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Commit c4205fe6 authored by Subbaraman Narayanamurthy's avatar Subbaraman Narayanamurthy Committed by Nicholas Troast
Browse files

power: qpnp-fg-gen3: add support for skew in capacity learning algorithm 



In some cases, a skew needs to be applied on the learnt capacity
to counter the error. Add support for it.

Change-Id: I7f80088e7db4e3414d86983722c92e4fc14323e0
Signed-off-by: default avatarSubbaraman Narayanamurthy <subbaram@codeaurora.org>
Signed-off-by: default avatarAbhijeet Dharmapurikar <adharmap@codeaurora.org>
parent 183bc63f

drivers/power/supply/qcom/qpnp-fg-gen3.c

+9 −0
Original line number Diff line number Diff line
@@ -1315,11 +1315,20 @@ static bool is_temp_valid_cap_learning(struct fg_chip *chip) 
	return true;

}



#define QNOVO_CL_SKEW_DECIPCT	-30

static void fg_cap_learning_post_process(struct fg_chip *chip)

{

	int64_t max_inc_val, min_dec_val, old_cap;

	int rc;



	if (is_qnovo_en(chip)) {

		fg_dbg(chip, FG_CAP_LEARN, "applying skew %d on current learnt capacity %lld\n",

			QNOVO_CL_SKEW_DECIPCT, chip->cl.final_cc_uah);

		chip->cl.final_cc_uah = chip->cl.final_cc_uah *

						(1000 + QNOVO_CL_SKEW_DECIPCT);

		do_div(chip->cl.final_cc_uah, 1000);

	}



	max_inc_val = chip->cl.learned_cc_uah

			* (1000 + chip->dt.cl_max_cap_inc);

	do_div(max_inc_val, 1000);