### Apache Airflow version

2.2.2 (latest released)

### Operating System

Ubuntu 18.04.6

### Versions of Apache Airflow Providers

_No response_

### Deployment

Other Docker-based deployment

### Deployment details

_No response_

### What happened

The deprecated variable `execution_date` raises an error when used in an f string template with date string formatting.

```python
In [1]: execution_date
DeprecationWarning: Accessing 'execution_date' from the template is deprecated and will be removed in a future version. Please use 'logical_date' or 'data_interval_start' instead.
Out[1]: <Proxy at 0x7fb6f9af81c0 wrapping DateTime(2021, 11, 18, 0, 0, 0, tzinfo=Timezone('UTC')) at 0x7fb6f9aeff90 with factory <function TaskInstance.get_template_context.<locals>.deprecated_proxy.<locals>.deprecated_func at 0x7fb6f98699d0>>

In [2]: f"{execution_date:%Y-%m-%d}"
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
----> 1 f"{execution_date:%Y-%m-%d}"

TypeError: unsupported format string passed to Proxy.__format__
```



### What you expected to happen

Executing `f"{execution_date:%Y-%m-%d}"` should return a string and not raise an error. 

### How to reproduce

```python
from datetime import datetime
from airflow import DAG
from airflow.operators.python import PythonOperator


def test_str_fmt(execution_date: datetime):
    return f"{execution_date:%Y-%m-%d}"


dag = DAG(
    dag_id="Test_Date_String",
    schedule_interval="@daily",
    catchup=False,
    default_args={
        "depends_on_past": False,
        "start_date": datetime(2021, 11, 1),
        "email": None,
        "email_on_failure": False,
        "email_on_retry": False,
        "retries": 0,
    },
)

with dag:
    test_task = PythonOperator(
        task_id="test_task",
        python_callable=test_str_fmt,
    )
```

### Anything else


```python
from datetime import datetime
...
datetime.fromisoformat(next_ds)
TypeError: fromisoformat: argument must be str
```


### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

airflow/models/taskinstance.py
"""For API-compatibly with TaskInstance.
        Returns self
        """
        return self
class TaskInstance(Base, LoggingMixin):
    """
    Task instances store the state of a task instance. This table is the
    authority and single source of truth around what tasks have run and the
    state they are in.
    The SqlAlchemy model doesn't have a SqlAlchemy foreign key to the task or
    dag model deliberately to have more control over transactions.
    Database transactions on this table should insure double triggers and
    any confusion around what task instances are or aren't ready to run
    even while multiple schedulers may be firing task instances.
    """
    __tablename__ = "task_instance"
    task_id = Column(String(ID_LEN, **COLLATION_ARGS), primary_key=True, nullable=False)
    dag_id = Column(String(ID_LEN, **COLLATION_ARGS), primary_key=True, nullable=False)
    run_id = Column(String(ID_LEN, **COLLATION_ARGS), primary_key=True, nullable=False)
    start_date = Column(UtcDateTime)
    end_date = Column(UtcDateTime)
    duration = Column(Float)
    state = Column(String(20))
    _try_number = Column('try_number', Integer, default=0)
    max_tries = Column(Integer)
    hostname = Column(String(1000))
    unixname = Column(String(1000))