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

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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: Subbaraman Narayanamurthy <subbaram@codeaurora.org>
Signed-off-by: Abhijeet Dharmapurikar <adharmap@codeaurora.org>
This commit is contained in:
Subbaraman Narayanamurthy 2017-06-23 18:25:09 -07:00 • committed by Nicholas Troast
parent 183bc63f12
commit c4205fe6be
1 changed files with 9 additions and 0 deletions
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9
drivers/power/supply/qcom/qpnp-fg-gen3.c
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@ -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);