They can also tolerate thousands of charge-discharge cycles before breaking down.
While these power-handling properties give them the edge in electric vehicles (EVs) and other markets , Li-ion batteries can be unforgiving—and even dangerous. They must be closely monitored by a battery-management system (BMS) to safely and reliably wring out as much power as possible.
To measure the ins and outs of these batteries even more accurately in real-time, Eatron Technologies has rolled out a BMS-on-chip (SoC) co-developed with U.S.-based AI startup Syntiant for light mobility, industrial, and consumer devices.
Eatron embedded its intelligent BMS software into Syntiant’s neural decision processor (NDP) so that it can continuously deliver accurate and robust cell-level assessments of remaining charge and other facets of the battery. Eatron said the NDP120 can run its latest AI models directly on the device, wringing out up to 10% more useful power without changing the chemistry of the battery cells or the construction of the larger pack.
The problems that a BMS and eeking out 10% more performance and BMS use generally actually caused presmably! If a pack is big enough no BMS in needed or wanted. It wastes space better used for capacity and is a fire hazard. Its the cause of the very thing it claims it improves!The AI SoC can also run predictive diagnostics, including lithium plating detection, on the edge. By gaining more insights into the battery’s internal state, it’s able to identify potential issues before they cause failures or permanently impair its performance.
According to Eatron, the BMS software can deliver prognostics such as overall health, aging trajectory, and remaining useful life prediction to increase the battery’s useful life by as much as 25%.
Burgerman wrote:all of this is already a part of the cars computerised power module.
They never just chop off power when some arbitrary value is reached.
are better using a properly programmed cell balancing charger, like EVs do which are way more complex than any BMS, OR even like we do here.
The BMS used by Tesla in Model-S is based around Texas Instrument’s bq76PL536A-Q1 3-to-6 Series -Cell Lithium-Ion Battery Monitor and Secondary Protection. The BMS is integrated into every module and monitors the battery life, temperature, and charge-discharge cycle of cells. It is a stackable Battery Monitoring System and uses a High-Speed Serial Peripheral Interface (SPI) for Data Communications. The image below shows a simplified system connection of the BMS.
https://www.jkbms.com/
These have been recommended by Shirley, and I see them used in a lot of youtube videos. Are these the BMS you are saying we should not use? It seems very similar to the Tesla BMS you seem to admire.
The above active balancing BMS with active balancing current cover from 0.6A to 5A series, and support max continuous discharge up to 350A. Widely used for LTO battery packs 20S to 24S, LiFePO4 battery packs 16s to 24s, Lithium-ion battery packs 14S to 24S. Feel free to contact us for assemble manul or custom design BMS or technical support is needed by email info@jkbms.com
Several of those JK BMS and others do communicate via Bluetooth, CAN, or RS485. Outputting cell conditions, warnings, etc. Several chargers also have Bluetooth, CAN, or RS485, for turning on/off or adjusting output voltage and current limits. It isn't rocket surgery to read the BMS data about the cells, determine what the charger should do based on the logic you've given here in the forum, then send it the command to do so. Does the PL8 do that? Communicating to the ZXD2400? Could it?
The cutting on and off, I thought you were talking about the power supply before, but from your graph it looks like individual cells. Are we looking at the BMS balancing the pack there? It isn't being switched on and off, because it doesnt drop to zero. Looks like a reverse sawtooth. Quick rise, more gradual drop, no plateaus. Is that shorting a resistor across a cell periodically?
So how bout we see if we can design a BM BMS without all the safety cutouts, just the ones we want.
Rather than say "that computer stuff is too hard" we look at your advice on how to properly treat the cells, translate it into programming for a BMS, made as you like.
The only way to do that is to let the BMS for CHARGING be integrated with the charger.
That is exactly what I've been talking about. Doing exactly that. Maybe not integrated in the same box, but connected and cooperating to the point of being the same thing. It is what EVs do. Wheelchairs are EVs. Its about time we do it too.
You do want some minimal safety. At some very high voltage, the charger is obviously malfunctioning and leaving it connected is just damaging the battery for no reason. You may want to disconnect the charger. It is possible to just disconnect charger, and can be automatically reconnected after a timeout.
Or reconnected when Rnet is power cycled.
At some low voltage the wheels can no longer be turning. After say 12 hours you are certain the chair was put away left turned on with the joystick off center. You don't even need to jump right to switching off the load. Once you recognize the problem, you can trigger an Rnet error that wont stop the chair but tell you there is a problem. If condition persists, override rnet joystick commands as Luci does, to slow the chair to a stop.
What makes you think that a discontinued hobby charger is the only thing that will ever be capable of properly charging a wheelchair battery?
https://www.orionbms.com/
There is this too. https://openinverter.org/wiki/Battery_Charging
Seriously, that super expensive thing can only do 200mA balance? !
Return to Everything Powerchair
Users browsing this forum: acid_coke, JMGarage, Yennek and 2041 guests