with open source platform for functional development of embedded mechatronic systems (LoCoRCP)

5. 5www.esi-group.com Copyright © ESI Group, 2019. All rights reserved. Requirements to the RTI • Basic-blocks for controlling the hardware interfaces • Automated programming of the target hardware • Generation of efficient C-code • Generation and configuration of the real-time application • Compiling, Linking, … • Programming the hardware • Modular structure • Flexibility • Extensibility

6. 6www.esi-group.com Copyright © ESI Group, 2019. All rights reserved. Overall concept Concept of the RTI • Generating code fragments from the model • Linking fragments, code templates and basic software • Call the compiler and linker • Programm the target hardware

8. 8www.esi-group.com Copyright © ESI Group, 2019. All rights reserved. Realization of the RTI • Written in Scilab Language • Controlling hardware peripherals using basic blocks • Basic blocs as sci function: [code_fragments] = foo(blkID, topology_struct) • Fist implementation: STM32F7 • Basis software generated by STM32CubeMX • Using FreeRTOS as operating system

10. 10www.esi-group.com Copyright © ESI Group, 2019. All rights reserved. Kalman Filter design for SoC estimation – modelling the battery Verification and application Equivalent circuit model Validation of the battery model using the DST power cycle

11. 11www.esi-group.com Copyright © ESI Group, 2019. All rights reserved. Kalman Filter design for SoC estimation – functional design Verification and application Discrete EKF with continuous system model

12. 12www.esi-group.com Copyright © ESI Group, 2019. All rights reserved. Kalman Filter design for SoC estimation – MiL-Simulation Verification and application Validation of the EKF using the MiL simulation 0 0.2 0.4 80 85 90 95 100 105 SoCin% Time in s

15. 15www.esi-group.com Copyright © ESI Group, 2019. All rights reserved. Summary and outlook Summary • LoRra approach for continuously model based design • Real-Time Interface between Xcos model an real-time application • Comfortable linking hardware interfaces to the model • Automated implementation of generated code • Extendable functionality and flexible target hardware • Verification by means of a BMS Function Outlook • Graphical user interface for measurement and calibration • LoRra Scilab Toolbox in Atoms

Editor's Notes

Codebausteine Embedded code transformer Rest (Compiler, linker, programmer)

A Real-Time Interface for Xcos – an illustrative demonstration using a battery management system

Recommended

Recommended

More Related Content

Similar to A Real-Time Interface for Xcos – an illustrative demonstration using a battery management system

Similar to A Real-Time Interface for Xcos – an illustrative demonstration using a battery management system (20)

More from Scilab

More from Scilab (20)

Recently uploaded

Recently uploaded (20)

A Real-Time Interface for Xcos – an illustrative demonstration using a battery management system

Editor's Notes