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Description
KONNWEI KW210 Car Battery Test Battery Capacity Resistance Battery Detector, KW210feature: 1. With the help of STM32 chipset hardware, a fast and smooth running speed is realized. 2. Make sure the battery status is (OK) or (Replace). 3. Check the battery capacity cold start current (CCA), DIN, EN and IEC information about the battery rating. 4. Check the internal resistance value (m). 5. Display life (percentage). 6. Battery start test, load test, battery charging test, ripple test. 7. Graphical voltage real time monitoring. 8.
feature:1. With the help of STM32 chipset hardware, a fast and smooth running speed is realized.
2. Make sure the battery status is (OK) or (Replace).
3. Check the battery capacity-cold start current (CCA), DIN, EN and IEC information about the battery rating.
4. Check the internal resistance value (m).
5. Display life (percentage).
6. Battery start test, load test, battery charging test, ripple test.
7. Graphical voltage real-time monitoring.
8. Storage and review of test results.
9. Print the test results and battery report on the PC.
10. Support languages: English, Japanese, French, German, Russian, Dutch, Spanish, Portuguese, Polish, Italian.
11. Application: used to test various 12V batteries (start (SLI), deep cycle and marine) wet (water injection), VRLA or maintenance-free (MF), sealed maintenance-free (SMF), absorbent glass mat (AGM) , EFB and gel cells.
12. Support the main battery standards CA, CCA, BCL, MCA, JIS, SAE, EN, GB, DIN and IEC.
13. Measurement standards:
CCA: 100-2000.
BCI: 100-2000.
CA: 100-2000.
MCA: 100-2000.
JIS: 26A17-24SH52.
DIN: 100-1400.
IEC: 100-1400.
EN: 100-2000.
SAE: 100-2000.
GB: 100-1400.
14. Specifications:
Display: color TFT LCD screen.
System voltage: 12 volts.
Input voltage range: 8V-16V
Power requirements: No built-in battery is required.
Turn on the power after turning on the power during the test.
15. Shipping list:
KW210 battery tester unit x1
USB cable for upgrading and printing x1
Box x1
User manual x1
Nylon protective sleeve
Specification:
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4.1 ★★★★★
Based on 14 reviews
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Product Reviews
★★★★★ 4
Really good content on Rag and Agents
Format: Paperback
The book is a plethora of AI implementations put together this covers everything required for an Ai engineer, llm developer and enterprise user to understand the terms are simple and implementation is even better, you should definitely check it out
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Reviewed in the United States on July 29, 2025
★★★★★ 5
Good coverage of the subject.
Format: Paperback
Good.
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Reviewed in the United States on September 19, 2025
★★★★★ 1
Not worth your time!
Format: Paperback
The abstration level of the knowledge presented in this book is mixed and poorly organized, for example, it could leap from high level suddenly into the details of import packages and codes. This book tries to cover a loooot but achieves so little in any specific topic. Sometimes the high level logic is not even consistent, sometimes the low level details contain errors. There are nonsensical sentences, poorly formatted equations, figures should be printed in color to understand but are in black and white. While I may doubt myself of not being able to delve in at the beginning, gradually it is pretty clear that it is the poor quality of this book that drags me and makes me want to finish reading as soon as possible. I cannot believe this quality of writing was generated with the help of AI. This is an evidence that human can write much poorly than AI. All the figures from the cited papers are of poor resolution and quality. I have submitted more than 15 erratas to the publisher. These just cover the obvious mistakes or errors, and cannot cover the poor organization and logic of the book. It's such a waste of my money and time!
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Reviewed in the United States on May 28, 2026
★★★★★ 2
Pages were torn
Format: Paperback, Format: Paperback
Pages were sent torn
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Reviewed in the United States on January 20, 2026
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more!
Disclosure: the publisher provided me with a free review copy of the book.
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Reviewed in the United States on October 24, 2025