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Description
MG Master LV 12V/600ADer Schutz, die berwachung und die Steuerung eines Batteriesystems ist sehr wichtig, um ein sicheres, zuverlssiges und einfach zu bedienendes System zu schaffen. Der MG Master HV ist die Sicherheits und Kontrolleinheit des Batteriesystems. Er schtzt die angeschlossenen Batteriemodule vor berladung, berentladung, bertemperatur, Untertemperatur und steuert den Ausgleich der Batteriezellen. Neben einer Sicherheitsfunktion berwacht und verfolgt der Master
Der Schutz, die Überwachung und die Steuerung eines Batteriesystems ist sehr wichtig, um ein sicheres, zuverlässiges und einfach zu bedienendes System zu schaffen.Der MG Master HV ist die Sicherheits- und Kontrolleinheit des Batteriesystems. Er schützt die angeschlossenen Batteriemodule vor Überladung, Überentladung, Übertemperatur, Untertemperatur und steuert den Ausgleich der Batteriezellen.
Neben einer Sicherheitsfunktion überwacht und verfolgt der Master HV weitere wichtige Parameter, um Einblick in den Batteriestatus und den Energieverbrauch zu geben.
Das kompakte Design macht ihn ideal für den Einsatz in Anwendungen mit begrenztem Platzangebot.
Modul
Spannung: 144 bis 800 V
Aktuell: 300 und 500 A-Versionen sind verfügbar
- Kompaktes Design
- Redundantes Batterie-Management-System
- Einfache Installation
- Integrierte Vorladung
- Entspricht den höchsten Sicherheitsstandards
- Interne Ereignisprotokollierung
Leistungsanschlüsse
Leistungsanschlüsse ermöglichen es dem Master HV, eine Reihe von Batterien einfach anzuschließen.
Die Amphenol PowerLok-Steckverbinder sind robust und verfügen über eine integrierte HVIL (High Voltage Interlock Loop) zur Überwachung der Verbindung.
Der niedrige Kontaktwiderstand erlaubt einen Dauerstrom von bis zu 500 A. Die PowerLok-Steckverbinder sind robust und verfügen über eine integrierte HVIL (High Voltage Interlock Loop) zur Überwachung der Verbindung.
Überwachung und Kontrolle
Kritische Parameter werden durch den Master HV überwacht, wie z.B. Zellspannungen und Temperaturen jedes angeschlossenen Batteriemoduls.
Es wird eine Reihe von Grenzwerten festgelegt, die Grenzen vorgeben. Für jeden der überwachten Parameter werden mehrere Grenzwerte festgelegt.
Zunächst eine Kontrollgrenze, die Ladegeräte oder Lasten steuert. Zweitens eine Warngrenze und drittens ein kritischer Fehler, der die Sicherheitsschütze öffnet und den Strompfad von den Batterien zu den Lasten und Ladegeräten unterbricht.
Ein gut integriertes System öffnet seine Sicherheitsschütze während des normalen Betriebs niemals.
Software für Diagnosewerkzeuge
Die Diagnose von Batteriesystemen ist wichtig während der Inbetriebnahme, der Systemtests, des Service, der Wartung und der Fehlersuche.
Die Diagnosewerkzeuge liefern alle detaillierten Informationen über das Batteriesystem. Hauptwerte, wie Spannung, Strom und Ladezustand, können angezeigt und in einer Datei protokolliert werden.
Darüber hinaus können detaillierte Batterieinformationen angezeigt werden, wie z.B. Zellspannungen, alle Temperatursensoren, Firmware-Version usw. Neben diesen Informationen können auch historische Werte und gespeicherte Ereignisse aus dem Master ausgelesen werden.
Um mehr Flexibilität zu schaffen, können Einstellungen konfiguriert werden, zum Beispiel die Auswahl des CAN-Bus-Protokolls oder das Hinzufügen einer Funktion zu einem dedizierten Ausgang.
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4.5 ★★★★★
Based on 1429 reviews
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Product Reviews
★★★★★ 3
have some good contents but too general
Format: Paperback
The book covers some good points, but overall, it's too general.
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Reviewed in the United States on June 28, 2024
★★★★★ 3
Why Politics in a Tech Book????
Format: Kindle
Well... I'm surprised to see the book blatently calls out its dedication to Black Lives Matter, which is in all caps so I assume it's referring to the political organization. It goes on to speak of 2020 being the year of an "awakening of injustices of systematic racism"... I thought I was buying a technical book??? Had I known this political bs was included I wouldn't have purchased it! However, I bought and I'm still reading it. If the politics goes away and the TECHNICAL content is good I'll update my review.
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Reviewed in the United States on December 13, 2020
★★★★★ 2
Not good use of time
Format: Paperback
It’s not clear who this book targets - neither experts nor novice will benefit. There are expert perspectives, only few of these are helpful, rest are too generic to be of any use. For instance the last entry is one an engineer who shares how she went from zero to expert in cloud engineering in six months but fails to mention a single resource or pathway for others to follow.
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Reviewed in the United States on April 2, 2022
★★★★★ 3
Uneven compendium of tips and insights, but still very useful
Format: Kindle, Format: Kindle
“In theory, theory and practice are the same. In practice, they are not" is why such bottom-up insights and lessons from the field are the fastest way to learn real life stuff. This series had a GREAT start with "Engineering Management" - I guess because it is way more subjective than Cloud Engineering and offered a variety of non-overlapping POVs. This one is a mixed bag, perhaps because "Cloud Engineering" was perceived amorphously by the authors. The scope was broad - from cloud-native (architecture), to cloud-ready (topology), to cloud-operations, to choosing tech (e.g., Lambda/serverless), to -ilities and economics -- it is like celebrating Halloween, Christmas and Labor Day together in a single long weekend.
I would give it 4/+ stars if at least 25% of such a book was "superb", giving 3 because about 10% of the book is. That still leaves 10 solid insights or learning that would otherwise take many failures to learn. And failures, especially in this emerging domain of complexity, is VERY expensive. Would love to see more books like this.
Let's summarize some key insights -
-- Real-time visibility across the entire DevOps lifecycle is key to winning in cloud.
-- Operations, especially operations at scale, is extremely hard. So, wherever possible, use Managed Services.
-- Distinguish between "availability" and "uptime" and measure each separately, and concretely.
-- In FaaS/Serverless, calling a function synchronously increases debugging complexity.
-- Good code is like good joke - it needs no explanation.
-- "Building your app or platform on top of the abstractions that a cloud provider gives you does not make the underlying layers stop existing. In many cases, it makes them even more important." That makes the failure modes LESS obvious than we were used to. Therefore having "extreme visibility" into your systems will help "separate the issues at the layer you're focused on from the fundamental system issues". i.e., just because what was under the hood is now even less visible, don't forget them. Many recent "cloud failures" have been in networking fault domains.
-- Cloud is not optimized for replacing static infrastructures.
-- Containers, service meshes and serverless jumpstart dev productivity but they also change the attack surface of apps and infra.
-- "Number of containers that are alive for 10 sec or less has doubled to 22%". 73% of all containers live for 30 minutes or less.
-- Adopt an "assume breach" stance for everything. Have a break-glass account.
-- Ensure you have a thorough understanding of where and how secrets are secured.
-- Grey failures (transient degradation of services) are often worse than complete crashes, since the latter have a short feedback loop.
-- Resilience engineering has existed as a sub-discipline within safety sciences. We just recently started applying its concepts in technology. Resilience can be thought of as a "socio-technical system" with Robustness ("system X has property Y that is robust in sense Z to perturbation W"); Reliability (consistent operations or service levels); Rebound (ability to deal with a chaotic situation using structures developed AND deployed BEFORE the chaos). In other words, robustness protects systems against a SPECIFIC type of failure mode. When a system is robust in many dimensions, it approaches good resilience to failure.
-- Resilience is something you "do", not something you "have". Resilience is a verb.
-- Moving from one class of nines to the next is 10 times more expensive.
-- Production System really means "system that someone else, anyone else, can hold you accountable for".
-- Most common theme across incidents is that something, somewhere was surprising.
-- Incidents are unplanned investments...your challenge is to maximize ROI.
-- We used to think of scale in two dimensions - horizontal (more) and vertical (bigger). In cloud, think of "scale out" (when demands increase) and "scale in" (when demand decreases).
-- Architecture diagram is also a map of failure modes.
-- Async communication is a friend of Cloud Reliability.
-- Test in production is a competitive advantage. The complexity of traffic patterns going through high-scale production systems is increasingly harder to reproduce in a controlled env.
-- Hundreds of open issues is fine, but if the repo has gone months (or, years!) without a release, THAT is a warning sign.
-- It is hard to write good tests for bad code.
-- Platforms come and go. But first principles and patterns will always exist, because they are the ones and zeros.
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Reviewed in the United States on November 6, 2023
★★★★★ 2
Shallow, biased and significantly overpriced
Format: Paperback
Well, this purchase was a disappointment. 20% of the pages are dedicated to just highlighting the bios and backgrounds of the many different authors that contributed this great wisdom. And let me be clear, the authors are solid. They are professionals with credible backgrounds and experience. But it's the format and constraints of this book that makes it virtually impossible for that to shine through. Because the rest of the book (80%) is dedicated to the so called "97 things every cloud engineer should know". And unfortunately the average length of one of these "things" is about 1.5 pages long, and as such extremely shallow and in about 30% of the cases straight up promotions for specific company services. You will find Google cloud advocates telling you to use managed services, of Google of course. AWS engineers telling you to avoid them and use IaaS. LaunchDarkly employees telling you to use feature flags. The list goes on. The TL;DR: here is that if you have built anything on the cloud in the last 2 years, this book is going to be a waste of your time and money. You are better of googling: "cloud best practices" and dedicating 2h to reading the first 10 non-ad related search results.
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Reviewed in the United States on March 23, 2022